Data Engineer

Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal assistant that uses hosted APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

• Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
• Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
• Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
• Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
• Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

• 8+ years of hands‑on experience in Data Science and 2+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
• Strong programming skills in languages such as Python and familiarity building ETL pipelines.
• Expertise in SQL and experience with both relational (preferably Postgres) and No
  
  SQL databases
• Solid experience with Open Search
• Familiarity with AWS cloud platform and its services.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Ability to build scalable infrastructure to embed and search very large number of documents.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
• Expertise in ML
• Strong English skills (B2 and higher)
• Strong verbal and written communication skills.
• Ability to work independently and collaborate in a group.

• Agile certification
• Oracle/Microsoft attestations and certifications
• Domain knowledge - Trading and Capital Markets