Senior Data Engineer

🕒 September 30

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 49 days.
• No salary listed.

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Oyster

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2020

💼 Consulting

📦 Logistics

👥 HR Tech

Consulting • Logistics • HR Tech

Oyster® is an automated global employment platform that simplifies the process of hiring and managing international talent. With coverage in 180+ countries, Oyster provides solutions for global payroll, compliance, employee benefits, and talent mobility, allowing companies to onboard and manage both full-time employees and contractors efficiently. By leveraging deep local knowledge and expert guidance, Oyster helps businesses navigate the complexities of international hiring and scaling their workforce globally.

📋 Description

• Design and build data pipelines and platform capabilities supporting AI applications, knowledge systems, and AI workflows • Build and maintain ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge-management pipelines • Develop secure, reusable access to enterprise data and systems through APIs, MCP, tool calling, and similar patterns • Build reusable services, libraries, frameworks, and developer tooling for productionizing AI capabilities • Apply data modeling, data quality, lineage, access, reliability, and governance practices to AI data and systems • Establish patterns for AI deployment, observability, evaluation, and lifecycle management • Partner with Engineering, Product, IT, and stakeholders to move AI use cases from prototype to scalable production • Ensure AI platform capabilities meet security, privacy, access-control, and data-governance requirements • Evaluate emerging AI and data technologies for potential value to Oyster

🎯 Requirements

• 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline • Experience building and operating production systems • Strong Python and SQL skills • Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access • Experience with Snowflake, Databricks, or comparable modern data platforms • Experience with dbt, Airflow, or similar tools • Hands-on experience building or supporting production systems using LLMs / generative AI • Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems • Experience building reusable data or platform capabilities across teams • Experience taking systems from experimentation to reliable production, including scalability, observability, performance, and maintainability • Understanding of security, authentication/authorization, privacy, and data governance • Ability to work across Engineering, Product, and IT to solve ambiguous AI and data problems • Reliable home internet connection, or ability to obtain one • Fluent English language skills • Must be based within UTC−6 to UTC+3 • Authorized to work where you live • Bonus: Experience with AWS Bedrock or other managed foundation-model platforms • Bonus: Experience with MCP or similar approaches • Bonus: Experience with LLM evaluation, observability, monitoring, or AI quality • Bonus: Experience with LangChain, LangGraph, vector databases, search technologies, AI security, governance, responsible AI, internal developer platforms, SDKs, APIs, reusable infrastructure, or data/AI/ML platform environments

🏖️ Benefits

• 40 days off per year (including holidays and vacation), or more if required by your country • Plumm mental well-being service • Monthly wellbeing allowance in ThanksBen wallet • At least three months’ paid parental leave for all new parents • Job protection for up to 12 months or as required locally • WFH stipend for laptop and home office equipment • Fully remote work from home • Flexible, asynchronous, collaborative work • Inclusive, global work environment

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