Data Engineer – Snowflake & AI

About the role

We are seeking a Data Engineer with strong Snowflake and AI expertise to join our global data and analytics team. You will help design, develop, and optimise modern data platforms while leveraging generative AI technologies to deliver intelligent, data‑driven solutions.

Key responsibilities

• Develop and maintain scalable ETL/ELT pipelines on Snowflake.
• Design and optimise data models, data warehouses, and SQL‑based processing workflows.
• Collaborate with data architects, business stakeholders, and engineering teams to translate requirements into robust data solutions.
• Build and enhance data applications using Python and AWS cloud services.
• Integrate generative AI, LLMs, RAG, and embeddings to create intelligent data products.
• Incorporate AI APIs and frameworks such as LangChain into enterprise platforms.

Required profile

• 2‑5 years of hands‑on data engineering experience.
• Strong expertise with Snowflake, SQL, and data‑warehousing concepts.
• Proficiency in Python and exposure to AWS services.
• Knowledge of generative AI, large language models, RAG, and embeddings.
• Experience with LangChain or similar AI integration frameworks.
• Excellent communication and stakeholder‑management skills.

Required skills

• Snowflake
• SQL
• ETL/ELT processes
• Data warehousing
• Python
• AWS cloud services
• Generative AI
• Large Language Models (LLMs)
• RAG and embeddings
• LangChain

What we offer

• Diverse portfolio of clients and technologies.
• Employment stability and remote‑work opportunities.
• Contracts with leading brands and Great Place to Work Europe recognition.
• Access to many experts and an open, accessible management team.