About the role

In this role, you’ll work hands-on with the development of real-time data flows and transformation applications within Tryg360 – their shared platform used across Sweden, Denmark and Norway. You’ll collaborate with teams throughout the Tryg Group to build scalable solutions that support analytics, decision-making, and future innovation.

You will be the technical lead in projects, analyze data models, transform data models to their common data model (TrygModel), and write data transformation applications in Java and SQL.

You are offered

• The opportunity to be part of a skilled, cross-national team working on a central data platform.
• A key role in shaping the future of data engineering at Scandinavian largest insurance group.
• A workplace that values work life balance with flexible working conditions and a collaborative culture as well as great leadership and professional development.
• Among other things - collective agreement, occupational pension, wellness insurance and a modern and friendly office at Kungsholmen in Stockholm.

Work tasks

As a Data Engineer, you'll work on integrating data from both internal and external sources into Tryg’s common data model. You’ll develop and maintain transformation applications, with data flowing in real-time to the Tryg360 Data Marketplace, supporting analytics and decision-making throughout the company.

• Acting as technical lead in data projects
• Analyzing source data models from across Tryg Group
• Transforming data into their common data model, TrygModel
• Writing data transformation applications using Java and SQL (ETL-pipelines), including CDC processes and event stream processing.

We are looking for

You have a problem-solving personality and are passionate about tackling challenges and complex problems, because in this role you will have to investigate in order to understand and transform data systems to fit Trygg-Hansas central data platform.

You need to be skilled in data modeling and programming but also being able to take lead in projects. We are looking for you who are innovative, self-sufficient and helpful and experience in the insurance industry is highly valued. Understanding the fundamental concepts of insurance will help you translate business needs into data models effectively. To succeed in this role you have,

• A Bachelor's degree in Computer Science, Data Engineering, or a related technical field
• Advanced SQL skills and work experience in data modeling within relational databases
• You have knowledge in several programming languages, preferably Java, Python, Go and/or C#.
• Solid experience in developing ETL pipelines and familiarity with Git, CDC workflows, and working in cloud-based environments
• Fluency in English, both written and spoken

It is meritorious if you have

• Experience in insurance, finance, or other data-intensive, regulated industries are highly valuable
• Understanding of Docker, and Kubernetes
• It is a strong merit if you are fluent in Swedish, Norwegian or Danish due to your team operating in those countries.

To succeed in the role, your personal skills are:

• Problem-solver
• Reliable
• Self-driven
• Detail-oriented

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

For this recruitment process there is a mandatory background check.

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