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W3Global Linkedin · Posted yesterday

Cloud Data Engineer

Switzerland

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Indexed description

Please share only EU/Swiss Nationals or with Valid B/C Work Permits.

Job Description

  • Participate in and manage the Record Keeping project, which aims to provide an overall view of the order lifecycle across multiple trading systems and to ingest large volumes of data.
  • Design and implement cloud-based data pipelines.
  • Enhance the team's infrastructure with new tools to effectively track and monitor data architecture, workflows, and analytics processes.

Your profile

  • At least 5 years of professional experience in designing, building and operating cloud‑based data solutions.
  • Proven hands‑on experience with:
    • Data processing: Spark / PySpark, DuckDB, Python.
    • Cloud services: AWS (e.g. Glue, S3, Lambda, EMR) or another major cloud provider.
    • Data management: open table formats (e.g. Apache Iceberg) and data lake / data warehouse architectures.
    • Development & lifecycle tools: Git, CI/CD (e.g. GitLab CI, GitHub Actions), infrastructure as code (e.g. Terraform, CloudFormation), schema/versioning tools (e.g. Liquibase), and DevOps/DataOps practices.
  • Experience with streaming and messaging technologies (e.g. Kafka, Kinesis, SNS/SQS) is a plus.
  • Familiarity with FIX and trading‑related data models would be a strong advantage.
  • Keen interest in the trading and financial markets.
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