Sökresultat för "Data Modeling"

Om företaget Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och affärsstöd – och oavsett uppdrag har du en konsultchef som finns där för dig och din utveckling. Om rollen Du kliver in i en verksamhet där data är en central del av den digitala utvecklingen inom flygplatsnära processer. Teamet ansvarar för en data- och analysplattform som samlar information från viktiga verksamhetssystem och omsätter den till rapporter, insikter och bättre beslut. Just nu pågår en förflyttning där data och rapporter migreras till en ny plattform baserad på Azure Databricks i kombination med dbt. Samtidigt behöver befintliga lösningar i äldre miljöer förvaltas och vidareutvecklas. Rollen passar dig som trivs med att röra dig mellan modern dataplattform, klassisk BI och nära dialog med verksamheten. Det här är en spännande möjlighet för dig som vill skapa konkret affärsvärde i en tekniskt varierad och komplex miljö. ArbetsuppgifterDu utvecklar och underhåller rapporter och dashboards i Power BI utifrån verksamhetens behov. Du bygger nya datalösningar i Azure Databricks med dbt, från datakontrakt och utveckling till automatiserade tester och leverans. Du förvaltar och vidareutvecklar befintliga lösningar i både den nya plattformen och äldre miljöer som SQL Server on-premises och Azure SQL. Du driver ditt arbete framåt i ett agilt team och bidrar i planering, estimering och dialog med verksamheten. Du är med och formar robusta, skalbara och långsiktigt hållbara lösningar med fokus på både teknik och nytta. Du delar kunskap inom teamet och bidrar till ett arbetssätt där struktur, kvalitet och samarbete står i centrum. KravMinst 5 års erfarenhet som Analytics-, BI- eller Data Engineer inom Business Intelligence Dokumenterad erfarenhet av utveckling i Power BI Dokumenterad erfarenhet av utveckling i Azure Databricks Dokumenterad erfarenhet av SQL Server och Azure SQL Dokumenterad erfarenhet av CI/CD i Azure DevOps, GitHub Actions eller motsvarande Dokumenterad erfarenhet av dimensionell datamodellering enligt Kimball eller Inmon Flytande svenska och engelska i tal och skrift Möjlighet att genomgå och godkännas i en säkerhetsprövning (kräver svenskt medborgarskap, dubbla medborgarskap medges ej) Möjlighet att genomföra drogtest MeriterandeErfarenhet av Medallion Architecture (bronze, silver, gold) eller motsvarande Erfarenhet av dbt Erfarenhet av Python Erfarenhet av arbete med on-prem servrar Erfarenhet av automatiserade tester och datakvalitetskontroller Erfarenhet av DevOps-principer Vi erbjuderFast anställning hos Avaron AB Tjänstepension Friskvårdsbidrag på 5 000 kr per år Ansökan Vi tillsätter löpande – sök gärna så snart du kan.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Assignment Description We are looking for an experienced Information Modeler / Information Architect What You Will Work On Develop, document, and maintain logical and physical information models across multiple business areas. Analyze source systems and map data structures to enterprise target models. Harmonize information models across business domains and applications. Define and maintain data dictionaries, metadata, and business terminology. Support enterprise data governance and information management initiatives. Facilitate workshops with business stakeholders and technical teams. Ensure compliance with information modeling standards, architecture principles, and governance guidelines. Collaborate with information architects, requirements managers, and business experts to translate business requirements into structured information models. Produce documentation and present information models to enterprise architects and business stakeholders. Contribute to improving enterprise information quality, consistency, and reusability. What You Bring University degree in Information Technology, Computer Science, Systems Science, or a related field. Minimum 6 years of experience in information modeling. At least 4 years of experience as an Information Architect in large enterprise organizations. Strong knowledge of: Information Architecture Information Modeling Data Modeling (Logical & Physical) Data Governance Metadata Management Enterprise Architecture principles Experience analyzing source systems and enterprise data structures. Experience balancing quality, scope, and delivery timelines. Experience working within Banking, Insurance, or another regulated industry (minimum 3 years). Fluent in Swedish and English.

The Opportunity As the Data Platform Architect within our BST GI Analytics & Data Platform organization, you will be the chief architect behind the future of Hitachi Energy’s Grid Integration (GI) data landscape. ​In this strategic role, you will design, scale, and govern the unified data platform that fuels our advanced analytics, business intelligence, and digital transformation initiatives. You will work hand-in-hand with the Team Manager for Analytics & BI to translate complex business demands into robust, modern data infrastructure. This role requires a balance of high-level technical vision and rigorous discipline, ensuring our platform is scalable, high-performing, and tightly aligned with internal corporate frameworks and global data regulations. ​How You’ll Make an Impact Design the Data Architecture: Define the blueprint for our data platform, establishing scalable, resilient, and reusable data flow architectures that span from backend data warehouse storage to frontend analytical layers. ​Bridge Strategy & Technology: Partner closely with the Team Manager and business stakeholders to understand emerging data needs and design the infrastructure required to support them. ​Enforce Data Governance & Quality: Architect robust frameworks for Master Data management, data validation, and interface integrity, ensuring our data assets are clean, reliable, and accessible. ​Drive Process & Regulatory Compliance: Ensure the data platform’s architecture fully complies with internal PPS (Project Power System) project guidelines, ITIL frameworks, and global data security and privacy regulations. ​Lead Technical Innovation: Keep a pulse on the evolving analytics landscape, introducing modern architectural best practices that optimize platform performance while managing technical debt. ​Your Background Data Architecture Expertise: Proven track record as a Data Architect, Cloud Architect, or Principal Data Engineer, with deep experience designing enterprise-scale data platforms and data warehouse environments, familiarity with Azure cloud services, Microsoft Fabric, and Databricks ​Pipeline & Interface Mastery: Strong expertise in data modeling, reusable data flow pipelines, ETL/ELT integration patterns, and managing complex interfaces across disparate data silos. ​Governance & Master Data Focus: Solid experience implementing Master Data management principles, data quality frameworks, and robust data security protocols in a regulated environment. ​Process & Framework Discipline: Practical understanding of structured project environments like PPS (or equivalent gate-model frameworks) and ITIL service operations. ​Collaborative Communicator: Ability to articulate complex architectural concepts clearly to both technical engineering teams and business leadership, ensuring strategic alignment across the board. What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! Recruiting Manager Jimmy Cavanagh will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Philip Bengtsson, +46 107-38 25 17; Unionen: Michael Fosselius, +46 107-38 46 19; Ledarna: Frank Hollstedt, +46 107-38 70 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com

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.

Do you want to be part of one of Sweden's fastest-growing start-ups? Antrino Labs is a vision infrastructure company. We build AI architectures that let cameras understand actions, behavior, and context across time — moving video beyond surveillance into real-time, programmable sensing. Instead of cameras just recording video in the background, they can now perform tasks in real-time: detecting theft, identifying security risks, analyzing flows in stores and industries, and enabling organizations to act immediately when something happens. Video goes from being something reviewed in retrospect to becoming active, real-time decision support. This means that millions of existing cameras, which previously only functioned as passive sensors, can suddenly start working actively for businesses – from retail and logistics to security companies and public environments. Everything is built on a foundation of Privacy by Design, where data protection and GDPR compliance are central parts of the architecture. The goal is to make advanced video analysis both powerful, scalable, and responsible in how data is handled. We just closed our Seed Investment Round which was announced together with Dagens Industri and are scaling up to meet demand. Also, the company is certified through Institution för Strategiska Produkter which makes the company a strategic asset for the Kingdom. Purpose and Goal We are looking for exceptional Fullstack Engineers who want to be part of our journey in automating detection. In this role, you will work across both frontend and backend systems, building the core product experience that allows users to connect cameras, deploy intelligence, and interact with real-time insights from video streams. The role is broad and hands-on, where you will work closely with our engineering team and leadership to develop a scalable, high-performance platform that can support thousands of live video streams and global deployments. You will help shape both the user-facing interfaces and the underlying backend systems, ensuring the platform remains intuitive, fast, and reliable as we expand. Your main areas of responsibility will include: Designing, developing, and maintaining both frontend and backend components of our platform Building user-facing features and interfaces that allow customers to interact with video streams, analytics, and system insights Developing and maintaining scalable backend services and APIs that power the platform Collaborating closely with designers and engineers to create intuitive, high-performance product experiences Ensuring the platform remains fast, reliable, and responsive as the number of users, cameras, and data streams grows Writing clean, maintainable, and well-structured code while following modern development best practices Participating in system architecture discussions and helping design scalable solutions for complex problems Troubleshooting and resolving bugs, performance issues, and production incidents across the stack Collaborating with DevOps and AI engineers to integrate machine learning systems and real-time data pipelines into the product Continuously improving the developer experience, tooling, and internal workflows to accelerate development and product delivery Contributing to code reviews, technical discussions, and knowledge sharing within the engineering team Helping shape the technical direction of the platform as we scale globally and expand the product capabilities Who are we looking for? Strong experience as a Full Stack Engineer, preferably working on complex, production-grade applications Solid experience building modern web applications, including both frontend and backend systems Proficiency with JavaScript/TypeScript and modern frameworks such as React, Next.js, or similar Experience designing and building scalable backend services and APIs Familiarity with databases and data modeling (e.g., PostgreSQL or similar) Experience working with cloud platforms such as AWS, Azure is a plus Understanding of system performance, scalability, and distributed architectures Experience integrating real-time data systems, streaming architectures, or AI-powered services is a strong advantage Strong problem-solving skills and the ability to build reliable, maintainable systems Excellent communication skills in English, both written and spoken; Swedish is a plus Personal qualities We believe you are a team player with a strong work ethic, who thrives in a fast-paced environment where you build something from the ground up together. You have a positive attitude towards problem-solving and always deliver high quality in your accounting work, while being curious about how processes can be improved and streamlined. You enjoy solving problems and see opportunities where others see obstacles. In a rapidly growing company, things often change – therefore, you thrive in an environment where initiative, responsibility, and structure are important qualities. You have the ability to work independently, prioritize correctly, and manage several tasks or projects in parallel. With us, you will be part of a culture where we value intellectual curiosity, high pace, and collaboration between technology and business. We build advanced technology but believe in simple, clear ways of working and a team where everyone contributes to the whole. This means we are looking for people who not only want to do their job – but who also want to help build structures, improve processes, and participate in shaping how the company develops going forward. Form of employment: Full-time with an initial probationary period of 6 months Start date: Immediately Location: Stockholm City, Blaiseholmgatan 2A Recruitment Process Our recruitment process is simple and transparent. We review applications continuously and contact candidates we assess to be a good match for the role. The process usually consists of a first conversation where we get to know each other and go through your background and the role in more detail. This is followed by one or two in-depth conversations where we discuss experience, working methods, and how you could contribute to developing our finance function. In the final stage, we may also ask for references. Our goal is for the process to be efficient, clear, and respectful of your time, while ensuring that both you and we feel it is the right match. We look forward to your application!

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. What you'll do Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we're looking forMust have 4+ years of experience as a Data Engineer or similar role Strong SQL skills and a good understanding of modern data warehousing concepts Experience building data pipelines and working with orchestration tools such as Airflow or similar Hands-on experience with dbt and modern data transformation practices Experience with Python for data engineering or automation Experience with Git and modern software engineering practices Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with software engineering practices such as automated testing, CI/CD, and code review workflows Experience with Snowflake or similar cloud data platforms Experience with Infrastructure as Code (Terraform or similar) Experience with AWS, GCP, or Azure Interest in data quality, observability, governance, or platform engineering Why join us? Build the platform that enables data and AI across Schibsted Media Work with modern technologies and experienced engineers across multiple teams Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted's premium media products, including news and podcasts About you You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands. In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams. You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products. You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey. What you will do Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working Help improve reliability, performance, cost-efficiency, and scalability of our data solutions Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we are looking forMust have 3+ years experience as a Data Engineer, Analytics Engineer, or similar role Strong SQL skills and good understanding of data warehousing concepts Experience building data pipelines or data models for analytics, reporting, or product use cases Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with Python or scripting for data engineering workflows Experience with Snowflake, dbt, Airflow, or similar tools Experience with CI/CD, version control, and engineering best practices Experience with cloud platforms such as AWS, GCP, or Azure Interest in data quality, observability, governance, or access control Experience working in a cross-functional or product-oriented environment Why join us? Opportunity to build trusted data products with real impact across Schibsted Media A role with ownership, learning opportunities, and support from experienced colleagues Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted’s media products, including premium news and podcasts About you You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value. You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful. When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content. If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer on our Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems. That means the feature pipelines, streaming event ingestion, training datasets, and real-time feature serving that power the retrieval, ranking, and contextual-bandit models deciding what hundreds of millions of users see. This is a hands-on platform role at the point where large-scale data engineering meets production machine learning. What you'll do: * Build and own the feature and training-data pipelines behind our retrieval, ranking, and contextual-bandit models, taking raw events all the way to model-ready features. * Design streaming pipelines that close the loop between serving and learning, capturing impressions, clicks, and conversions in near real time so models retrain on fresh signal. * Stand up and maintain a real-time feature store so features stay consistent between offline training and low-latency online inference. * Own the ad-event and attribution data backbone: clean, reconciled pipelines for delivery, billing, and third-party attribution partners. * Partner directly with data scientists to move models from notebook to production, owning the data contracts, freshness SLAs, and lineage they depend on. * Build reusable, config-driven frameworks so new models and campaigns onboard without bespoke pipeline work each time. * Keep the platform reliable at scale: billions of events daily within defined SLAs, backed by monitoring, data-quality checks, and dependable backfills. * Set best practices and processes around pipeline design, testing, and data modeling across the team. What you bring in: * Strong programming skills in Python and Spark, with a track record of building complex, large-scale ETL/ELT pipelines. * Hands-on experience with an orchestration tool such as Airflow, feeding ML or analytics workloads in production. * Experience working with large datasets on a major cloud provider (GCP preferred; AWS or Azure also fine). * Solid software engineering fundamentals: testing, CI/CD with Git and Jenkins or similar, and code you would be happy to maintain. * Comfort working shoulder to shoulder with data scientists and ML engineers, and a clear understanding of what production ML needs from data - features, freshness, consistency, and lineage. * Excellent problem-solving and communication skills, and the self-motivation to own problems end to end. It would be great if you also have: * Experience with streaming systems such as Kafka, Flink, or Spark Structured Streaming. * Experience with a feature store (Feast, Vertex AI, Tecton, or in-house). * Exposure to recommendation, ranking, or ads from ML systems and the data they rely on. * Knowledge of Kubernetes. * Experience managing a data warehouse in BigQuery (preferred) or Redshift. What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

JOIN THE DATA & AI JOURNEY AT SCHIBSTED MEDIA Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. ABOUT THE ROLE We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. WHAT YOU'LL DO * Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions * Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python * Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media * Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices * Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform * Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams * Develop maintainable data models that support analytics, reporting, and AI use cases * Contribute to good practices for data modeling, transformation, testing, documentation, and governance * Participate in code reviews, technical discussions, and continuous improvement of our ways of working * Contribute to a culture of ownership, learning, and collaboration WHAT WE'RE LOOKING FOR MUST HAVE * 4+ years of experience as a Data Engineer or similar role * Strong SQL skills and a good understanding of modern data warehousing concepts * Experience building data pipelines and working with orchestration tools such as Airflow or similar * Hands-on experience with dbt and modern data transformation practices * Experience with Python for data engineering or automation * Experience with Git and modern software engineering practices * Ability to take ownership of tasks and deliver maintainable solutions * Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. * Collaborative mindset and willingness to learn from and contribute to the team NICE TO HAVE * Experience with software engineering practices such as automated testing, CI/CD, and code review workflows * Experience with Snowflake or similar cloud data platforms * Experience with Infrastructure as Code (Terraform or similar) * Experience with AWS, GCP, or Azure * Interest in data quality, observability, governance, or platform engineering WHY JOIN US? * Build the platform that enables data and AI across Schibsted Media * Work with modern technologies and experienced engineers across multiple teams * Flexible working hours and hybrid work options with strong trust and autonomy * International environment with offices in Oslo, Stockholm, and Krakow * Strong learning culture with learning budget and active engineering & AI communities * Access to Schibsted's premium media products, including news and podcasts ABOUT YOU You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

What will you do? As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions. This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives. If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk. Areas of ownership: Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform Integrate data from a wide range of business and product systems Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools Develop robust monitoring, alerting, and observability practices to ensure platform reliability Troubleshoot, optimize, and continuously improve data workflows and platform performance Design and implement scalable ELT workflows using modern data engineering practices Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting Implement automated testing and quality controls throughout the data lifecycle Ensure data is accurate, accessible, and trusted across the organization Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions Help translate complex business challenges into scalable data products and datasets Support decision-making by making data easier to discover, understand, and use Evaluate emerging technologies, frameworks, and industry best practices Run proof-of-concepts and contribute to strategic technology decisions Help define the future architecture of Rebtel's data platform Continuously improve engineering standards, tooling, and developer experience Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 3+ years of experience in Data Engineering or a similar role Strong SQL skills and experience building production-grade data pipelines Experience with modern ELT methodologies and data warehousing concepts Experience integrating data from multiple systems and sources Experience with dbt, Python, AWS, or similar cloud-based data platforms Strong understanding of data modeling and analytics engineering best practices Ability to operate independently and take ownership of technical solutions Experience working in fast-growing technology or digital product companies is a plus It's a bonus if you've been exposured to customer analytics, marketing analytics, experimentation, or machine learning workflows Experience with BI tools such as Looker, Tableau, or Power BI is a plus It's a plus with a degree in Computer Science, Engineering, Mathematics, or a related field Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! THE CHALLENGE: SCALING DATA FOR THE FUTURE Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: * Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. * Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. * Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. ARE YOU + BANNERFLOW = TRUE? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact or product vision, customers, and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like board game nights, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. YOUR MISSION * Design and build scalable data pipelines for analytics and AI-driven features. * Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. * Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. * Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. * Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. SO, WHAT ARE WE LOOKING FOR? * 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. * Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). * Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). * Experience working with workflow orchestration platforms such as Prefect, Dagster, or Airflow, including designing, implementing, and operating data workflows in production environments. * Experience with PostgreSQL, including data modeling, query optimization, and building reliable data movement patterns between operational and analytical systems. * Experience with designing scalable architectures and pipelines that support large datasets efficiently. * Passion for AI/ML-driven data features and enabling advanced analytics. * Problem-solver mindset, you love optimizing performance and building robust systems. * Curiosity & ownership – you thrive in an environment where you can experiment and improve. NOT SURE IF YOU CHECK ALL THE BOXES? APPLY ANYWAY! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech! A quick summer note 🌞 Please apply as usual, we'd still love to hear from you! Many of us are taking time off right now, so applications will only be reviewed sporadically until we're back to our usual pace in August. Thanks for your patience.

In this role, you will work with our customers on various data engineering projects. This role is perfect for those with a good foundation in data engineering, and a passion for operational excellence in data management and analytics. You will design, build, and maintain efficient, scalable data pipelines and work closely with data scientists, analysts, and stakeholders to deliver customized data solutions that drive impactful business decisions. Develop and manage scalable data pipelines, ensuring efficient and reliable data flows. Implement processes and solutions to improve data quality, accuracy, and consistency. Create scripts and tools to automate repetitive tasks, improving efficiency and reducing manual work. Build and maintain data integrations, including file, messaging, and API-based systems. Develop data models tailored to meet business requirements. Contribute to implementing infrastructure as code solutions. Collaborate with data scientists, architects, and software developers to support the creation of data architecture and governance models. Enhance the performance of existing data pipelines, optimizing queries and indexing for faster data retrieval. Implement security measures to protect data from unauthorized access. Ensure compliance with data governance policies and regulatory requirements, maintaining documentation and data lineage. Monitor cost efficiency and identify areas for optimization. You are passionate about building data products and enabling data-driven decisions. You enjoy sharing knowledge and learning new things in the data, analytics & AI area. You want to develop and maintain robust, scalable data and analytics systems. You have the ability to work both independently and collaboratively within a team environment. Fluent in English both written and verbal. You are eager to learn and have a basic understanding of working with data sets You are gaining experience with ETL workflows and excited to improve your skills in streamlining these processes. You have a foundational knowledge of big data concepts, cloud technologies, and data modeling. Your skills in SQL and Python are strong, with a focus on writing efficient queries. You are gaining hands-on experience with cloud platforms like AWS, Azure, or Google Cloud and are keen to expand your knowledge.

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: Design and build backend services in Go for distributed, cloud-native applications. Build frontend applications that connect users to data, workflows and AI-powered capabilities. Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: Design application-level data models and database schemas. Make informed trade-offs between storage approaches. Understand query patterns and performance implications. Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. Design services that enable AI agents to act safely with business data. Collaborate with ML and data engineers to operationalize AI in real products — not demos. Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: Write clean, maintainable, production-quality code across backend and frontend. Participate in code reviews and architectural discussions. Build automated tests and CI/CD pipelines. Take responsibility for production reliability and incident resolution. Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: Strong experience as a Senior Full-Stack Software Engineer building production systems. Proven experience with Go (Golang) in backend environments. Solid understanding of distributed systems and modern architectures. Experience building frontend applications. Experience with database design and application data modeling. Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. Ownership mindset and ability to balance speed and quality. Excellent communication skills and collaborative attitude. Nice to Have Experience with A/B testing or experimentation frameworks. Familiarity with event-driven architectures and streaming systems. Experience with AWS and cloud-native architectures. Experience building AI-powered or agentic applications. Exposure to high-scale e-commerce, logistics or data-heavy environments. Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? A stable, future-focused company with a meaningful mission to improve healthcare accessibility. Work on AI, ML and automation projects that impact millions of customers. Work with modern cloud-native, automated and event-driven systems. Join a flat, agile organization with minimal bureaucracy. Grow through training, mentorship and industry conferences. Collaborate in a transparent, cross-functional environment. Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process Apply Interview: Screening Interview: Technical Capabilities Interview: Culture Fit Background Check: As a pharmacy, we always conduct a background check. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: Design and build backend services in Go for distributed, cloud-native applications. Build frontend applications that connect users to data, workflows and AI-powered capabilities. Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: Design application-level data models and database schemas. Make informed trade-offs between storage approaches. Understand query patterns and performance implications. Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. Design services that enable AI agents to act safely with business data. Collaborate with ML and data engineers to operationalize AI in real products — not demos. Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: Write clean, maintainable, production-quality code across backend and frontend. Participate in code reviews and architectural discussions. Build automated tests and CI/CD pipelines. Take responsibility for production reliability and incident resolution. Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: Strong experience as a Senior Full-Stack Software Engineer building production systems. Proven experience with Go (Golang) in backend environments. Solid understanding of distributed systems and modern architectures. Experience building frontend applications. Experience with database design and application data modeling. Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. Ownership mindset and ability to balance speed and quality. Excellent communication skills and collaborative attitude. Nice to Have Experience with A/B testing or experimentation frameworks. Familiarity with event-driven architectures and streaming systems. Experience with AWS and cloud-native architectures. Experience building AI-powered or agentic applications. Exposure to high-scale e-commerce, logistics or data-heavy environments. Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? A stable, future-focused company with a meaningful mission to improve healthcare accessibility. Work on AI, ML and automation projects that impact millions of customers. Work with modern cloud-native, automated and event-driven systems. Join a flat, agile organization with minimal bureaucracy. Grow through training, mentorship and industry conferences. Collaborate in a transparent, cross-functional environment. Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process Apply Interview: Screening Interview: Technical Capabilities Interview: Culture Fit Background Check: As a pharmacy, we always conduct a background check. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!

Join the Mission At Kaisa, we are transforming life’s most important purchases—like buying a car or a home—into exceptional customer journeys. We believe the future of engagement is driven by AI, but AI is only as powerful as the data it learns from. We are looking for a Senior Data Engineer to lead the charge in building the scalable, high-velocity infrastructure that turns millions of interactions into the fuel for our conversational intelligence products. The Role This is a pivotal position where data infrastructure meets cutting-edge product strategy. As a Senior Data Engineer, you will take full ownership of our data platform, leading the design of pipelines that don’t just power dashboards, but serve as the foundation for autonomous agents and real-time automation. You will be a high-impact architect, mentor, and strategist. What You’ll Do Architect Scalable Pipelines: Design and build robust ETL/ELT pipelines using Python and AWS services to handle high-velocity data. Evolve Data Infrastructure: Drive the evolution of our data architecture, ensuring it scales from today’s needs to the future demands of AI/ML. Collaborate Cross-Functionally: Work closely with Engineering, Product and Business teams to translate high-level strategy into technical roadmaps. Ensure Data Excellence: Define and drive data quality frameworks, automated testing, and validation processes to ensure our "fuel" is always high-grade. Lead Governance & Security: Implement best practices for data modeling, warehousing, and privacy regulations (GDPR) to safeguard sensitive information. Mentor and Influence: Shape team best practices and mentor other engineers, fostering a culture of technical excellence. Who You Are An Established Engineer: You have solid experience building scalable data systems and a deep understanding of data warehousing and governance. Technically Proficient: Hands-on expertise with Spark, Python and AWS (EMR, Redshift, Glue). A "Problem Solver": You enjoy turning messy, raw data into clean, actionable systems and have experience with streaming technologies (Kafka, Kinesis). A Natural Leader: You are confident in technical conversations, able to share context across tech and non-tech audiences, and driven to own your projects. Bonus points if you have: Experience with Infrastructure as Code (Terraform, Kubernetes). A background in data-driven product experimentation or analytics. Experience contributing directly to organizational data strategy. Where You’ll Be Our roots are in Sweden, but our reach is international. This role is based in our Uppsala office, working in a hybrid capacity. We embrace flexible "business hours" because we know that life doesn't always fit into a 9-to-5 box. Kaisa Culture What makes Kaisa a unique place to build a career? Our values aren't just posters on the wall; they guide our daily decisions: Innovate with Agility – We move fast, think creatively, and adapt seamlessly. Win Together – Success is a team effort, and we celebrate it as one. Own It – Accountability drives progress, and we take pride in our work. Champion Sustainability and Diversity – We foster inclusivity and make responsible choices. Spread the Vibe – A positive atmosphere fuels great ideas and connections. About Kaisa Since our inception in Uppsala, Sweden, we have grown to include offices in London and Paris. At Kaisa, we understand that our greatest asset is our talented and diverse team. We believe in creating an environment that fosters personal growth, professional development, and overall well-being. Founded in 2009.

PostNord is making a significant investment in strengthening its sustainability and ESG reporting capabilities towards customers as part of our data‑driven transformation. To support this journey, we are building a new ESG data foundation – and we are looking for an ESG Data Engineer to help define and build it. This is a key role in a new setup, where you will contribute to establishing trusted, scalable and auditable ESG data pipelines that sustainability reporting across the Group will rely on. You will help turn ESG reporting requirements into reliable data solutions from the ground up. The role sits within the Analytics Center of Excellence, responsible for shaping the future data and analytics landscape at PostNord. You will work with our Azure‑based data platform and collaborate closely with sustainability specialists. This position is ideal for someone who wants to take real responsibility, build something fundamental and apply strong technical skills in a purpose‑driven domain. Your role As a Data Engineer working with Sustainability & ESG, you will design and maintain data models and pipelines that support: Regulatory and statutory sustainability reporting (e.g. CSRD) Internal sustainability KPIs and performance management Management and operational insights related to climate impact, energy, transport, suppliers, and social responsibility You will work closely with sustainability experts, business stakeholders, Power BI developers, and the central data platform team to ensure data quality, traceability, and scalability. Job duties Enable a self-service data architecture that provides trusted sustainability and ESG data across the organization Design, develop, and deploy fact- and dimension-based data models to support sustainability reporting and analytics Build and maintain ETL/ELT pipelines integrating data from multiple operational, finance, and external sources Collaborate with sustainability, finance, and compliance stakeholders to translate reporting requirements into robust data solutions Ensure data quality, lineage, and transparency, supporting auditability and regulatory needs Collaborate with the Data Platform team to align on architecture standards and best practices Work with modern Azure-based data platforms, contributing to scalable and secure solutions Strong analytical skills and the ability to apply complex business and sustainability logic to raw data Data modeling and data warehousing Database design and ETL/ELT development Performance tuning and scalable data solutions Experience or strong interest in sustainability, ESG, or regulatory reporting domains Good understanding of front-end analytics and reporting tools (e.g. Power BI) Experience in requirement analysis, prototyping, and stakeholder collaboration A collaborative mindset and ability to work closely with business, sustainability specialists, and technical teams Preferably hands-on experience with: Databricks, Azure DevOps, Git, (Py)Spark, Python, CI/CD pipelines, Azure Data Platform, Medallion architecture. Ways of working You will work in an agile environment, applying a pragmatic SAFe-inspired approach adapted to team and product needs. As a Data Engineer at PostNord, you will remain hands-on, while also collaborating closely with Power BI developers, sustainability specialists, product owners, and domain teams to ensure solutions meet business and regulatory expectations. Your profile You have several years of experience as a Data Engineer or BI/Data Engineer in a data-intensive environment. You understand how to design enterprise-grade, reliable, and auditable data models, and you enjoy working close to the business. You are curious, eager to learn, and motivated by using data and technology to support sustainability, transparency, and responsible business practices. We offer you A flexible hybrid workplace in a prestige-free and collaborative culture Opportunities for professional and personal development A Nordic working environment with strong values In addition, we offer: Good insurance and occupational pension conditions Wellness allowance & access to office gym and swimming pool Employee benefits through PostNord’s employee foundation Employment according to a collective agreement We make everyday life easier – and more sustainable PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordics. We value accountability, courage, and commitment, and we believe diversity and teamwork lead to better outcomes. Apply We look forward to receiving your application! For questions about the role, please contact: Pernille Skovborg – Manager of Analytics Center of Excellence at pernille.skovborg@postnord.com. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.