You will automate our business processes by creating fully orchestrated data flows, taking care of the best possible data quality and providing valuable insights. You are able to identify data improvements and you know how security and compliancy are built in into our data platform.

You are a data wizard and you are able to represent NN Re towards both internal and external stakeholders, like other NN business units. You have in-depth knowledge of data analytics, data engineering and scripting, and applying these techniques in practice. You know which data solutions are available and widely used. Market developments have your specific interest and you know how to translate these into our environment. You drive data automation and data usage in the NN Re teams. You are able to create data driven reporting and to educate colleagues to make the best use of data.

This job offers you a monthly salary between €3.972 and €5.675 depending on your experience. This is based on a 36-hour work week, excluding a 13th month and holiday allowance.

Wat je gaat doen

Working on Data Transformation in the NN Re Data Analytics platform build on Azure and Databricks and translating IT business requirements into technical specification documents
Analysing source data, understanding relationships, hierarchies, groups, trends etc.
Proposing solution’s architecture and selecting the right components. Implementing, enhancing and optimizing ETL jobs and Data Models
Build ADF pipelines and spark / python / yaml notebooks
Use Databricks Unity Catalog

Wat wij jou bieden

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:

Salary between €3.972 and €5.675 depending on your knowledge and experience
13th month and holiday allowance are paid with your monthly salary
27 vacation days for a 5-day working week and one Diversity Day
A modern pension administered by BeFrank
Plenty of training and learning opportunities
NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
Allowances for setting up your home office and for internet use

We work hybrid at NN. Together with your team, you decide where, how and when you work. The official location of this job is The Hague.

Wat je meebrengt

You have a HBO/WO degree in software engineering, data science, computer science, math or equivalent
You are a team player
You have proven experience in building data flows in Databricks, Azure Data Factory
You have a minimum of 3 years working experience in data solutions, data engineering and creating notebooks using python or (py)spark
You have strong analytical skills

Met wie je werkt

NN Re is the reinsurance company of NN Group. With 60 people from 30 nationalities we reinsure and hedge large amounts of premiums. It offers the best of both worlds: exposure to large and complex balance sheet solutions, with a start-up company setting with a group of experts. NN Re wants to become a fully data driven company and is currently building a state of the art data analytics platform (ReDAP) in Microsoft Azure.

As Data Engineer you work in the IT team and report to the Head of IT. The IT team consists of 9 professionals. They all have their own specific knowledge besides the basics. The atmosphere is informal, we love results and like teamwork. Every week we have Learn, Build and Share sessions.

The IT team supports the Reinsurance Solutions, Hedging Solutions, Capital Management & Finance and Financial Risk Management departments of NN Re. You work closely together with our data analysts. By joining the overall NN data engineering guild you will keep in touch with your peers in other business units.

Would you like to know more about what it’s like to work at NN? Follow us on social media at @nncareers for an inside look at our company.