Senior Python Data Engineer

We're working with a large financial organisation in Utrecht that is looking for a Senior Data Engineer to help strengthen and scale its enterprise data platform.

The role focuses on building secure, scalable and high-performing data solutions within an Azure environment. You will work hands-on with Azure Databricks, PySpark and Python, developing production-grade pipelines and APIs that enable users across the organisation to work with reliable and compliant data.

The role includes:

Designing and optimising large-scale pipelines in Azure Databricks

Developing APIs and automation using Python

Working extensively with PySpark and large datasets

Improving performance, reliability and scalability of data services

Building automated workflows that support compliant data usage

Working with Azure Data Factory, Storage, SQL and Azure DevOps

Collaborating with data, platform and governance teams

Strengthening data quality and end-to-end solution integrity

They are looking for:

8+ years of experience delivering production data solutions

Strong Python, including OOP and API development

Strong PySpark and Databricks experience

Experience optimising Databricks pipelines/workloads

Azure experience across ADF, Storage, SQL and DevOps

Strong analytical and problem-solving skills

Experience within large-scale or regulated data environments is a plus

The position is hybrid in Utrecht and offered as a long-term secondment opportunity through IQ Staffing, giving you the stability of employment with IQ Staffing while working directly within the client’s data engineering environment.

In simple terms, you will be helping build and improve the secure data services and pipelines that enable teams across the organisation to work with high-quality, compliant data.

Would you be open to a short conversation about it?