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.
Skills Required
- Current or recent experience as a Data Engineer, Senior Data Engineer, Data Platform Engineer, or Databricks Engineer
- Hands-on Databricks experience in production
- Experience with Delta Lake, Spark or PySpark, Unity Catalog, or production lakehouse projects
- Strong Python experience
- Experience with testing, Git, CI/CD, code review, deployment, or Infrastructure as Code
- Experience building and operating reliable data pipelines
- Experience with data quality, orchestration, monitoring, lineage, schema evolution, or data contracts
- Experience with client delivery, stakeholder engagement, modernization projects, mentoring, or cross-engineering collaboration
- Experience with AWS or Azure
- Experience with ML or AI feature pipelines, MLflow, model lineage, embeddings, vector search, retrieval, or evaluation datasets
What We Do
Codurance is a global software consultancy that helps businesses build a better sustainable technical capability to support growth via Software Modernisation, Product Development, Feature Delivery and Platform Engineering. We believe that productive partnerships, collaboration, fast feedback, and small iterations are the best way to deliver successful software projects, using Agile methodologies and Extreme Programming practices, like Test-Driven Development, Simple Design, Pair-Programming and Continuous Integration, in all our projects. We are software craftspeople, passionate about our profession, collaborating with our clients, to help them move into the next stage of growth. Remember to follow us on Twitter (https://twitter.com/codurance) and subscribe to our YouTube channel (https://youtube.com/c/codurance)
