Data Engineer

Michael Bailey Associates; Utrecht; On-site; EUR 90,000 - 140,000; Full time

Job summary

Michael Bailey Associates is seeking a Senior Data Engineer for a leading bank in the Utrecht region. You will design, build and optimize data platforms that support liquidity reporting and regulatory compliance in a highly regulated environment.

You will work with Azure Data Factory, Databricks, and Synapse to deliver robust pipelines, data models, governance, and CI/CD. Mentor junior engineers and collaborate with Finance, Risk and Regulatory teams.

Qualifications

• Proven experience as a Data Engineer in enterprise environments.
• Strong SQL and data modeling skills.
• Experience with banking or financial data is highly valued.
• Familiarity with data governance and regulatory reporting.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Data Factory.
• Develop and optimize data processing solutions in Azure Databricks (Spark).
• Model and manage data in Azure Synapse Analytics.
• Support liquidity reporting frameworks (LCR, NSFR) and regulatory compliance.
• Implement data governance, lineage, security, and CI/CD for data platforms.
• Mentor junior engineers and contribute to engineering standards.

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Terraform / ARM

CI/CD for data pipelines

Job description

For a leading bank in the Utrecht region, we are looking for a Senior Data Engineer who will play a key role in building and optimizing data platforms that support critical financial processes such as liquidity reporting and regulatory compliance.

You will work in a highly regulated environment where data accuracy, reliability, and scalability are essential.

What Will You Do?

As a Data Engineer, you will be responsible for designing and delivering robust data solutions:

• Design, build, and maintain scalable data pipelines using Azure Data Factory (ADF)
• Develop and optimize data processing solutions in Azure Databricks (Spark)
• Model and manage data in Azure Synapse Analytics

Liquidity & Regulatory Reporting

• Support and enhance liquidity reporting frameworks (e.g., LCR, NSFR)
• Ensure data quality, lineage, and auditability for regulatory requirements
• Collaborate with Finance, Risk, and Regulatory teams
• Design efficient data models (star/snowflake) for analytical workloads
• Optimize performance and cost across Azure data services
• Implement data partitioning, indexing, and caching strategies

Governance & Security

• Ensure compliance with banking standards (e.g., BCBS 239 principles)
• Implement data governance, access control, and encryption
• Maintain strong data lineage and traceability
• Work closely with Data Scientists, Analysts, and DevOps teams
• Contribute to improving data engineering standards and best practices
• Mentor junior engineers and elevate team maturity

What Do You Bring?

Must-Have Experience

• Proven experience as a Data Engineer in enterprise environments
• Strong hands-on experience with:
• Solid SQL and data modeling skills

Domain Knowledge

• Experience with banking or financial data is highly preferred
• Knowledge of liquidity reporting (LCR, NSFR) is a strong plus
• Experience with CI/CD for data pipelines
• Familiarity with Infrastructure-as-Code (Terraform / ARM)
• Understanding of data quality frameworks and testing

Governance & Compliance

• Experience working in regulated environments
• Knowledge of data governance, lineage, and auditing

Context

The organization is actively evolving its data platform maturity. You will help:

• Improve data reliability and scalability
• Enable faster and more accurate regulatory reporting

What Makes This Role Interesting?

• Direct impact on critical financial reporting
• Opportunity to shape data engineering standards
• High visibility within the organization