Senior Data Engineer

Introduction 36 hours per week Start date: 21 September 2026 End date: 31 August 2027 Hybrid working with 2 days in office ZZP is not allowed The relocation is not possible for this role Function Your Job As a Senior Data Engineer within the Transaction Banking Domain Data Store (TB DDS) team, you will help build and evolve our cloud-based data platform. You will design, develop, and operate scalable data solutions that enable data-driven decision making and support critical Transaction Banking processes. Key Responsibilities – Design, develop, and maintain scalable data pipelines and data products using Azure Databricks, PySpark, Python, and SQL. – Build and optimize data ingestion, transformation, and storage solutions for analytics, reporting, and operational use cases. – Develop and support ETL/ELT processes that integrate data from multiple sources into trusted and governed data platforms. – Design and review cloud-native solutions leveraging Azure Data Lake Storage (ADLS), Azure Functions, Databricks, and Apache Airflow. – Ensure data quality, reliability, scalability, monitoring, and operational excellence across the data ecosystem. – Implement and maintain source control, CI/CD pipelines, and deployment automation using Azure DevOps. – Collaborate closely with business and technical stakeholders to translate requirements into robust and sustainable solutions. – Enhance existing data products, optimize platform capabilities, and continuously improve engineering practices. – Troubleshoot and resolve complex production issues using strong analytical and problem-solving skills. – Contribute to data architecture, engineering standards, and best practices across the organization. – Promote innovation, knowledge sharing, and continuous improvement within the Data Engineering Chapter. – Familiar with Agile, DevOps, and DataOps principles as part of a cross-functional Scrum team. – Hybrid working with 2 days in office With the following results (SMART) – Infinity flow migration – Data Quality framework alignment – Surrogate Key Generator Requirements Your Profile You bring a strong engineering mindset, a passion for data, and a drive to continuously improve both technology and ways of working.

What We Are Looking For – Strong hands-on experience with Azure Databricks[including Unity catalog, DAB], Apache Airflow, ADLS, and Azure Functions. – Proficiency in Python (OOP), PySpark, and SQL. – Solid understanding of Apache Spark performance tuning and large-scale data processing. – Experience building and maintaining ETL/ELT pipelines and modern data integration solutions. – Experience with Git, CI/CD practices, and Azure DevOps. – Knowledge of data modelling techniques, including dimensional modelling. – Strong analytical, troubleshooting, and communication skills. – Experience working in Agile/Scrum and DevOps environments. Nice to Have – Experience with monitoring, observability, logging, and data lineage. – Familiarity with Delta Lake, Iceberg, or other modern data lake technologies. – Knowledge of data governance, metadata management, and data quality frameworks. – Azure and/or Databricks certifications. – Experience in Financial Services or Transaction Banking – Exposure to Agentic AI Information Jobs A2Z-CM +31(0)20-3337629 Application Jobs A2Z-CM +31(0)20-3337629 Apply Back to overview Your contact Information Jobs A2Z-CM +31(0)20-3337629 Vacancy number 4296

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