Data Engineer

A leading bank in the Utrecht region is seeking a Senior Data Engineer to build and optimize data platforms supporting critical financial processes such as liquidity reporting and regulatory compliance. The role requires strong hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, along with solid SQL and data modeling skills. Experience in banking or financial data and knowledge of liquidity reporting (LCR, NSFR) are highly preferred.

On-siteFull-timeSeniorAzure Data FactoryAzure Databricks

Data Engineer

A leading bank in the Utrecht region is seeking a Senior Data Engineer to build and optimize data platforms supporting critical financial processes such as liquidity reporting and regulatory compliance. The role requires strong hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, along with solid SQL and data modeling skills. Experience in banking or financial data and knowledge of liquidity reporting (LCR, NSFR) are highly preferred.

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On-siteFull-timeSeniorAzure Data Factory

Salary

Not specified

Work Location

Utrecht, Netherlands, NL

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Azure Data FactoryAzure DatabricksApache SparkPySparkAzure Synapse AnalyticsSQLData ModelingCI/CDTerraformARMData GovernanceData LineageData AuditingData Quality FrameworksData PartitioningIndexingCaching StrategiesStar SchemaSnowflake SchemaAccess ControlEncryption

Soft Skills

CollaborationMentoringOwnership

Preferred Qualifications

Technical (Nice-to-have)

Banking DataFinancial DataLiquidity Reporting (LCR, NSFR)

Key Responsibilities

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

Data EngineerSeniorAzureBankingFinancial ServicesRegulatory ReportingLiquidity ReportingData PlatformOn-siteUtrecht