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