Wat je gaat doen

We are looking for a senior Data Engineer to join our Financial Data Services teams at NN to help us design, build, deploy and run the data solutions for Finance & Risk that will drive our Data Strategy. We have been working on implementing our Data Strategy in the last 5+ years. This is already paying off with the new future-proof data platforms that we now have in place. However, we need to accelerate our implementation and get ready for the next challenges: enabling AI, integrating data platforms with our legacy systems, provide data via self-service and redesigning our business processes to become data-driven.

We need a senior Data Engineer to join our Data Services team in the Finance domain at NN. This team is responsible for building and running multiple data solutions, such as the ESG Central Data Platform, MIP and others. These solutions are running on Azure and are built with Azure native data technologies, such as Data Factory and Databricks.

Common activities for the Data Engineer to work on in this position are:

Design, implement and maintain data pipelines using best practices
Write automated unit and regression tests
Build scalable, reusable and future proof data pipelines
Have a close eye on developments in the cloud and data marketplace to apply innovations on our platform
Perform code reviews of other developers
Design and implement data storage layer with Azure Data Lake Storage Gen2
Work on solutions for ingesting batch and streaming data and transform using Databricks Spark notebooks using Delta Lake
Align with colleagues on solution design and architecture
Advice on the use of the features and technologies such as Databricks Unity Catalog which could deliver business benefits
Align with colleagues in different teams on the Product Backlog and Roadmap of the team

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 €4.462 and €6.375 gross per month, 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 kilometers travelled
Allowances for setting up your home office and for internet use

Wat je meebrengt

We are looking for a candidate with the following skills and experience

5+ years experience working on data solutions as data engineer
Multiple years experience in working with Azure technologies
Multiple years experience in working with Azure data technologies such as Data Factory and Databricks
Multiple years experience working with Python
Hands on experience with PySpark
Knowledge of data engineering concepts and capable of applying this to solution design and architecture
Experience with data modeling
Multiple years experience in working
Living in The Netherlands and willing to come to the office in The Hague 2 days per week
Fluent in English, both verbal and in writing
Experience working in Agile/Scrum and DevOps teams

We prefer candidates with one or more of the following skills and experience:

Experience in working in the Financial Services industry
Experience with enterprise software development (Java, C#)
Fluent in Dutch

Met wie je werkt

You will work in a diverse environment with a lot of professionals with strong experience in Finance & Risk and IT. Your colleagues have many different nationalities and English is the default language for meetings and communication. Working at NN in the Finance & Risk domain can be demanding: strict deadlines and hard requirements are common. However, we combine this with the Agile way-of-working (in Agile and DevOps teams), and there is always room for experimentation and ideas for improvements. We celebrate our successes and results, and appreciate the contributions of every individual in the team.