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Senior Data Engineer
DataRemote — EMEA, UTC−6 to UTC+3
Published on 2026-09-16
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About this role
Build the data and platform foundations that enable secure, production-grade AI capabilities across Oyster. The role combines data engineering, platform engineering, and applied AI, helping move AI use cases from experimentation to reliable production.
About the company
Oyster is a global employment platform that lets companies hire, pay, and manage workers in other countries through employer-of-record and related services.
The team
AI and Data Platform team, within Data Engineering.
Stack
PythonSQLAWSSnowflakedbtAirflowLLMsRAG
What you'll do
- Build data pipelines and platform capabilities for AI applications and workflows.
- Develop knowledge pipelines for ingestion, transformation, embeddings, retrieval, and vector search.
- Create secure, reusable connections between AI systems and enterprise data and tools.
- Build shared services, libraries, frameworks, and developer tooling for AI capabilities.
- Establish practices for AI deployment, observability, evaluation, and lifecycle management.
- Partner across teams to bring AI use cases from prototype to production.
What we're looking for
- 5+ years of experience building and operating production systems in a related engineering discipline.
- Strong Python, SQL, and data engineering fundamentals.
- Experience with Snowflake, Databricks, or similar platforms, and dbt, Airflow, or comparable tools.
- Hands-on experience supporting production generative AI systems.
- Practical experience with RAG, embeddings, vector search, AI agents, or tool calling.
- Experience building reusable platform capabilities and taking systems into reliable production.
- Understanding of enterprise security, authorization, privacy, and data governance.
- Fluent English and ability to work across Engineering, Product, and IT.
Nice to have
- AWS Bedrock or another managed foundation-model platform.
- MCP or similar approaches for connecting AI systems to tools and data.
- LLM evaluation, observability, monitoring, or quality experience.
- LangChain, LangGraph, vector databases, or search technologies.
- AI security, governance, or responsible AI experience.
- Internal developer platforms, SDKs, APIs, or reusable infrastructure.
Benefits
- 40 days off per year, including holidays and vacation, or more where required locally.
- At least three months of paid parental leave.
- Monthly wellbeing allowance and mental health support.
- Work-from-home equipment stipend.
- Fully remote work.