Senior Data Engineer

Senior Data Engineer – Design the Future of Our Data Platform - 18 month Fixed Term Contract

Ready to lead, influence, and build at scale?

If you’re an experienced Data Engineer who thrives on solving complex problems, shaping architecture, and raising engineering standards, this is a role where your impact will be felt across the entire business.

As a Senior Data Engineer, you’ll design and deliver high‑quality, governed data products on our Databricks Lakehouse platform. Blending hands‑on engineering with architectural thinking, you’ll help define how data is built, optimised, and consumed - today and in the future.

What You’ll Be Doing

You’ll take ownership of complex data pipelines and platform components, ensuring solutions are scalable, maintainable, and aligned with enterprise governance.

Working closely with architects, analysts, and business stakeholders, you’ll translate requirements into robust data designs, while also mentoring junior engineers and contributing to shared standards, frameworks, and best practices.

This role is central to how we evolve our data platform — from ingestion and modelling through to quality, observability, and cost‑efficient performance.

Responsibilities

• Design and implement complex ETL/ELT pipelines using Databricks (Python, SQL, DLT).
• Build and optimise Delta Lake tables with effective partitioning and performance strategies.
• Contribute to Lakehouse architecture design, ingestion patterns, and data product boundaries.
• Ensure solutions align with governance, security, and lineage standards (Unity Catalog).
• Implement automated data quality testing, monitoring, and observability.
• Optimise cluster usage, job orchestration, and cost efficiency.
• Provide technical leadership and mentoring to other engineers.
• Drive continuous improvement through reusable components, frameworks, and innovation.

Interested? Here’s What You’ll Need to Be Successful

• Strong experience as a Senior Data Engineer in modern data environments.
• Deep expertise in Databricks, Spark, Delta Lake, and Lakehouse architectures.
• Proven ability to design scalable, modular, and maintainable data solutions.
• Experience working in cloud platforms (Azure preferred).
• Solid understanding of data governance, metadata, and quality frameworks.
• Confidence influencing stakeholders and translating complex requirements into solutions.
• A pragmatic, delivery‑focused mindset with a passion for engineering excellence.

At Evri, our data ambitions are big - and so is the opportunity to shape how we get there.

We are Evri. Where everyone is welcome.

Let’s engineer the future together.