Senior Data Engineer, AI & Agents

Data platforms: Databricks, Snowflake (Cortex, Genie); AWS and S3.

Pipelines and modelling: SQL, PySpark, dbt, Airflow / Databricks Workflows.

Governance and catalogue: Unity Catalogue, Horizon, Collibra.

AI and agents: MCP; vector databases and embeddings.

Foundations: Python; YAML data contracts; Apache Iceberg; Git and CI/CD.

Agent-Oriented Builder: You enjoy turning governed datasets into reliable, domain-grounded agents that business users can query with confidence.

Quality-Focused: You are rigorous about data accuracy, lineage, and observability, ensuring high standards through validation before data reaches agents or the business.

Collaborative Partner: You thrive working directly with stakeholders and subject-matter experts through iterative build, test, and validation cycles.

Governance-Minded: You understand the critical nature of data security in regulated domains and proactively apply masking and row- and column-level controls.

Forward-Thinking: You are interested in the “big picture” of lakehouse architecture and open formats, eager to advance agent-based access patterns and best practices.

Challenging and rewarding work with real impact

Direct Access to Cutting-Edge AI Platforms

Diverse and Inclusive Culture

Growth opportunities for personal and professional development

A collaborative and innovative work environment where your ideas are valued

Exposure to exciting projects and high-profile clients

Supportive work environment with access to company leaders

Hybrid working model