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Data Engineer (AI / ML)

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Satalia

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Location:
United Kingdom; Greece , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal growth. You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap. Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.

Job Responsibility:

  • 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, LangGraph, Autogen
  • Model Context Protocol (MCP) for integrating agents with tools, data and AI services
  • Google's Agent2Agent (A2A) protocol for communication and collaboration between different AI agents
  • Implement and optimize 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 optimize performance
  • Participate in the creation and ongoing maintenance of documentation, including data flow diagrams, architecture diagrams, data dictionaries, data catalogues, and process documentation

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
  • Familiarity with Retrieval-Augmented Generation (RAG) applications and modern AI/LLM frameworks (e.g., LangChain, 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., PostgreSQL, MySQL) and NoSQL databases
  • Experience with a big data processing framework (e.g., Spark)

Nice to have:

  • 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 productionizing RAG systems and agentic AI workflows
  • Hands-on experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB)
What we offer:
  • enhanced pension
  • life assurance
  • income protection
  • private healthcare
  • Remote working
  • Truly flexible working hours
  • Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
  • Annual bonus
  • Impactful projects
  • People oriented culture
  • Transparent and open culture
  • Development

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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