Data engineer in investment management

As a Data Engineer within Investment Management Technology & Analytics (IMTA), you will help build and evolve the data and analytics platform used by investment professionals across Van Lanschot Kempen.

• develop production-grade data pipelines and transformations using Python, SQL and PySpark
• design data models that turn complex investment and sustainability data into well-structured, reusable datasets
• build automated data-quality checks and engineering tests to ensure that our data is trustworthy
• improve the reliability, performance, observability and maintainability of our data platform
• contribute to engineering standards, architecture and technology choices within the team
• use CI/CD and automated deployment practices to safely bring changes into production
• collaborate directly with investment, risk and reporting specialists to translate business needs into robust technical solutions
• help improve the team's software engineering practices and development processes
• explore new technologies and opportunities in data engineering, analytics and AI where they can create business value

• have a bachelor's or master’s degree in computer science, Data Science, Mathematics, Engineering, Finance or a related field, or equivalent professional experience
• have approximately five years or more relevant data engineering experience.
• have strong programming skills in Python and SQL
• are familiar with distributed data processing, for example using PySpark or an equivalent technology
• understand data modelling and the principles of data quality and automated testing
• have experience working with cloud-based data platforms. Experience with Azure and Databricks is particularly relevant
• are comfortable working with Git, CI/CD and modern software-development practices
• enjoy taking ownership of solutions from design and development through to production
• enjoy collaborating with both engineers and business specialists
• are curious, pragmatic and motivated to continuously improve both the technology and the way the team works
• Будет плюсом: Software engineering experience is nice to have; Experience with investment, financial or sustainability data is valuable, but not essential

• A good work-life balance with our ‘hybrid way of working’ is a good example of this.
• A gross monthly salary between € 5.500 and € 7.000 depending on your knowledge and experience
• A flexible budget of 19.47% of your gross salary, including a 13th month and holiday allowance
• 27 leave days (with flexibility to adjust via the budget)
• Flexible working hours and hybrid working
• Training opportunities and the possibility to attend conferences
• An excellent pension scheme
• The possibility to work abroad for up to 2 months per year
• And we have many other employment benefits ready for you.