Senior Data Engineer - AI TechEx Data

Are you ready to turn data into measurable business impact? Join Tryg at the forefront of our transformation journey and play a role in shaping how data and AI create value across our core insurance business. 

 

About the role | The foundation for everything we do

Data is one of the most valuable assets for Tryg, and as Senior Data Engineer, you will be central in executing the data strategy within Pricing, Portfolio Management and Underwriting. You will operate at the intersection of business and technology, working closely with business to ensure scalable data products that create business value both locally and across the Nordics.

As Senior Data Engineer, you are accountable for the bridge between raw data and business-oriented data products. Ensuring that data is available, trustworthy, well-modelled, governed, cost-efficient, and easy for analysts, actuaries, and data scientists to use.

• Raw data ingestion: Ingest source-system data into relational databases or Lakehouse in a controlled, repeatable, and auditable way, supporting batch, streaming, and unstructured data where relevant.
• Data modelling and transformation: Build scalable pipelines that turn raw/bronze data into refined/silver and curated/gold data products applying medallion architecture.
• Data product ownership: Own, maintain and improve production-grade data products with stable schemas, clear business semantics, documented freshness and reliable update cadence.
• Quality, governance and compliance: Implement data quality checks, schema management, lineage, access controls and governance.
• Performance and cost efficiency: Optimize workflows, compute usage, storage and pipeline design to handle large datasets efficiently while managing cloud cost.
• Operational reliability: Monitor pipelines, troubleshoot incidents, and ensure data products are reproducible, resilient, and suitable for business-critical use.
• Engineering leadership: Guide junior engineers, review technical work, promote common standards, and contribute to architecture decisions and reusable engineering patterns.
• Business enablement: Work closely with business stakeholders to understand priorities and translate domain needs into scalable and reusable data products.

 

About you | Strong Technical Expertise with a Business Mindset 

We are looking for an experienced and pragmatic Senior Data Engineer who combines a strong technical skill set with business understanding. You thrive in complex environments and know how to translate tech into business value. 

You will be successful in this role if you:

• Take ownership of initiatives and are accountable for delivering results
• Understand business priorities, context, and the trade-offs required to achieve outcomes
• Have experience working in agile teams (e.g., Scrum or Kanban), delivering iteratively and collaborating closely with business stakeholders
• Can effectively define problems, set priorities, and scope deliverables
• Communicate fluently in Danish, Norwegian, or Swedish, and have professional proficiency in English

It is an advantage if you have experience with Databricks, SQL, Phyton, Gitlab, data modelling, and governance. 

 

About us | Newly established central AI Development Hub 

Tryg Forsikring is one of Scandinavia's largest non-life insurance companies, with operations in Denmark, Norway, and Sweden, serving more than 5 million customers across both private and commercial segments. Tryg has a proven track record as an industry leader, committed to continuous improvement and innovation. 

At Tryg, AI and advanced use of data are at the core of our operations – but we believe we can achieve even more. That is why we are strategically bringing together AI Development & Delivery, with over 50 data scientists and engineers in a new Nordic AI Hub. The Hub serves as the central anchor point, responsible for group-wide strategic prioritization, effective development, and scaling to ensure that Tryg gains even greater impact from both new and existing AI solutions – spanning classic machine learning as well as GenAI. 

The Hub operates directly in line with Executive Board priorities and mandate, with a group-wide footprint. Come join us and become part of a game-changing team at Tryg Group! 

 

We look forward to hearing from you 

Send your application and CV no later than 17 August 2026. We encourage you not to attach a photo to your CV.

We review applications on an ongoing basis, so we encourage you to apply as soon as possible.

If you have any questions about the role, please feel free to contact Anne Sofie Håheim, Head of AI Data TechEx, at anne.haaheim@tryg.no or Ole-Petter Moe Hansen Head of Nordic AI – TechEx at olepetter.hansen@tryg.no