Senior Data Engineer

About the role

Oyster is a global employment platform enabling companies to hire, pay, and care for talent anywhere. This Senior Data Engineer role focuses on the AI Platform, building data pipelines, services, and reusable capabilities that power AI use cases across Oyster.

What you'll do

• Design and build data pipelines and platform capabilities for AI applications and workflows.
• Maintain data and knowledge pipelines for ingestion, transformation, embeddings, retrieval, and vector search.
• Create secure, reusable access patterns for AI systems to enterprise data using APIs and tool calling.
• Develop libraries, services, and tooling to accelerate AI capability productionization.
• Apply data engineering best practices around modeling, quality, lineage, access, and governance for AI data.
• Collaborate with engineers and stakeholders to scale AI use cases from prototype to production.

What they're looking for

• 5+ years of experience in data, platform, backend, or ML engineering with production systems.
• Strong Python and SQL skills plus solid data engineering fundamentals.
• Experience with Snowflake, Databricks, and tools like dbt or Airflow.
• Hands-on experience with LLMs or generative AI and related patterns such as RAG, embeddings, or vector search.
• Experience building reusable data/platform capabilities across teams and taking systems to production with scalability and observability considerations.
• Strong communication skills and ability to collaborate across Engineering, Product, and IT.

For applicants in Nigeria

• The listing notes location as EMEA and states all Oyster roles are fully remote with candidates must be based within UTC−6 to UTC+3. Timezone alignment is required.
• Pay currency or range is not specified in the listing.
• There is no explicit visa or work-authorization detail beyond the timezone requirement; confirm during interview.