3 of 3 Remote/Hybrid Data Pipeline Jobs in Lancaster

Remote AWS Data Engineer

Hiring Organisation
17918
Location
Lancaster, Lancashire, United Kingdom
Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies. Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical … dynamics and corporate functions to help clients create the most value from data. Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor ...

Remote Senior Data Engineer - Financial Data Platform

Hiring Organisation
17918
Location
Lancaster, Lancashire, United Kingdom
complexity manageable and insight actionable supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium … Royalties. We create libraries and tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify s ambitions forward. We are looking for engineers who are excited to shape ...

Remote Machine Learning Engineer

Hiring Organisation
17918
Location
Lancaster, Lancashire, United Kingdom
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine s platform is strengthened by one of the fastest-growing … Engineer, you ll do more than build models - you ll design the systems that make fraud detection possible. You ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with ...