Azure Data Engineer
As a preferred supplier to one of our biggest Financial Client, I am seeking for Azure Data Engineer for a position in Amsterdam, Netherlands. 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
Requirement
- 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
Contract: 12+ month
Rates: Excellent
Location: Amsterdam
Interview: 2 stages
Nick Chinweerapunt
Account Manager
Gazelle Global Consulting
Tel +31 85 111 0171
Tel +44 203 588 7747
Mob +44 7377 403 773
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