Senior Data Engineer

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description We are currently looking for a Senior or Expert Data Engineer to join a large-scale data transformation initiative at a global retail organization. This assignment is part of a strategic effort to build modern data platforms and enable a truly data-driven organization. In this role, you will contribute to building and maintaining data products within a Data Mesh architecture, working closely with cross-functional teams to deliver scalable and high-quality data solutions. Key Responsibilities: Design and develop robust SSAS cubes (tabular or multidimensional) to support advanced analytics and reporting. Build, optimize, and maintain SQL-based ETL pipelines and data models. Collaborate with analysts and business stakeholders to translate requirements into scalable data solutions. Ensure data quality, performance, and governance across data products. Migrate or integrate existing on-premise data solutions to Google Cloud Platform (GCP). Contribute to the development of data-intensive solutions within a modern data platform. Required Qualifications Proven experience with SSAS and OLAP cube development. Strong SQL skills (e.g., T-SQL, BigQuery SQL). Experience with data modeling and performance tuning. Hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, and Cloud Storage. Familiarity with CI/CD practices within data engineering environments. Experience with Power BI or other reporting tools. Exposure to dbt, Airflow, or similar orchestration tools. Strong problem-solving ability and collaborative mindset. Fluent in English (written and spoken) Nice to Have Understanding of retail business processes and data. Experience working with data visualization tools. Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

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 Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands. In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams. 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 are looking for someone who can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow. You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling. What you will do Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow Develop scalable and maintainable data models that support analytics, reporting, and AI use cases Help define best practices for data modeling, transformation, testing, documentation, and governance Mentor junior engineers and support the team in making good technical decisions Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working Improve reliability, performance, cost-efficiency, and scalability of our data solutions Contribute to a culture of ownership, learning, and continuous improvement What we are looking forMust have Solid experience as a Data Engineer or similar role Strong SQL skills and good understanding of data warehousing concepts Experience with data modeling and building data products for analytics or reporting Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar) Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and ability to work well across teams Nice to have Experience with Python or scripting for data engineering workflows Experience with CI/CD, GitOps, and version control best practices Experience with cloud platforms such as AWS, GCP, or Azure Experience with data quality, observability, governance, or access control Experience as a senior engineer in a cross-functional environment Why join us? High ownership and influence in shaping technical direction and ways of working Opportunity to shape trusted data products with real impact across Schibsted Media 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 working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration. 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. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.