Data Engineer, Finance

原始資料於 2026-11-04T15:06:11.619281+00:00 查閱；內容可能已更新，請查看原始職位。

About You
You will be a practical, analytical data engineer who combines strong software engineering skills with an understanding of Finance processes and controls. You can work with varied data sources, investigate discrepancies and explain the cause of a P&L or cash break clearly. You take ownership of the reliability of the jobs you build and look for opportunities to simplify and automate manual processes.
As a result, we believe the following experiences and skills are essential for application:
Strong Python development skills, including experience with Pandas and/or Polars, NumPy, and automated testing with pytest.
Hands-on experience building AWS serverless ETL pipelines, using services such as Lambda, EventBridge, ECS/Fargate, DynamoDB, CloudWatch and S3.
Experience with AWS Cloud Development Kit (CDK), infrastructure as code and CI/CD pipelines.
Experience building APIs using Python frameworks, preferably FastAPI.
Strong SQL skills, including the ability to query, transform, validate and reconcile data.
Experience ingesting external files and data feeds, including SFTP transfers and formats such as CSV and XML.
Good understanding of Finance processes and data, with the analytical skills to investigate and clearly explain a P&L or cash break.
A disciplined approach to testing, monitoring, reconciliation and control design, including checks for completeness, duplicates and exceptions.
Strong problem-solving skills and attention to detail, with the ability to trace issues across systems and data pipelines.
Clear communication skills and the ability to work effectively with Finance and technical stakeholders.
The following experience is not required, but highly desirable for this role:
Experience using Kafka from Python.
Experience integrating with SAP or treasury systems.
Exposure to trading data, including positions and P&L.
Familiarity with dbt and/or Airflow.