Senior Data Engineer – Contract

Codurance

Contract Senior Data Engineer working on crafting data systems at Codurance. Collaborating with various stakeholders to ensure quality data engineering practices and production readiness.

Posted 6/22/2026contractLondon • 🇬🇧 United KingdomSenior💰 £600 per dayWebsite

Tech Stack

Tools & technologies

ApacheSparkUnity

About the role

Key responsibilities & impact

Work on building durable, well-crafted data systems using Databricks.
Collaborate with software engineers, data scientists, business analysts, and client stakeholders.
Apply software engineering disciplines to data, ensuring quality and testability.
Maintain production readiness of data systems through effective monitoring and validation.
Participate in data engineering engagements including Data Foundations, Data Modernisation, and AI-Ready Data Enablement.

Requirements

What you’ll need

You consider yourself a data engineer with strong software engineering instincts.
You care deeply about the quality, testability, and operability of what you build, not just whether it runs.
You are comfortable working in small increments, tightening feedback loops, and letting tests inform your pipeline design.
You understand that data systems live in production long after they are first delivered, and you build with that in mind.
You are a team player who values frequent collaboration with software engineers, data scientists, business analysts and client stakeholders alike.
You invest in your craft, stay curious about emerging tooling, and are enthusiastic about sharing what you learn.
You have solid experience applying software engineering disciplines to data: writing testable pipelines, using version control rigorously, and treating data models as first-class software artefacts.
You are familiar with data contracts, schema evolution, and the principles of incremental delivery applied to data work.
You have hands-on experience with Databricks and are comfortable across its core capabilities: Delta Lake, Unity Catalog, Databricks Workflows, and notebook-to-production pipeline patterns.
You have a working understanding of lakehouse architecture and medallion design.
Beyond Databricks, you are familiar with the broader data engineering landscape; tools such as dbt, Apache Spark, and data quality frameworks and know when to reach for them.
You understand how machine learning and AI systems consume data, and you build the pipelines that feed them to production.
You are comfortable with engineering reproducible feature pipelines, managing feature tables in Unity Catalog, and using MLflow for experiment tracking and model registry so that training data and model lineage stay traceable.
You can articulate trade-offs clearly to clients and colleagues.

Benefits

Comp & perks

*Everyone should have the right to bring their whole self to work and be celebrated for who they are. Our people are hired purely on their commitment to these values and their ambition to deliver outstanding results for our clients. Codurance is proud to be an Equal Opportunities Employer and is committed to fostering an inclusive workplace.*

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Hard Skills & Tools

data engineeringsoftware engineeringtestable pipelinesversion controldata modelslakehouse architecturemedallion designfeature pipelinesdata contractsschema evolution

Soft Skills

collaborationteam playercuriosityenthusiasmcommunicationquality focustestabilityoperabilityincremental deliverytrade-off articulation