As a Senior Azure Data Engineer you will be working for our client, a global financial technology leader that provides infrastructure and services for capital markets, payments, and financial information management. You will be part of a high-impact cloud modernization program aimed at migrating legacy Cloudera and Hadoop-based data environments to a cutting-edge Azure ecosystem. This project focuses on rebuilding data architectures to enable scalable BI analytics, regulatory reporting, and metadata-driven automation across multiple geographies, while maintaining strict data governance and performance standards.
Warsaw based opportunity with a hybrid work model - 2-3 day/week in the office.
responsibilities :
Lead the migration of on-premises Cloudera and Hadoop data platforms to Azure Databricks
Design and implement scalable ETL/ELT frameworks based on medallion architecture principles
Develop metadata-driven data ingestion, transformation, and quality validation pipelines
Automate deployment and orchestration using CI/CD pipelines and DevOps tools
Collaborate with business and IT stakeholders to translate data requirements into robust technical solutions
Optimize and refactor Spark and PySpark code to improve performance and cost efficiency
Ensure data security, compliance, and governance across all data layers
Mentor and guide data engineers in best practices for data lakehouse development
Support end-to-end delivery from data ingestion to BI and API publication
Drive innovation by identifying opportunities for automation and platform improvement
requirements-expected :
Proven experience in large-scale data platform migration and modernization projects
Deep expertise in Azure Databricks, Delta Lake, and Azure Data Factory
Strong programming skills in Python, PySpark, and SQL
Hands-on experience with CI/CD pipelines using Azure DevOps, GitHub, or Jenkins
Solid understanding of medallion architecture and metadata-driven data engineering
Familiarity with orchestration tools such as Airflow or Azure Data Factory
Strong knowledge of data governance, lineage, and regulatory compliance frameworks
Excellent analytical and problem-solving abilities in complex data environments
Ability to collaborate effectively with cross-functional and business teams
A degree in Computer Science, Engineering, or a related technical discipline
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
