Sökresultat för "Semantic Modeling"

Your New Role  Join a global product organization shaping how knowledge is structured across a world-class digital audio ecosystem. We’re looking for a Data Curator / Ontologist to help design and evolve the internal meaning systems behind how information is organized, connected, and understood. This is a foundational role within a forward-thinking Platform Mission team, initially focused on domains such as audiobooks, genres, and podcast topics, with a natural pathway into AI-driven knowledge modeling and semantic structuring. Rather than working directly with media content, you’ll operate at the level of internal knowledge architecture, helping define and refine how the organization represents itself through data. You will collaborate closely with engineers and cross-functional partners to structure core internal domains such as: Teams and organizational structures Projects and initiatives Strategic concepts and frameworks Emerging AI-related knowledge models This is an experimental and evolving role, ideal for someone who enjoys shaping ambiguity into structure, testing new approaches, and learning as they go. You’ll join a fully remote, globally distributed team spanning Pacific Time, Dublin, Stockholm, and Amsterdam. The team thrives in an asynchronous-first environment, relying heavily on documentation and Slack-based collaboration, with meetings designed around overlapping working hours. Company Presentation Our client is a global tech company offering popular streaming services to millions of users worldwide. With a vibrant headquarters in Stockholm they provide a flexible environment where creativity and innovation thrive. The corporate language is English, and cross-functional teams work together to develop products that reach millions every day. Here, you’ll have the opportunity to shape the future of digital experiences in a culture that values technical excellence, forward-thinking, and collaboration. Good to Know Scope of employment: Full-time, 100% Type of contract: Fixed-term employment as a consultant via JobBusters. Working model: Remote Start date: Immediately End date: 6 month, with the possibility of extension In your application: Please ensure that your CV clearly demonstrates how you meet the qualifications required by the client. To succeed in this role, you will need:  A strong foundation in data structuring, ontology work, or internal knowledge management Strong interdisciplinary communication skills, able to bridge technical and non-technical domains Comfort working in a remote, async-first environment Experience collaborating with engineers and data/knowledge teams Curiosity for how systems of meaning evolve, especially in AI-adjacent contexts A proactive, exploratory mindset suited to a role still being defined What we Offer Secure employment with a collective bargaining agreement, insurance coverage and occupational pension Wellness allowance and employee discounts and offers via Benifex (e.g., health, leisure, transport and healthcare) Flex pension and access to the Lifeplan pension advisory service Additional compensation during parental leave Occupational health services Long-term assignments and a dedicated Consultant Manager for personal support Opportunities to build valuable experience, expand your network and grow your future career We look forward to receiving your application  We review applications on an ongoing basis. As recruitment processes in the consulting industry can move quickly, the position may be filled before the advertised deadline — so we encourage you to apply as soon as possible. You do not need to submit a cover letter. Instead, please respond to the screening questions included in the application process.

About Cyberway At Cyberway, we believe that technology can make everyday life simpler, smarter, and more sustainable — for businesses, organizations, and people. That’s why we create solutions that truly make a difference. We combine deep technical expertise with strategic insight, always aiming to transform complex digital challenges into clear, scalable, and future-proof results. We believe in more than just code — we believe in people. It’s the passion, skills, and collaboration of individuals that drive real change. Whether it’s system development, data analysis, UI/UX, infrastructure, or delivery models such as nearshore and team as a service, we build success through experience, innovation, and action — with the right people at the core. The Role We are now looking for an engineer who wants to join our journey. With us, you’ll have the opportunity to work with modern technologies, exciting clients, and projects that make a real impact. The role is diverse — sometimes you’ll work independently, sometimes in teams, always in close dialogue with both customers and colleagues. We believe you have a background that makes you confident in your skills, while also being curious to develop new ones. Most importantly, you want to contribute to building the Cyberway culture together with us. What We're Looking For 5+ years of experience as a Data Engineer with strong knowledge of data modeling (dimensional modeling, star schemas, partitioning, and clustering) Hands-on experience with either: Microsoft Azure (Azure Databricks, Azure Data Factory, Azure DevOps, CI/CD, Azure Storage, Microsoft Fabric, and Power BI), or Google Cloud Platform (GCP) (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and CI/CD) Strong programming skills in SQL and Python Experience designing and building scalable data pipelines, including data ingestion, transformation, and semantic modeling Solid understanding of data warehousing, ETL/ELT concepts, and modern data platform architectures Experience working with large-scale datasets and optimizing high-volume data processing (including tables containing billions or trillions of rows) is highly valued Familiarity with metadata management, performance tuning, and cost optimization is an advantage Ability to work both independently and collaboratively in agile teams Excellent communication skills in English and/or Swedish What We Offer Exciting and challenging assignments where you make a real difference A work environment built on transparency, trust, and openness We support you in building the career path that suits you best The opportunity to influence both your own development and Cyberway’s future A culture where innovation, people, and action go hand in hand Location For this role, we are looking for someone based in Skåne, as many of our clients and projects are located in the region.

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life. What you’ll do We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the best data solutions are created close to the business, by teams who understand both the context and the technology. We are now looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You will be part of a cross-functional team where business experts, analysts, and developers collaborate closely. Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices. You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities, and ensuring progress on key initiatives. Responsibilities: * Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions * Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions * Help structure and expose data so it is consistent, understandable, and reusable across domains · Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns * Enable self-service use of data by making it accessible and usable beyond engineering teams * Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability * Define and promote best practices for data quality, testing, documentation, and access control * Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products * Support and coach colleagues in modern data engineering practices What you’ll bring You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed — and how those designs need to evolve as technology and business needs change. We believe you bring many of the following: * Several years of experience in data engineering or modern data platform development * Experience building end-to-end data solutions (ingestion, storage, transformation, consumption) * Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities * Strong SQL skills and experience modeling data for analytical use * Experience with cloud-based data platforms and infrastructure-as-code * Knowledge of engineering practices such as CI/CD, testing, and code review * Ability to make sound technical decisions without being tied to specific tools or vendors * Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance * Experience working closely with business stakeholders, analysts, or operational teams * Strong communication skills and ability to explain technical solutions clearly Nice to have: * Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization Benefits at Stegra At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive. Read more about Benefits at Stegra here. Here’s what makes this role unique: * Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem. * Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration. * Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital solutions create real value in their day-to-day operations. This is Stegra Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future. Our Stockholm Office Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here, you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and amenities.

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE ARE LOOKING FOR: * Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) * Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) * Understanding of dimensional modeling, data contracts, and metrics/semantical layers * Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) * Strong business acumen and ability to translate domain logic into scalable data structures WHAT YOU WILL DO: * Build and maintain data models, following modular, tested, and version-controlled practices * Partner with domain teams to understand business logic and codify it into reusable models and metrics * Define and document key metrics and data contracts across domains * Collaborate with Data Platform Engineers to optimize query performance and warehouse cost * Automate and maintain data documentation, lineage, and governance standards * Develop guidelines for analytics development, data modeling and structure conventions OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill in a short form then jump on an intro call with recruiter. 2. Complete the general programming exercise. 3. Show us how you approach problems during several technical interviews. 4. Tell us about your most impressive project. About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal

Join a forward-thinking team shaping the future of HR Analytics. Work with a modern Azure and Databricks stack to deliver high-impact data solutions across Sweden and the Baltic states in a dynamic banking environment. About the role As a Data Engineer in this role, you will combine technical expertise with business understanding to develop our client's HR Analytics platform. You will primarily work on building and maintaining data models in Databricks using PySpark and SQL. You will also oversee and further build upon automated workflows in Databricks Workflows. The key competencies for this position also include Kimball modeling, practical application of SCD1 & SCD2, and experience with code management via Azure DevOps. You are offered We offer a high-impact hybrid role where you can work with the latest cloud technologies like Databricks and Azure, while enjoying the flexibility of a modern workplace environment. Work tasks This role focuses on the technical development and orchestration of data within an HR Analytics environment, utilizing Azure and Databricks to process complex HR data sets. Develop and maintain PySpark and SQL notebooks within Databricks on a daily basis. Implement and manage SCD1 and SCD2 Configure Unity Catalog for data governance, including catalogs, grants, and security. Manage CI/CD processes using Azure DevOps repos and YAML pipelines. Monitor Databricks Workflows and task dependencies. Collaborate on Power BI semantic models. We are looking for Advanced knowledge of Databricks, including PySpark and SQL. Strong experience with Delta Lake operations such as MERGE. Proficiency in designing Kimball star schemas and SCD1/SCD2. Solid understanding of Azure DevOps, YAML pipelines, and PR processes. Professional fluency in English and Swedish. It is meritorious if you have Knowledge of Oracle HCM or PeopleSoft data models. Experience with Power BI import mode and semantic models. Familiarity with Azure ADLS Gen2 Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: * Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. * Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. * Strategically plan and deliver meaningful projects to increase data literacy at Storytel. * Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. * Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience. * Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work. We believe that you have * Experience with creating and maintaining semantic layers. * Experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering. * Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools). * The ability to consistently deliver performant, accurate, and scalable solutions. * Experience mentoring junior engineers and driving team-wide technical improvements. * Proven ability to lead complex data projects, solve problems independently, and proactively improve products. * Excellent communication skills with the ability to explain complex technical concepts to various audiences. * The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge. Bonus if you experience * Working with Python. * With data governance and access management. * With different data modeling schemas. * Working with international teams and global data operations. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set. Does this sound like you? If you feel like Storytel is a place where you could thrive, please submit your application in English and we will contact you as soon as possible.

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds. We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders. You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others). KEY RESPONSIBILITIES: * Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse. * Empower the organization to use and interpret data. * Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used. * Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling  * Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling. * Develop, own and maintain data modeling standards and the data development experience * Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance. * Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation WE BELIEVE YOU HAVE: * Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear). * Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave). * Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use. * Strong business acumen with an understanding of sales, marketing, and product analytics. * Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts. * Experience with BI-tools and development of BI features  * Knowledge of software collaboration using git. * Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills. * Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments. IT IS BENEFICIAL IF YOU HAVE: * Hands-on experience with dbt (or similar) * Experience with a semantic or metrics layer * Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work. * Professional experience working in an agile environment NOT REQUIRED: * Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities). * A cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Culture interview 4. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation: At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 50,000–SEK 68,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm.  What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn. Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications. In this role, you’ll also Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform Write and maintain basic SQL transformations, data models, and data quality checks Help structure and document data models, metrics, and business definitions Support the development of the semantic layer in Omni Investigate data issues and help ensure data is accurate, reliable, and easy to use Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions. Furthermore, we believe you have: A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field Some knowledge of SQL Basic programming experience, preferably in Python An interest in databases, data modeling, analytics, and modern data platforms Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn. School projects, internships, thesis work, or personal projects involving data Data modeling concepts such as facts, dimensions, entities, relationships, or star schema Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar Git or other version control tools BI tools such as Looker, Tableau, Power BI, or simila The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we are looking for a Junior Data Engineer to join our team and grow with us. You do not need years of work experience, we care more about your mindset, technical foundation and eagerness to learn. Let us tell you about the role 📖 As a Junior Data Engineer, you’ll be a part of our central data team and collaborate closely with both technical teams and business stakeholders to build and improve our data platform. You’ll play an important role in building the data foundations behind modern AI products and intelligent agents while exploring how AI systems interact with and make use of data in real-world applications. In this role, you’ll also Support data ingestion and pipeline maintenance using tools such as Airbyte and Dataform Write and maintain basic SQL transformations, data models, and data quality checks Help structure and document data models, metrics, and business definitions Support the development of the semantic layer in Omni Investigate data issues and help ensure data is accurate, reliable, and easy to use Your story so far 👀 We are looking for someone who is structured and takes ownership of their work. We believe you are self-driven, communicative and comfortable collaborating with both technical teams and stakeholders. You value quality, enjoy learning and understand the importance of strong foundations when building scalable and reliable data solutions. Furthermore, we believe you have: A degree or recently completed studies in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field Some knowledge of SQL Basic programming experience, preferably in Python An interest in databases, data modeling, analytics, and modern data platforms Curiosity about semantic layers, metrics, information modeling, and AI-driven data solutions You might have experience with some of the following areas, but don’t worry if you don’t, we’re more interested in your overall potential and willingness to learn. School projects, internships, thesis work, or personal projects involving data Data modeling concepts such as facts, dimensions, entities, relationships, or star schema Tools such as Omni, dbt, LookML, Cube, BigQuery, Snowflake, Airflow, or similar Git or other version control tools BI tools such as Looker, Tableau, Power BI, or simila The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application. Please submit your grades and CV when you apply. Applications are reviewed continuously and if you have any questions about the role, contact Erika Thorslund, erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

Analytics Engineer, Stockholm Bravida is one of the Nordic region's leading installation and service companies covering electrical, HVAC, plumbing, sprinkler, security & fire, and automation across Sweden, Norway, Denmark and Finland with over 12,000 employees and around 300 local branches. Behind that scale sits serious operational complexity: projects, procurement, and finance functions that run on data. We're hiring an experienced Analytics Engineer to own the data models that ties it all together.   The Role Data modelling is the core of this job. You'll design and own the semantic layer that makes Bravida's operational and financial data trustworthy, consistent, and accessible for reports today and generative BI tomorrow. AI isn't a side interest here; it's central to how we expect this role to operate and where we're taking our analytics capability. Architect and own data models in dbt on Snowflake as the primary deliverable Define and enforce modelling standards, documentation, and data contracts across domains Build and manage pipelines in Dagster Work with AI tooling actively to accelerate your own output and enable smarter self-service for the business Drive our move toward generative analytics, shaping how business users query and interpret data through natural language Work directly with operations, procurement, and finance to model their domains properly Lead analytics data quality and reliability improvements across the stack   The Team The Data & Analytics team sits inside Operational Excellence, a fast-moving function with a mandate to improve how Bravida runs at every level. That means getting out into the business, building relationships with branch managers and project leads across the Nordics, and making data something people actually pull toward rather than have pushed at them. We move quickly, we're visible, and we don't accept "this is how we've always done it." If you need a perfectly quiet environment to do your best work, this probably isn't the right fit. If you thrive on direct feedback, short cycles, and seeing your work land in the real world fast, it is.   What You Bring 3+ years as an Analytics Engineer, Data Engineer, or Data Analyst Deep dbt experience; you've built and maintained production-grade models others depend on Strong Snowflake or comparable modern platform experience Solid grasp of dimensional modelling, data contracts, and semantic layer design Active user of AI tools in your workflow and a view on how they change the job Genuine interest in generative BI and what it means for how businesses consume data beyond today Strong stakeholder management; you can hold a room, push back constructively, and get buy-in from people who weren't looking for it You spot problems before they're reported and propose solutions before they're requested You make good calls with incomplete information and don't wait to be told what to build next English required; Nordic languages a bonus   What We Offer Ownership of a decision engine that matters at real scale A modern stack (Snowflake, dbt, Dagster) with active investment in AI and generative BI Direct access to senior stakeholders across operations, procurement, and finance A fast team with a real mandate, not a support function waiting for tasks Autonomy on your own career and continuous development The construction and installation industry is going through fundamental change in how projects are run, how decisions get made, and how value gets measured. The civic projects Bravida works on: the hospitals, schools, infrastructure, and buildings that society depends on, they deserve to be built and then operated on better data. We take that responsibility seriously. That's what this role is part of.   Process: Intro call with hiring manager, then a practical technical case study followed by meeting the team and discussing the solution. Final step is meeting some of the Operations team and key stakeholders.   You must be eligible to work in Sweden and the EU.

Job Description WHAT YOU’LL DO Lead the design, maintenance, and evolution of conceptual and logical information models that enable shared understanding of core business concepts across the organization. Own and contribute to central information architecture artefacts such as the Enterprise Data Model and Data Domain Map, ensuring alignment across domains and initiatives. Drive the definition and consistent use of business terminology, taxonomies, and ontologies, enabling a common language between business and technology. Collaborate closely with business stakeholders, data product teams, solution architects, and engineers to translate business needs into clear information models that guide downstream implementations. Define and maintain standards, guardrails, and best practices for information architecture and modelling, ensuring they are pragmatic and usable in a fast‑changing environment. Ensure that information models support interoperability, reuse, and long‑term scalability across the solution landscape. Assess current (as‑is) data flows for core business objects and design target (to‑be) views that support future business needs. Actively support and enable data governance and metadata practices, in close collaboration with Data Governance colleagues. Educate, guide, and coach stakeholders and architects, helping to embed information architecture thinking across teams. Contribute to continuous improvement of architecture tooling and ways of working, including integration with data catalogues and metadata management tools. WHO YOU’LL WORK WITH You will work closely with business domain experts, Data Domain Owners, Data Stewards, solution architects, data engineers, analytics teams, and data governance colleagues. Together, you will establish shared language, trusted information structures, and clear architectural guidance that support data‑driven initiatives and future AI and analytics use cases. WHO YOU ARE We are looking for someone who has: Several years of experience working as an Information Architect or in closely related architecture roles, with a strong focus on conceptual and logical modelling. Proven ability to translate complex business concepts into clear information models, taxonomies, and definitions. Experience working with enterprise‑level architecture artefacts such as enterprise data models, domain maps, or similar structures. Strong understanding of how information architecture, data management, and data governance work together. Experience defining and documenting standards, guardrails, and modelling guidelines. Hands‑on experience with architecture and modelling tools (e.g. Sparx EA, Erwin, LeanIX or similar) and familiarity with data catalogues or metadata tooling. Hands‑on experience with ontology or semantic standards (e.g. RDF, OWL, SKOS, SPARQL) or equivalent conceptual modelling approaches. Strong communication and facilitation skills, with the ability to educate and influence both business and technical stakeholders. And someone who: Has a holistic mindset, seeing the big picture while still being able to work hands‑on with models and definitions. Is comfortable operating in a low‑maturity environment, helping the organisation move step‑by‑step toward more structured and shared ways of working. Can take ownership, work independently, and drive progress without everything being fully defined upfront. Enjoys mentoring and coaching others, contributing to a strong and collaborative architecture community. Is curious, pragmatic, and motivated to continuously improve how information is structured and understood across the organisation. Additional Information WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​WHY YOU’LL LOVE WORKING HERE ​ We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries. JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ ​Take the next step in your career together with us. The journey starts here.​ ​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.​

Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal methods, provides the ideal environment for research on programming with formal guarantees — a topic of increasing practical importance. About us  The https://www.chalmers.se/en/departments/cse/, a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact.  At the https://www.chalmers.se/en/departments/cse/our-research/computing-science/, we advance secure and trustworthy software and systems, spanning foundations, programming languages, tools and practical methods that help shape dependable digital infrastructures.  You will be joining a highly collaborative and international environment spanning the Functional Programming and Formal Methods units. We conduct world-leading research in programming language design, semantics, interactive theorem proving, and formal verification. About the research project We are looking for two Postdocs with a strong background in functional programming to join our dynamic environment. We have two rather flexible subprojects, and we want to recruit the best functional programmers and tailor the exact research focus to your unique strengths. Depending on your background and interests, you will have the opportunity to contribute to our ongoing research initiatives. These range from exploring the foundations of programming languages (such as advanced type systems and functional logic programming) to bridging the gap between ad hoc array processing and formally verified functional programming using interactive theorem provers. Who we are looking for  The following requirements are mandatory:  A doctoral degree (or equivalent foreign degree) in Computer Science, Mathematics, or a related field. This eligibility requirement must be met no later than the time the employment decision is made. Strong written and verbal communication skills in English. A solid background in functional programming. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application:  We expect you to have documented expertise in one or more of the following areas: Programming language semantics and type systems Functional logic programming Property-based testing Interactive theorem proving (such as Agda, Lean, or Rocq) Domain-specific languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis, or climate impact modeling It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline. What you will do As a Postdoc, you will drive independent and collaborative research to push the boundaries of functional programming and formal methods. In addition to theory development, your work will have the potential to scale algebraically-accountable architectures to high-stakes, continuous domains, encompassing foundational research, formal verification, and language design. Working closely with the core research team (Patrik Jansson, Koen Claessen, and Mary Sheeran), you will develop novel techniques, prove their properties, and co-author high-quality scientific publications. Beyond your core research, you will have the rewarding opportunity to mentor MSc or PhD students, sharing your expertise with the next generation of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in academia, industry, or the public sector. Contract terms   The position is a temporary full-time employment for two years with the possibility of a one-year extension.  The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.  What we offer  As a postdoc at Chalmers, you are an employee and enjoy all employee benefits. Read more about  https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/  for employees.  A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en.  Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/  Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.  If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.  Application procedure  The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  CV  A comprehensive CV, including a complete list of publications.  Details of previous teaching and pedagogical experience.  Personal letter  A brief introduction about yourself.  A summary of your previous research fields and key research outcomes.  An outline of your future goals and research focus. Please clearly outline your specific research interests and indicate which of the listed expertise areas align best with your background. Use the button at the foot of the page to reach the application form.       A background check may be conducted as part of the application process.     Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.    We welcome your application no later than Sunday 2026-08-16.

På ABB hjälper vi industrier att bli mer resurseffektiva och renare – och varje person här bidrar till resultaten. Du kommer att få möjlighet att leda, få stöd att växa och kunna vara stolt över den påverkan vi skapar tillsammans. Gå med oss och hjälp till att driva det som driver världen. Denna position rapporterar till: Portfolio Manager __ The Center of Expertise plays an important role in developing life-cycle management strategies, service concepts, and technical knowledge tools for motors and generators produced in Sweden. As our organization continues to develop its data-driven ways of working, we are now looking for a person who is passionate about understanding the business and translating business needs into scalable, reliable, and value-creating data solutions. In this role, you will take an active part in mapping and understanding our data landscape, including data flows, business processes, and the logic that connects them. You will support the organization in areas such as data modelling, semantic views, data quality, verified business logic, and identifying where AI-enabled solutions can improve business processes and decision-making. You will work closely with stakeholders across the business to identify improvement opportunities, support existing data processes, and help migrate, transform, and modernize solutions where needed. A key part of the role will be to contribute to long-term data models and strategies that enable better insights, more efficient reporting, and stronger decision-making. Qualifications for the role Experience in data-related areas such as SQL, BI, data modelling, semantic layers, data quality, or data transformation. Ability to identify and apply AI-driven workflows to create measurable business value. Familiarity with data platforms such as Snowflake, Databricks, or similar environments. Knowledge of PowerPlatform is considered a plus. Strong interest in understanding business processes and translating them into clear data needs and practical solutions. Good collaboration and communication skills, with the ability to work closely with stakeholders across the organization. Fluency in both Swedish and English, written and spoken, is a must. More about us ABB Motion High Power (MOHP) Division offers a comprehensive product portfolio of large AC motors and generators. From general purpose to highly customized designs, synchronous motors provide high efficiency, reliability and availability across all major industries and applications, including some in the toughest and most demanding environments. The division also has a long track record of designing and building generators for wide range of industries, including power generation, marine, oil and gas, mining, and data centers. Hiring Manager Josef Evindar +46 72 720 60 01 will answer your questions about the position. Union representatives; Unionen: Katja Saari, +4673- 077 05 02; Ledarna: Mats Wahlund, +4676- 769 80 0; Sveriges ingenjörer: Håkan Sjöberg, +4670- 396 0002. All other questions can be directed to Talent Partner Robert Norén +46 72 461 20 95. We look forward to reading your application in PDF format. Please note that the interview process is ongoing, apply now to secure your spot in the recruitment process! Last day to apply is 13th of August. Please note that to be eligible for employment at ABB Sweden, you will need to pass our pre-employment screening steps. This includes a reference check, a drug test, and could also include an extended background check. We kindly decline direct contact with staffing and recruitment agencies as well as sellers of additional job advertisements. För att bygga en renare och smartare framtid krävs alla sorters människor: de nyfikna, de modiga och de kreativa. Därför välkomnar vi människor med alla bakgrunder och erfarenheter. Är du redo att göra skillnad? Ansök idag eller besök https://www.abb.com för att lära dig mer om hur våra lösningar påverkar hela världen.

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the VP of Revenue Operations and Global Sales Leadership as we scale our enterprise business — defining what success looks like across the full bow-tie funnel, from pipeline generation to expansion revenue, and proving it with data. You'll have a dedicated mandate within the Enterprise GTM org while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team. WHAT YOU'LL DO * Partner with RevOps and Sales leadership to define success metrics, surface growth opportunities across the enterprise bow-tie funnel, and shape GTM strategy with evidence — proactively raising the questions stakeholders haven't thought to ask. * Build and refine the models that steer the business — customer segmentation for territory and capacity planning, lead and account scoring for pipeline quality, and forecasting for pipeline and revenue. * Make our data trustworthy for agentic analytics — enrich context and metadata, and use AI coding tools to ship instrumentation and data-quality fixes directly so both people and AI tools can rely on it. * Own the analytical backbone of how the enterprise business is steered — KPI and metric definitions aligned across Sales, Marketing, and Finance, and the monthly, quarterly, and annual performance forums, owning the narrative, not just the slides. * Close data gaps and build scalable, self-serve measurement infrastructure so GTM teams can monitor long-term performance without you in the loop. * Uphold rigor as self-serve expands — push back on false precision in pipeline and forecast numbers, set the bar for what good analysis looks like, and resist sophistication, statistical or AI, where a simpler approach serves the decision better. WHAT YOU'LL BRING * Senior-level influence. You've driven real business impact by shaping decisions at the leadership level and moving revenue outcomes. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * PLG/SaaS fluency. Hands-on experience in product-led and SaaS businesses, with a solid grasp of subscription economics and the metrics that drive them. MUSIC TO OUR EARS * Experience across the B2B GTM funnel — Sales, Marketing, and RevOps — with funnel, segmentation, and forecasting analytics. * Data modelling know-how and experience with semantic layers. * A track record of defining metrics and steering frameworks for enterprise or 0→1 commercial motions. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era, combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.

At Voyado, we’re building the intelligence layer that powers analytics, insights, and AI-driven experiences for retailers across Europe. We’re now looking for an Engineering Manager to lead Team Intelligence — a growing team of Analytics Engineers and Data Analysts responsible for analytics products, reporting capabilities, and the data foundations that enable trusted decision-making across our platform. This is a unique opportunity to combine people leadership with technical influence. Your primary mission will be to help the team grow and succeed, while also contributing to the technical direction of our analytics platform together with architects and senior engineers. You’ll work closely with Area Lead Robin Bodin, an experienced engineering leader, who will support you in both your leadership journey and the continued development of Team Intelligence. Whether you’re already an Engineering Manager or a Tech Lead ready to take your first step into formal people leadership, we’d love to hear from you. ABOUT THE ROLE As Engineering Manager for Team Intelligence, you’ll lead a team working at the intersection of analytics, data and AI. You’ll be responsible for creating an environment where people can do their best work, ensuring sustainable delivery, and helping the team develop both their capabilities and ways of working. At the same time, you’ll stay close to the technology, supporting technical discussions and helping guide decisions around data products, analytics platforms, and modern data architecture. IN THIS ROLE, YOU WILL: * Lead, coach, and support Analytics Engineers and Data Analysts through regular 1:1s, feedback, and development conversations. * Create clarity around priorities, ownership and team ways of working. * Partner with architects and area leads to help shape technical direction and long-term improvements. * Support technical decision-making and help balance short-term delivery with long-term sustainability. * Foster a collaborative, inclusive, and high-performing engineering culture. * Collaborate closely with stakeholders across the org. WHO YOU ARE We’re looking for someone with a strong technical foundation and a genuine passion for helping teams succeed. As a leader, you’re someone who builds trust, encourages ownership, and creates an environment where people can do their best work. You’re curious, collaborative, and comfortable balancing long-term improvements with the realities of day-to-day delivery. Also someone who is comfortable navigating technical discussions and contributing to decisions around data products, analytics platforms, and modern data architecture. While this is first and foremost a leadership role, we believe great leadership in this environment comes from understanding the challenges your team faces and being able to provide both support and technical guidance when needed. We also believe you have: * A strong technical background within Analytics Engineering, Data Engineering or Data Analytics. * Experience leading people formally or informally as an Engineering Manager, Tech Lead, Team Lead, or similar. * An interest in coaching, mentoring, and helping others develop. * The ability to contribute to discussions around data modelling, analytics engineering, semantic layers, data products, and modern data architectures. * Strong collaboration and stakeholder management skills. * dbt, Databricks, Spark SQL, or similar technologies. * BI and analytics platforms. * AI, ML, or data product environments. HIGH IMPACT. GREAT PEOPLE. REAL GROWTH. You’ll join a company with strong momentum, modern technology, and a collaborative culture where ideas and initiatives are encouraged. At Voyado, we care about creating an environment where people can grow, collaborate, and enjoy the journey together. We move quickly, challenge ideas, and work closely across teams to deliver meaningful impact. Some of our benefits: * 30 days of vacation * Wellness allowance * Personal development opportunities * Summits and team activities * Four days from the office and one day from home ABOUT VOYADO Voyado is the Agentic Customer Experience Suite for retail. More than 500 retail brands across 100 markets use Voyado to unite CRM, loyalty, product discovery, e-commerce personalization, and retail media with retail-trained AI that acts on real-time shopper intent. By combining customer data with product intelligence, Voyado helps retailers deliver more relevant experiences across every channel — online and in-store. The result is more traffic, higher conversions, stronger customer relationships, and measurable business impact. We’re growing across Europe and are looking for people who want to help shape the future of retail technology. READY TO MAKE AN IMPACT? Fantastic! 🎉 A quick note about our recruitment timeline: As many of us will be taking some well-deserved summer vacation, this process will move a bit slower than usual. We’d still love to hear from you as soon as possible! Thank you for your understanding, and we hope you’ll apply! 🌞 ADDITIONAL INFORMATION As part of our recruitment process, we conduct a background check on the final candidate. MAKING IT PERSONAL WITH AI We believe you’ll position yourself best for success in the interview process by being yourself, with support from AI where it makes sense. Later in the process, you may even be expected to use AI. At the end of the day, what matters is meeting you — the person behind the application. There is no such thing as a perfect candidate; we’re all human, so please bring your authentic self. Don’t let AI over-polish your CV or answers to the point where we can’t hear your real voice, because that’s what we care about most.