Sökresultat för "Data Architecture"

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.

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

REQ# FEQ427R66 Solutions Architect – Data & AI (Presales)  At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions. WHAT YOU’LL DO * Partner with Account Executives to drive technical sales cycles and customer outcomes * Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders * Build and deliver proof-of-concepts, demos, and solution prototypes using real data * Translate business requirements into practical, scalable data and AI solutions * Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end * Work through technical challenges with customers, iterating and resolving issues as they arise * Contribute reusable assets, patterns, and best practices that accelerate adoption across customers WHAT WE’RE LOOKING FOR CUSTOMER-FACING MINDSET * Experience working with customers in a presales, consulting, or advisory capacity * Ability to communicate complex topics to both technical and non-technical audiences * Comfortable leading discussions that connect business goals to technical decisions HANDS-ON TECHNICAL FOUNDATION * Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets * Understanding of data pipelines and modern data architectures * Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting) * Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected DATA & AI UNDERSTANDING * Familiarity with analytics, data science, or machine learning workflows * Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference) * Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems ARCHITECTURE & PLATFORM UNDERSTANDING * Familiarity with cloud platforms and data technologies * Ability to design solutions that consider scalability, performance, reliability, and data volumes * Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints WHAT MAKES YOU SUCCESSFUL IN THIS ROLE * You are comfortable switching between business dialogue and technical execution * You don’t just describe solutions — you can build, validate, and iterate on them in practice * You take ownership of technical challenges and push problems forward, even when things are not working as expected * You apply structured thinking in discovery and can connect requirements to scalable technical solutions * You understand that AI solutions depend on solid data foundations * You are curious and continuously deepen your technical expertise About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

At Toyota Material Handling Europe, we create technology that keeps the world moving. Diverse businesses across Europe depend on our logistics and material handling solutions. By pioneering technology like automation, connectivity and productivity solutions, we enable our customers' logistics operations to be as efficient as possible. We firmly believe in setting ideas in motion. At Toyota Material Handling Europe, we are over 13,500 colleagues passionate about supporting companies of all sizes with todays and tomorrow's material handling challenges. Because we know that our business and our industry are essential and sometimes even critical for them, for daily life and society at large. In our respective headquarters in Mjölby, Sweden, Willebroek, Belgium, in our Sales companies across Europe, or in our factories in France, Italy and Sweden, you can be part of an extraordinary journey. And together, we will Move the world towards easy and sustainable. The Position We are strengthening our Enterprise Architecture (EA) team with a strategic architect who will play a key role in shaping the AI and Data landscape across Toyota Material Handling Europe (TMHE). You will contribute to the full Enterprise Architecture model while focusing on direction, principles and guardrails that support scalable, harmonised and business-aligned development. This is a strategic EA role. You will not implement data pipelines or AI models, instead, you will drive alignment, support architectural and investment decisions, and guide the AI program, the Data team, Solution Architecture and business stakeholders by providing structure, direction and decision support. You will work in close collaboration with established AI, Data and Security capabilities, meaning you will not be expected to be the deepest expert in every area, but rather someone who can connect perspectives and shape a coherent architecture. In this role, you report to the Head of Enterprise Architecture. Your Responsibilities Contribute to and shape enterprise-level AI and Data architecture principles, target states and reference patterns. Drive direction for Information and Data architecture, including data domains, information structure, interoperability and ownership models. Ensure alignment between business needs, AI initiatives, data platforms and the EA model. Translate business and transformation into architectural guidance and support decision-making in relevant governance and investment forums. Collaborate with the AI program, Data team, Solution Architects, CISO and Legal to support scalable, secure and compliant solutions. Contribute to architecture governance and reviews from an AI and data perspective. Support business areas in exploring and scaling data-driven and AI-enabled capabilities. Help strengthen architectural understanding and ways of working across TMHE. Your Profile We believe mindset and attitude make all the difference. If you are structured, communicative and proactive, you will thrive here. The following qualities would make you a strong fit: Broad experience in Enterprise Architecture or related strategic architecture roles. Good understanding of data-driven architecture and an interest in AI and emerging capabilities. Ability to see the holistic picture and understand how processes, data, applications and platforms interact to create business value. Experience engaging with business stakeholders, facilitating structured dialogue and translating needs into architectural guidance. Comfortable working in a data-driven environment where new capabilities - such as AI - increasingly influence business processes and architectural direction. Good communication skills, with the ability to explain complex topics in a clear and pragmatic way. Curious, collaborative and confident taking the lead when needed. Interest and ability to teach, guide and build architectural maturity in the organisation. Enjoy working in a team and being part of our journey towards a modern and sustainable IT landscape. Fluent in spoken and written English. Relevant education. Our Offer At Toyota Material Handling Europe, we don't just offer jobs-we offer careers with purpose. In our dynamic, diverse, and international environment, we offer a workplace where you can truly thrive and bring your ideas to life. You will have the opportunity to work with AI and data at a strategic level in a European organisation. We're committed to supporting you with an attractive benefits package, including a yearly bonus and flexible work arrangements that allow you to balance your personal and professional life. With clear goals and direction from senior leadership, you'll also find abundant opportunities for career growth and development within the company. Our organisational support ensures that you can maintain a healthy work-life balance while pursuing meaningful work that shapes the future of our industry. We believe learning never stops. Whether you're developing new skills or leading ground-breaking projects, this is a place where continuous growth is celebrated. Collaboration is at the heart of everything we do, and we take pride in fostering a supportive, open environment where every voice is heard. Send your application, CV, and Cover letter in English, no later than 17th of August 2026. For more information regarding the recruitment process, please contact: Patrik Schultzén, Talent Acquisition Specialist, Patrik.schultzen@toyota-industries.eu Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

SENIOR DATA ENGINEER  WHO WE ARE Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job Summary We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.  Key Responsibilities * Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. * Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. * Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. * Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. * Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables. * Develop and enforce best practices in data governance, security, and compliance within the organisation. * Optimise data retrieval and develop dashboards and reports for business teams. * Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.   Qualifications * Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. * 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. * Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. * Demonstrated experience with Infrastructure as Code tooling such as Terraform * Solid understanding of CI/CD principles and DevOps/DevSecOps practices. * Proven leadership skills and experience managing data engineering teams. * Excellent problem-solving skills and the ability to work with ambiguity. * Proficient in leveraging AI-assisted workflows to optimise task efficiency. * Strong communication and interpersonal skills. * Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: * Certifications in Azure, AWS, or GCP. * Certifications in Databricks, Snowflake or similar technologies. * Experience in the leading large scale data engineering projects. Working Conditions * Hybrid work arrangement: two-three days per week working from the office

WHO WE ARE * Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. * Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. * Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. WHAT YOU WILL BE DOING As a Junior Software Engineer in our London office, your role will encompass: * working on engineering projects together with senior team members * training and certification to enhance your skills in software engineering, data science, and data architecture. QUALIFICATIONS NECESSARY EDUCATION AND EXPERIENCE * Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. * Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms. * Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code. * Data Skills: Experience with SQL for querying relational databases. * Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps. * Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. * Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. DESIRABLE EXPERIENCE * Cloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). * Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. * Advanced Education: A Master's degree or PhD in a relevant field is a strong plus. Hybrid working pattern

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.

Mpya Sci & Tech was created by and for people who love technology and science. We’re not here to do what everyone else is doing. We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With extensive experience and deep industry knowledge, we’ve built a forward-leaning and cutting-edge company—our way. At Mpya Sci & Tech, we believe in a sustainable working life where we build a culture together based on genuine involvement, eager curiosity, and the freedom to be yourself. Learn more at: www.mpyascitech.com . Mpya Sci & Tech is a company built by and for engineers. We have created a workplace where you as an employee are always at the center. In everything we do, we strive for a high degree of involvement and responsiveness to our employees’ thoughts about their future work and career. Together we build a strong, allowing, inclusive and curious culture with great conditions for you as an employee. We want you to have an assignment where you feel passion, develop and have balance in life. We are now looking for a Senior Data Engineer to join our Data team in Gothenburg Do you have experience building robust data platforms and pipelines that truly make a difference? Then you might be exactly who we are looking for. As a Senior Data Engineer at Mpya Sci & Tech, you will work with some of Gothenburg’s most exciting tech companies and organizations. Since we collaborate with clients of different sizes, across different industries and application areas, your preferences and skills will help shape your future assignments. We offer a role where you get to use your technical expertise and problem-solving skills, while having the freedom to influence both your assignments and your direction. What you will do Design and implement scalable data architectures and ETL/ELT pipelines Build and orchestrate reliable data workflows using modern tools for cloud data platforms, streaming and real-time analytic Take an active part in data quality, governance and security – making data trustworthy and AI-ready Collaborate with data scientists, ML engineers, developers and other specialists to create value from data Depending on the assignment, contribute to machine learning and AI initiatives – from feature pipelines and MLOps to bringing models into production We believe you have Several years of experience as a Data Engineer or in a similar role Strong skills in Python, SQL and distributed data processing such as Spark/PySpark Solid experience with modern cloud platforms such as Azure, AWS or GCP, and platforms like Databricks, Snowflake or Microsoft Fabric Experience with orchestration and transformation tools such as Airflow or dbt, and an engineering mindset including CI/CD, testing and infrastructure as code Experience with containerization and deploying applications in Kubernetes Curiosity about – or hands-on experience in – Data Science, Machine Learning or Generative AI is a plus The ability to take the lead in technical decisions and a strong interest in staying up to date within the field A prestigeless attitude, great commitment and a willingness to contribute to a good team spirit Fluent English, spoken and written – Swedish is a plus Who we are At Mpya Sci & Tech, we believe in a sustainable working life where we together build a culture where you can: Be Dedicated Be Brave and Curious Be Inclusive and Allowing We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With deep industry knowledge and extensive experience, we have built a forward-leaning and innovative company – our way. Applixcation Does this sound like an opportunity for you? Apply today via www.mpyascitech.com, or no later than August 16. Warm welcome with your application!

​ Location: MalmöDepartment: AI Models & Alarm IntelligenceHiring Manager: Christian Falck The roleAs a Data Engineer within our team AI Models & Alarm Intelligence, you will play a key role in building the data infrastructure that powers Verisure’s next-generation of AI-driven products and services. You will join a growing AI team working with Computer Vision, Edge AI, Cloud AI, and connected devices, helping create the data foundations that enable our Machine Learning Engineers to train, deploy, monitor, and continuously improve AI solutions used across multiple countries. The role combines cloud infrastructure, data engineering, system design, and cross-functional collaboration. Success comes from balancing strategic thinking with hands-on implementation, while working closely with both your teammates and stakeholders across the wider organization. You will join a collaborative and highly skilled AI team where knowledge sharing, ownership, and continuous improvement are part of everyday work. What you will be up to Build and maintain data pipelines that support AI model training, evaluation, and deployment Work closely with AI Ops teams, developers, and stakeholders across multiple countries to enable scalable AI infrastructure Develop and improve cloud-based solutions for collecting, processing, and storing data from connected devices Maintain and evolve our data lake, training infrastructure, monitoring capabilities, and feedback loops from products in the field Collaborate with engineers across R&D to reduce complexity, improve reliability, and support future AI initiatives Help shape the long-term data architecture that will support the next generation of AI-powered products Good fit if you haveStrong Python skills and experience building production-grade data pipelines Hands-on experience working with AWS and cloud-native architecture Experience building and maintaining S3-based data platforms and modern data architecture Experience with containerized environments such as Docker Understanding of APIs, cloud services, and distributed systems Experience working closely with software engineers and other technical stakeholders Nice to have / technologies and areas we work with AI, Machine Learning, Computer Vision, or Data Products AWS services such as S3, SageMaker, IAM, and cloud networking Data Lakes and Medallion Architecture (Bronze, Silver, Gold) Snowflake and modern analytics platforms Docker, orchestration, and cloud deployment patterns IoT, Edge AI, and connected devices Should I apply? Strong fit if most of these resonate with you: Building scalable systems and infrastructure is something you genuinely enjoy Solving complex technical problems motivates you You proactively identify opportunities for improvement rather than waiting for instructions Working across teams and dependencies feels energizing rather than frustrating You enjoy balancing hands-on implementation with long-term architectural thinking AI, cloud platforms, and emerging technologies spark your curiosity FAQIs this primarily a Data Engineering role or an AI role?The primary focus is Data Engineering. You will work very closely with AI initiatives and Machine Learning Engineers, but your responsibility is to build and maintain the infrastructure and data foundations that enable AI development at scale. Will I be building new systems or maintaining existing ones?Both. You will help evolve our current infrastructure while also building new capabilities that support future AI products and services. Will I work with stakeholders outside the AI team?Yes. Collaboration is a significant part of the role. You will work with AI Ops, R&D teams, IT teams, and stakeholders across multiple countries and functions. What is the biggest challenge in this role?Balancing hands-on delivery with long-term architecture while navigating dependencies on multiple teams and platforms across the organization. Bottom line If you enjoy building modern cloud-based data platforms, working alongside talented AI engineers, and creating the foundations that enable AI products to scale globally, this is an opportunity to have a significant impact in one of Verisure’s most exciting and rapidly growing technology domains. About VerisureVerisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues. For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company’s track record of resilient, uninterrupted growth over the long term and highlights the strength of its recurring revenue model. Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm. Beginning October 8th, 2025, Verisure is listed in the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years. My team and I eagerly await your application! Join us on this journey towards a safer, smarter world. Apply today! If you have questions regarding this position, please reach out to our Group Senior TA Specialist, Robert Jonasson, at robert.jonasson@verisure.com Verisure is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries. Verisure - 35 years of delivering peace of mind.

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.

WHO WE ARE * Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. * Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. * Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. WHAT YOU WILL BE DOING As a Junior Software Engineer in our London office, your role will encompass: * working on engineering projects together with senior team members * training and certification to enhance your skills in software engineering, data science, and data architecture. QUALIFICATIONS NECESSARY EDUCATION AND EXPERIENCE * Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. * Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms. * Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code. * Data Skills: Experience with SQL for querying relational databases. * Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps. * Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. * Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. DESIRABLE EXPERIENCE * Cloud & MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). * Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. * Advanced Education: A Master's degree or PhD in a relevant field is a strong plus. Hybrid working pattern

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.

TL;DR → You own the data layer, ingestion, transformation, and modeling that makes analytics, reporting and AI possible. → Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross functional delivery teams alongside Platform, Analytics and GenAI Developers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a Data Engineer, you’ll be building the data platforms that everything else depends on. From raw source systems to production-ready models consumed by analysts, ML pipelines, and business users. You own the path data takes to become useful. The work is hands-on Python and SQL, heavy on PySpark, and grounded in Kimball modeling and lakehouse architecture. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You'll work in cross-functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack. A few examples of what this looks like in practice: Building a Kafka-based ingestion framework for a major insurance group, onboarding several thousand tables at scale so multiple downstream teams can actually use the data they need. Lifting an on-prem data warehouse into a cloud-based Databricks lakehouse for a Nordic logistics company, standing up CI/CD, integration, modeling, and quality assurance, then scaling for new use cases. Auditing a manufacturing company's data platform against best practices, delivering a migration plan, then staying on to bring in new sources, optimize workflows, and build out analytics models. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Modern data platforms underpinning enterprise AI is one of the most technically demanding spaces right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically, specialise in Databricks and Spark engineering, platform foundations or analytics engineering? Go for it. Want to grow toward Tech Lead or Solution Architect, steering delivery and building long-term client relationships? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The Perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling Who you are You take ownership, hold yourself to a high standard, and bring real opinions to the table. You communicate clearly with both technical and non-technical stakeholders, and you're energised by the consulting pace, new challenges, new contexts, and the pressure to deliver. We care more about how you think, build and collaborate than whether your background ticks every box. Maybe you come from software development and want to move closer to data. Maybe you've never worked in consulting but you're curious about the variety it brings. Humble enough to play for the team, sharp enough to push back when it matters. What you bring A background in Computer Science, IT, Engineering or equivalent university degree Strong programming skills in Python, with solid experience in SQL and Spark, and a sound understanding of software engineering principles Experience with cloud-based data solutions (Azure preferred, but AWS is also highly relevant) Solid understanding of data structures, modeling and processing Familiarity with data architectures like Lakehouse and Medallion AI-assisted development (you actively use tools like Claude Code, Codex, or similar in your daily work) Strong plus: Databricks or Microsoft Fabric, CI/CD pipelines for data, data governance, graph databases, prior consulting experience, Swedish language skills About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

Build modern data platforms with Databricks at the center Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution. About the role as a Databricks Specialist at Knowit In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform. You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities. Your main responsibilities will include: Designing and developing scalable data platforms based on Databricks and Lakehouse architecture Building, optimizing, and orchestrating data pipelines using Python and PySpark Working with data governance and management through Unity Catalog Integrating data with BI, AI, and ML solutions to create real business value Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working Data platform: Databricks Programming: Python, PySpark Cloud platforms: Azure, AWS, and Google Cloud Data architecture: Lakehouse, modern data platforms AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.

Build the future of data platforms with Databricks at the core Do you want to work with one of the market’s most powerful data platforms and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help create scalable, modern data solutions – with Databricks and Python at the center. About the role as a Databricks Specialist at Knowit In this role at Knowit in Gothenburg, you will help our clients design, build, and orchestrate modern cloud-based data platforms. You will work with Databricks as the core of these solutions and have the opportunity to stay at the forefront by exploring new features, ways of working, and best practices within the platform. You will be part of a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and continuous technical development are a natural part of everyday work. As a selected Databricks partner, we work closely with the platform and continuously stay up to date with new capabilities. Your main responsibilities will include: Designing and developing scalable data platforms based on Databricks and Lakehouse architecture Building, optimizing, and orchestrating data pipelines using Python and PySpark Working with data governance and management through Unity Catalog Integrating data with BI, AI, and ML solutions to create real business value Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working Data platform: Databricks Programming: Python, PySpark Cloud platforms: Azure, AWS, and Google Cloud Data architecture: Lakehouse, modern data platforms AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one – your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value. What does Knowit offer in Gothenburg? At Knowit in Gothenburg, you will be part of a culture characterized by collaboration, curiosity, and technical excellence. You will work on exciting and varied projects across industries such as retail, finance, automotive, and manufacturing, where Databricks, Python, and modern data platforms are at the core. We offer a high degree of flexibility in how you work and the opportunity to work with your preferred major cloud platform depending on client needs. At the same time, we invest long-term in your development through continuous learning, including training, certifications, and conferences. You will be based at our modern office in Gothenburg, with the possibility of a flexible work setup, and become part of a company that values work-life balance – where you also get to help shape the future of data engineering together with Knowit. Are you ready to shape the future of data platforms? We believe the future of data engineering is Databricks-driven. Do you want to help shape it together with us at Knowit in Gothenburg? Welcome to apply – we look forward to hearing from you!

Build the future of data platforms with Databricks at the core Do you want to work with one of the market’s most powerful data platforms and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help create scalable, modern data solutions – with Databricks and Python at the center. About the role as a Databricks Specialist at Knowit In this role at Knowit in Gothenburg, you will help our clients design, build, and orchestrate modern cloud-based data platforms. You will work with Databricks as the core of these solutions and have the opportunity to stay at the forefront by exploring new features, ways of working, and best practices within the platform. You will be part of a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and continuous technical development are a natural part of everyday work. As a selected Databricks partner, we work closely with the platform and continuously stay up to date with new capabilities. Your main responsibilities will include: * Designing and developing scalable data platforms based on Databricks and Lakehouse architecture * Building, optimizing, and orchestrating data pipelines using Python and PySpark * Working with data governance and management through Unity Catalog * Integrating data with BI, AI, and ML solutions to create real business value * Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working * Data platform: Databricks * Programming: Python, PySpark * Cloud platforms: Azure, AWS, and Google Cloud * Data architecture: Lakehouse, modern data platforms * AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one – your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value. What does Knowit offer in Gothenburg? At Knowit in Gothenburg, you will be part of a culture characterized by collaboration, curiosity, and technical excellence. You will work on exciting and varied projects across industries such as retail, finance, automotive, and manufacturing, where Databricks, Python, and modern data platforms are at the core. We offer a high degree of flexibility in how you work and the opportunity to work with your preferred major cloud platform depending on client needs. At the same time, we invest long-term in your development through continuous learning, including training, certifications, and conferences. You will be based at our modern office in Gothenburg, with the possibility of a flexible work setup, and become part of a company that values work-life balance – where you also get to help shape the future of data engineering together with Knowit. Are you ready to shape the future of data platforms? We believe the future of data engineering is Databricks-driven. Do you want to help shape it together with us at Knowit in Gothenburg? Welcome to apply – we look forward to hearing from you!