Data Engineer; AI​/ML

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.

Satalia, a WPP company, pushes the boundaries of data science, optimisation and artificial intelligence to solve complex industry problems. We are a community of individuals devoted to diverse projects, allowing you to flex your technical skills while working with a tight‑knit team of high‑performing colleagues.

Data Engineer (AI / ML). Permanent.

Location:

UK or Greece. Preferred start date: ASAP.

We are investing massively in developing next‑generation AI tools for multimodal datasets and a wide range of applications. We build large‑scale, enterprise‑grade solutions for FTSE 100 clients. As a member of our team, you will collaborate with world‑class talent and shape cutting‑edge AI products and services.

• Collaborate closely with data scientists, architects, and other stakeholders to understand and break down business requirements.
• Collaborate on schema design, data contracts, and architecture decisions, ensuring alignment with AI/ML needs.
• Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it.
• Leverage cloud‑native tools (GCP / AWS / Azure) for orchestrating data pipelines, AI inference workloads, and scalable data services.
• Develop and maintain APIs for data services and serving model predictions.
• Support the development, evaluation and productionisation of agentic systems with:
  • LLM‑powered features and prompt engineering
  • Retrieval‑Augmented Generation (RAG) pipelines
  • Multimodal vector embeddings and vector stores
  • Agent development frameworks: ADK, Lang Graph, Autogen
  • Model Context Protocol (MCP) for integrating agents with tools, data and AI services
  • Google's Agent2
    
    Agent (A2A) protocol for communication and collaboration between different AI agents
• Implement and optimise data transformations and ETL/ELT processes, using appropriate data engineering tools.
• Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently.
• Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimise performance.
• Participate in the creation and ongoing maintenance of documentation, including data flow diagrams, architecture diagrams, data dictionaries, data catalogues, and process documentation.

• 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 containerisation technologies such as Docker and Kubernetes.
• Familiarity with Retrieval‑Augmented Generation (RAG) applications and modern AI/LLM frameworks (e.g., Lang Chain, Haystack, Google GenAI, etc.).
• Demonstrable experience designing, 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., Postgre
  
  SQL, MySQL) and No
  
  SQL 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.
• Hands‑on experience designing, building, evaluating, and product ionising RAG systems and agentic AI workflows.
• Hands‑on experience with vector databases (e.g., Pinecone, Weaviate, Chroma
  
  DB).

• Benefits – enhanced pension, life assurance, income protection, private healthcare.
• Remote working – cafe, bedroom, beach – wherever works.
• Truly flexible working hours – school pick‑up, volunteering, gym.
• Generous Leave – 27 days holiday plus bank holidays and enhanced family leave.
• Annual bonus – when Satalia does well, we all do well.
• Impac…