About the Role
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.
Responsibilities
•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 data is trustworthy
•Improve the reliability, performance, observability and maintainability of the 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
Requirements
•Bachelor's or master's degree in Computer Science, Data Science, Mathematics, Engineering, Finance or a related field, or equivalent professional experience
•Approximately five years or more of relevant data engineering experience
•Strong programming skills in Python and SQL
•Familiarity with distributed data processing, for example using PySpark or an equivalent technology
•Understanding of data modelling and the principles of data quality and automated testing
•Experience working with cloud-based data platforms; experience with Azure and Databricks is particularly relevant
•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
•Curious, pragmatic and motivated to continuously improve both the technology and the way the team works
Nice to Have
•Software engineering experience
•Experience with investment, financial or sustainability data (valuable but not essential)
Conditions & Benefits
•Good work-life balance with a 'hybrid way of working'
•Gross monthly salary between €5,500 and €7,000 depending on knowledge and experience
•Flexible budget of 19.47% of 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 possibility to attend conferences
•Excellent pension scheme
•Possibility to work abroad for up to 2 months per year
•Other additional employment benefits
