
Schibsted · Oslo
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 c...
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.
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.
language.
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 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 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 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. As part of a newly formed team of Data / Analytics Engineers, 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 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 FOR MUST 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. 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.
The opportunity We are currently looking for a Customer Service Lead. This person will be a key member of Polestar`s Customer Service Operations team where you will serve as a primary point of contact for workshops and external partners, where you will ensure smooth communication and collaboration, be responsible for coordinating service operations, addressing queries and providing support to workshops and partners to maintain a high service standard. Your role will involve managing service processes, ensuring timely resolution of issues and aligning workshop and partner activities with Polestar`s operational goals. This role will be a important part of building strong relationships with our partners, and to contribute to efficient delivery of high-quality services and customer satisfaction. This position is located at Polestar Norway HQ in Fornebu, Oslo. This role will mainly work onsite to really connect with your department and be able to better collaborate with the rest of our Polestar team. With this new position our Customer Service team will grow from one to two people where both will report directly to our Head of Customer Experience. Frequent business travel to our service and retail partners is an integral part of this role, and will be required on a regular basis. The responsibilities In this role, you will be expected to drive aftersales performance, service quality and sustainable business growth across the network. As member of the Customer Service department in Norway you will be an important part of developing performance across the network as well as internally within the department. See below for a more thorough breakdown of the various tasks and areas you will be responsible for: * Drive aftersales performance, service quality, and sustainable growth across Polestar’s service network. * Support service partners in solving operational and technical challenges while maximizing customer retention and revenue. * Analyze key aftersales KPIs and translate insights into actions that improve profitability and service performance. * Lead continuous improvement initiatives that optimize operations and enhance customer experience. * Deliver strategic service market projects and build strong partner relationships to grow revenue, loyalty, and network performance. The ideal candidate To succeed in this role, and at Polestar In general, there are a few characteristics you will need to have. Curiosity. Flexibility. Tenacity. You will also need to have the ability to take initiative, build long-term relationships and have an eye for possible improvements and growth opportunities in a dynamic environment. You are driven by taking ownership, responsibility, optimalisation and collaboration. It is preferable that the candidate also has a strong analytical sense as well as having a strategic mindset to transform insights into initiatives. In addition, you will need the following qualifications: * Solid experience within automotive aftersales, service network operations, or customer service management. * Relevant degree in Business, Finance, Engineering, or equivalent professional experience. * Experience from the Polestar Service Network is considered a strong advantage. * Demonstrated ability to lead cross-functional projects and drive business and service improvements. * Strong data analysis capabilities with a track record of turning customer and operational insights into measurable results. The process If you find the position interesting and the above description matches your ambitions, be sure to apply. Our selection process is ongoing, and the job advert will remain open until it’s filled. The Polestar journey is an electric one.
We are looking for a Data & AI Governance Specialist to strengthen our work on data governance across Schibsted. The role focuses on supporting and executing governance practices across both the line organization and data & AI-related projects. You will work hands-on with teams across technology, product, and subscription to implement governance frameworks, resolve data governance issues, and ensure consistent practices. The role requires a structured and pragmatic approach, with the ability to operate in a complex stakeholder landscape. This is an execution-oriented role, where you will contribute to embedding governance in day-to-day work rather than defining overall strategy. KEY RESPONSIBILITIES DATA GOVERNANCE EXECUTION * Support the implementation of data governance frameworks, standards, and processes across Schibsted. * Contribute to establishing and maintaining practices for data quality, metadata, documentation, and data management. * Help ensure clear data ownership and accountability across teams. * Follow up on governance-related initiatives and support continuous improvement of governance practices. GOVERNANCE SUPPORT IN PROJECTS * Participate in data and AI-related projects to ensure governance requirements are applied in practice. * Support teams in implementing data governance standards in data products and use cases. * Assist in identifying and addressing governance-related risks and gaps in projects. COMPLIANCE & DATA HANDLING * Support alignment with GDPR and internal data policies, in collaboration with legal and privacy teams. * Contribute to implementation of data mesh principles in data handling. * Assist in documentation, assessments, and follow-up related to compliance requirements. STAKEHOLDER COORDINATION * Collaborate with stakeholders across technology, product, subscription, legal, and business teams on governance topics. * Act as a supporting resource for governance-related questions within projects and teams. * Help ensure alignment and consistency in governance practices across brands and functions. QUALIFICATIONS * Bachelor’s degree in a relevant field (e.g., Data, IT, Business). * 2–4 years of experience in data, analytics, governance, or related roles. * Basic understanding of data governance, data management, or compliance concepts. * Familiarity with GDPR or data privacy principles is an advantage. * Experience working in cross-functional environments. * Strong structured thinking and ability to follow through on tasks and initiatives. KEY COMPETENCIES * Structured and detail-oriented: Able to work systematically with data and processes. * Execution-focused: Delivers on defined tasks and supports implementation. * Collaborative: Works effectively across teams and functions. * Pragmatic: Balances governance requirements with business needs. * Proactive: Takes initiative and follows up independently. WHAT SUCCESS LOOKS LIKE * Governance practices are consistently applied in projects and teams you support * Data is better structured, documented, and managed in your areas of involvement * Governance-related issues are identified and resolved efficiently * Stakeholders experience governance as practical and enabling, not blocking * Type of employment: Full-time * Location: Oslo / Hybrid We evaluate candidates continuously, and the position may be filled before the application deadline. Schibsted is the largest news provider in the Nordics, with brands such as VG, Aftonbladet, TV4, MTV, Aftenposten, Svenska Dagbladet, and Podme. Every day we inform, engage, and entertain millions of people across Sweden, Norway, and Finland. Since 1839, trust has been our foundation. Our journalism empowers people, builds communities, and strengthens democracy – and innovation ensures we continue to protect that mission. Our democracies depend on independent journalism. That’s our business.