Senior Data Engineer

About the Company Join a leading international financial services organization where data, technology, and innovation drive business transformation. You will work within a technology-focused engineering environment, contributing to strategic data products that provide trusted insights and support enterprise-wide decision-making.

Role Description We are looking for a Senior Data Engineer (Azure Synapse & Databricks) to support the development, optimization, and future evolution of enterprise data products. You will play a key role in enhancing existing solutions, building scalable data pipelines, and supporting the transition towards a modern Databricks-based platform.

Responsibilities Design, develop, and optimize data pipelines using Azure Synapse and Databricks.

Build scalable ELT/ETL frameworks and reusable data components.

Develop and maintain APIs and data products.

Improve data quality, reliability, performance, and maintainability.

Support platform modernization and migration initiatives.

Collaborate with Business Analysts, Architects, Product Owners, and engineering teams.

Contribute to CI/CD processes, testing, monitoring, and automation.

Drive knowledge transfer and reduce technical debt.

Requirements 5+ years of experience as a Data Engineer.

Strong experience with Azure Synapse Analytics and Azure Databricks.

Proficiency in Python, SQL, and PySpark.

Experience building and optimizing ELT/ETL pipelines and data warehousing solutions.

Hands-on experience with Azure Cloud, Azure Data Factory, Azure DevOps, Git, REST APIs, and CI/CD pipelines.

Knowledge of data modelling, distributed data processing, and Lakehouse architectures.

Experience with Medallion Architecture, Delta Lake, and Unity Catalog.

Experience delivering enterprise-scale data products and supporting platform migrations.

Strong stakeholder management, communication, and problem-solving skills.

Ability to work independently, take ownership, and drive initiatives forward.

Experience in banking/financial services and application landscape data is a plus.

Fluent in Dutch and English (mandatory).

Other Information 59117

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