Senior Data Engineer

Job Type

1 year fixed term contract with an extension possibility

Join a dynamic team shaping the future of financial services by building and maintaining modern data platforms. This role involves collaborating with business and technology partners to deliver impactful solutions, leveraging cutting-edge tools and technologies. You will contribute to the architectural design, development, and maintenance of data platforms, ensuring performance, stability, and alignment with business needs.

• Architect and develop: contribute to the platform’s architectural design and build integration, modeling, data persistence, and analytical systems.
• Build and maintain data pipelines: implement, maintain, and test robust data pipelines.
• Metadata management: develop and manage metadata processes and tools.
• Performance monitoring: ensure the stability and performance of data pipelines.
• Data quality: implement tools for data curation, metadata management, and quality assurance.
• Collaboration:
  
  engage with business and technology teams to align the platform with organizational goals.

• Programming: 10+ years of experience in Java and Python development.
• Cloud expertise: strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).
• Data platforms: hands‑on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.
• Workflow orchestration: exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.
• Data services: familiarity with AWS Glue, Lake Formation, EMR, Event Bridge, Athena, and similar services.
• Metadata tools: experience with tools like Amundsen, Atlas, Data Hub, Open Data Discovery , or Marquez.
• RDBMS: knowledge of PostgreSQL is a plus.
• Industry experience: proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.