Data Engineer – Investment Management(EN)

Van Lanschot KempenAmsterdamRemoteFull-time5 days ago

Data Engineer needed for Investment Management Technology & Analytics (IMTA) at Van Lanschot Kempen in Amsterdam. Requires approximately five years of data engineering experience with strong Python, SQL, and PySpark skills, plus experience with cloud-based data platforms, particularly Azure and Databricks. The role involves building and evolving a data and analytics platform used by investment professionals.

What you'll do

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

What you need

Must-have

PythonSQLPySparkAzure DatabricksAzure Data FactoryAzure StorageAzure SQLGit

Nice-to-have

Software engineeringInvestment dataFinancial dataSustainability data

Soft skills

CuriousPragmaticCollaborativeOwnershipProblem solvingCommunication

Data EngineerInvestment ManagementFinancial ServicesAzureDatabricksPySparkPythonSQLCI/CDRemote

/What you'll do

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Must-have

Nice-to-have

Soft skills

What you'll do

What you need