We are looking for a Senior Data Engineer who shares our values of software craftsmanship, pragmatism, professionalism. You understand that data engineering is, at its core, great software engineering, applied at scale, with rigour, and with production in mind.

This is not a standalone data role. You will work as part of our software delivery teams, helping clients build production-grade data foundations in  broader modernisation, platform, data, and AI-readiness engagements. Databricks is our primary data engineering platform, and you will be expected to use it fluently; but the goal is always durable, well-crafted data systems, not tool advocacy.

Requirements

Current or recent experience:
Data Engineer, Senior Data Engineer, Data Platform Engineer, or Databricks Engineer role.

Essential – Databricks in production
Hands-on experience with Databricks in production, including Delta Lake, Spark/PySpark, Unity Catalog, or production lakehouse projects.

Essential – Strong software engineering practices
Strong experience with Python, testing, Git, CI/CD, code review, deployment, or Infrastructure as Code.

Essential – Builds and operates reliable pipelines
Experience with data quality, orchestration, monitoring, lineage, schema evolution, or data contracts.

Essential – Consulting and collaboration
Experience with client delivery, stakeholder engagement, modernisation projects, mentoring, or working across engineering teams.

Preferred – Cloud
Experience with AWS or Azure.
Either cloud is acceptable for the role.

Differentiator – Data for production ML/AI
Experience with ML/AI feature pipelines, MLflow, model lineage, embeddings, vector search, retrieval, or evaluation datasets.