Data Engineer DataMall
Do you want to play a key role in implementing the data strategy of NN Life & Pensions and delivering high-quality data products and insights to our stakeholders? Do you enjoy working with the latest technologies in an Agile environment? Then this role could be a great fit for you.
What you are going to do
In this role, you are responsible for collecting, delivering and managing high-quality data for strategic reporting, financial reporting (IFRS 17 and Solvency II), portals and other consumers. You will work extensively with SQL, PL/SQL, Python and testing tools. With the upcoming migration from SAP BW/HANA to Databricks on the Azure platform, we are looking for someone with a strong learning mindset.
Key responsibilities:
- Contribute to the implementation of the data strategy and data architecture of NN Life & Pensions
- Design, develop and deliver epics and user stories for the development, testing, implementation and management of golden data products in Azure Databricks
- Translate business requirements into accessible data solutions and insights
- Continuously improve the performance of our data models
- Proactively prevent and resolve incidents and issues
- Participate in Agile/Scrum sessions together with our business partners
Who you will work with
The Data Mall department consists of approximately 50 colleagues. Everyone shares a strong passion for data and IT and brings diverse backgrounds and experiences. We work in Agile teams towards shared goals, with a high level of ownership for each team member. Our teams are engaged, open and result-driven.
What we offer you
At NN, we invest in an inclusive and inspiring work environment, as well as in the skills and competencies needed for the future. We combine this with employment conditions that match today’s and tomorrow’s needs, giving our employees the opportunity to get the best out of themselves. We offer:
- A salary between €3,517 and €5,846 based on a 36-hour workweek, depending on knowledge and experience
- 13th month and holiday allowance, paid monthly
- 27 vacation days for a full-time position and three Diversity Days
- A modern pension scheme via BeFrank
- Extensive training and development opportunities
- An NS Business Card (2nd class) for unlimited travel, including private use. Prefer to travel by car? Mileage reimbursement is available
- Allowances for setting up your home office and internet usage
Who you are
- You are able to explain complex topics in a clear and accessible way and enjoy working in an Agile environment
- You are assertive, curious and have a flexible mindset
- You hold at least a Bachelor’s degree in Computer Science, Information Management, Economics, Econometrics or another quantitative field
- You have at least 5 years of experience as a Data Engineer / Data Warehouse Engineer and a proven track record with Azure and Databricks
- Solid (medior-level) knowledge with a minimum of 5 years of hands-on experience in SQL and Python, including expertise in window functions, relational databases, dimensional data modelling, PL/SQL (procedures, functions, dynamic SQL, etc.), and familiarity with Git and CI/CD pipelines
- Experience with SAP HANA Calculation Views and Table Functions, Power BI and DAX (Data Analysis Expressions) is a strong plus. You are familiar with Azure Data Factory, the Azure Portal and available services
- Experience with Power BI and building reports and dashboards
- Experience working in an Agile environment and translating business requirements into data solutions
