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

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