Want to help build and scale Storebrand’s modern data and AI platform?

Storebrand; Bærum; On-site; NOK 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Health insurance

Chiropractor at office

Physiotherapist at office

Pension scheme

Home loans with subsidized interest

Job summary

Storebrand is seeking a senior data platform engineer to join the Center of Excellence for Data & AI. You will help design and build a scalable data platform across Azure and Google Cloud, leveraging Snowflake, Dagster+, dbt Cloud, and Databricks to enable self-service data products for 100+ developers.

You will own frameworks, infrastructure, and data pipelines while ensuring security, compliance, and high-quality developer experience across Storebrand’s data teams.

Qualifications

• Proficiency in Python and SQL required.
• Hands-on experience with AI tools like Claude Code or GitHub Copilot.
• Experience with infrastructure as code and system integrations is a plus.
• Experience with Snowflake, Azure, Kubernetes, Databricks, GitHub, Terraform, dbt, and Dagster is beneficial.

Responsibilities

• Design and build a scalable data platform to enable self-service data products.
• Lead development of data pipelines and data apps for 100+ developers across Storebrand.
• Create frameworks, infrastructure, and integrations to scale the data platform.
• Improve security, compliance, observability, and monitoring of data products.
• Collaborate with data engineers to onboard users and deliver analytics capabilities.

Skills

Python

SQL

Education

Technical degree in data/CS

Tools

Snowflake

Azure

Kubernetes

Databricks

GitHub

Terraform

dbt

Dagster

Dagster+

GitHub Copilot

Claude Code

Job description

• Sektor Privat

Design and build a scalable data platform, creating frameworks, infrastructure, and data pipelines to enable self-service data products.

• Proficiency in Python and/or other programming languages, and SQL
• Hands-on experience with AI tools like Claude Code or GitHub Copilot
• Experience with infrastructure as code and system integrations is a plus
• Experience with Snowflake, Azure, Kubernetes, Databricks, GitHub, Terraform, dbt, or Dagster is beneficial
• Excellent pension scheme and attractive insurance benefits
• Home loans with subsidized interest rates
• Health insurance, chiropractor, and physiotherapist at the office
• Good training facilities at Storebrand Arena
• No application letter required, only CV and a few questions

Want to help build and scale Storebrand’s modern data and AI platform?

Storebrand aspires to be a data-driven company, leveraging technology to create new business opportunities and deliver products that resonate with our users. We recognize the crucial role of a modern, cloud-enabled data and analytics platform in achieving this ambition.

We are looking for a senior data platform engineer that will be part of the central team that develops and is responsible for our data - and analytics platform. The position is in Storebrand’s Center of Excellence for Data & AI. This business unit is placed centrally in the Storebrand Group and has responsibility and ownership of processes that spans the different business units of Storebrand.

About the team!

You will be joining the platform-team which is responsible for creating a scalable and high-quality data- and analytics platform that accommodate Storebrand's evolving data and analytical needs. We distribute ownership and our goal is that the data teams across Storebrand have a high degree of self-service when it comes to working with data and AI.

As a senior data platform engineer, you will play a central role in designing and creating a superior developer experience across best-of-breed tools for scaling our data platform. Responsibilities include creating frameworks, infrastructure, systems integration, and building data pipelines. Your focus will extend to enabling data teams to build self-service data products while ensuring high standards for security and compliance.

You will be working with a wide range of modern tools and technology. We are multi-cloud with both Azure and Google Cloud. Core Components of the data platform include Snowflake, Dagster+ for orchestration, dbt Cloud for data transformation and DLT for data ingestion. Supporting tools include Github for version control, Terraform for infrastructure as code, Kubernetes as a container platform, Databricks for advanced analytics and PowerBI as our enterprise reporting tool.

What you will be doing

At Storebrand, you can look forward to a work environment with a high degree of variety. You will take the lead in building frameworks for data engineering at scale supporting 100+ developers across all areas of the Storebrand Group. A typical week will encompass a diverse set of tasks:

Making our data teams more efficient by building and evolving our frameworks for data ingestion, orchestration, data apps, and infrastructure on top of our data platform.

Experimenting with, building with and improving the way we use AI and AI-agents on our platform to help us and the data teams scale.

Engage in ongoing development and maintenance of our data platform ensuring robust, secure and compliant secure data platform.

Take responsibility for developing data products within the data platform team, emphasizing data observability and monitoring.

Act as a key resource and technical advisor for data engineers across Storebrand helping with their operational and analytical needs.

Maintain close contact with users ensuring a clear understanding of the needs and challenges when onboarding to our platform.

Who are you?

You likely hold a technical degree and possess a genuine curiosity for working with data and technology. You want to take ownership of a modern data platform, and you enjoy working in a small team while serving many users. You must be pragmatic while being able to take ownership of what you build, but you don’t compromise on security and compliance.

As for the technical side, proficiency in Python and/or other programming languages, as well as SQL, is crucial. You have hands-on with AI-tools like Claude Code or Github Copilot and know their strengths and weaknesses. Experience with infrastructure as code and system integrations is a plus. Hands-on experience with technologies like Snowflake, Azure, Kubernetes, Databricks, Github, Terraform, dbt, and Dagster is beneficial but not mandatory.

Why choose Storebrand?

At Storebrand, you’ll have the space to make an impact, be heard, and grow within a company offering many opportunities. We take pride in our culture, our drive, and the shared direction we are working towards: A future to look forward to.

We actively work to foster an inclusive and diverse environment, and our efforts are being recognized. In 2025, Equileap ranked Storebrand as the number one company in Norway and among the world's top three companies for gender equality. The following year, we were named ODA Champions and ranked second on the SHE Index for our commitment to diversity and inclusion. As future optimists, we think long term and invest in solutions that strengthen both our organization and the society around us. This is one reason why we are one of only two Norwegian companies included in the Dow Jones Best-in-Class World Index.

At our Lysaker office, you will work in a central location with good public transport connections, bicycle parking, and changing facilities. You will receive health insurance, access to a chiropractor and physiotherapist at the office, and good training facilities at Storebrand Arena. In addition, we offer an excellent pension scheme, attractive insurance benefits, and home loans with subsidized interest rates.

Questions about the team or the role? Contact Eivind Berg (Tech Lead Data Platform) at [e-mail].

Application deadline: 07.10.2026. Applications will be considered on a rolling basis. We accept applications in both Norwegian and English.

• Python (dataprogrammering)
• SQL