Data Engineer (AI / ML)

Satalia is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues. We offer truly flexible working and allow our employees to find the working practice that makes them most productive.

Requirements

• High proficiency in Python and SQL
• Strong knowledge of data structures, data modelling, and database operation
• Proven hands-on experience building and deploying data solutions on a major cloud platform (AWS, GCP, or Azure)
• Familiarity with containerization technologies such as Docker and Kubernetes
• Demonstrable experience building, implementing, and optimizing robust data pipelines for performance, reliability, and cost-effectiveness in a cloud-native environment
• Experience in supporting data science workloads and working with both structured and unstructured data
• Experience working with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases
• Experience with a big data processing framework (e.g., Spark)
• API Development: Experience building and deploying scalable and secure API services using a framework like FastAPI, Flask, or similar
• Experience partnering with data scientists to automate pipelines for model training, evaluation, and inference, contributing to a robust MLOps cycle
• Experience or familiarity with Retrieval-Augmented Generation (RAG) applications and modern AI/LLM frameworks (e.g., LangChain, Haystack, Google GenAI, etc.)
• Hands-on experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB)

Benefits

• Enhanced pension
• Life assurance
• Income protection
• Private healthcare
• 27 days holiday plus bank holidays and enhanced family leave
• Annual bonus