Jobs Β· nav_no
Senior Data Engineer in Data Product Engineering
Solstice Analytics Β· OSLO, OSLO Β· Posted 15d ago
About the role
Shape reliable and scalable data products for Solstice Analytics Media, guiding technical direction and mentoring junior engineers.
Senior Data Engineer in Data Product Engineering - arbeidsplassen.no
Join the Data & AI journey at Solstice Analytics Media
Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Solstice Analytics 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 Solstice Analytics 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 2β3 more engineers to join us on the journey.
What you will do
β Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions
β Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow
β Develop scalable and maintainable data models that support analytics, reporting, and AI use cases
β Help define best practices for data modeling, transformation, testing, documentation, and governance
β Mentor junior engineers and support the team in making good technical decisions
β Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working
β Improve reliability, performance, cost-efficiency, and scalability of our data solutions
β Contribute to a culture of ownership, learning, and continuous improvement
What we are looking for
Must have
β Solid experience as a Data Engineer or similar role
β Strong SQL skills and good understanding of data warehousing concepts
β Experience with data modeling and building data products for analytics or reporting
β Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar)
β Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments
β Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language.
β Collaborative mindset and ability to work well across teams
Nice to have
β Experience with Python or scripting for data engineering workflows
β Experience with CI/CD, GitOps, and version control best practices
β Experience with cloud platforms such as AWS, GCP, or Azure
β Experience with data quality, observability, governance, or access control
β Experience as a senior engineer in a cross-functional environment
Why join us?
β High ownership and influence in shaping technical direction and ways of working
β Opportunity to shape trusted data products with real impact across Solstice Analytics Media
β Flexible working hours and hybrid work options with strong trust and autonomy
β International environment with offices in Oslo, Stockholm, and Krakow
β Strong learning culture with learning budget and active engineering & AI communities
β Access to Solstice Analyticsβs 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 Solstice Analytics Media, we would love to hear from you.
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FAQ
Is the Senior Data Engineer in Data Product Engineering role at Solstice Analytics remote?+
This Senior Data Engineer in Data Product Engineering position is listed as onsite (OSLO, OSLO).
What seniority level is this Senior Data Engineer in Data Product Engineering role?+
This is a senior level position.
How do I apply for the Senior Data Engineer in Data Product Engineering role at Solstice Analytics?+
Use the "Apply on nav_no" button to open the original posting on nav_no, where you can submit your application directly to Solstice Analytics.