Data Engineer

We are scaling a major data transformation programme and hiring multiple Data Engineers at both senior and mid‑level. The team is building a modern Azure‑based data platform and needs contractors who can deliver high‑quality, production‑ready engineering at pace.

Project Overview

You will work across Databricks, Azure and Genie to build pipelines, optimise workflows and contribute to a best‑practice engineering environment. The programme moves quickly, and you will have autonomy to deliver meaningful impact from day one.

Responsibilities

• Designing and building Databricks pipelines for batch and streaming workloads

• Implementing medallion architecture using Delta Lake

• Engineering solutions across Azure Data Lake, ADF, Functions, DevOps and Key Vault

• Orchestrating workflows using Genie

• Writing clean, testable, production‑ready code

• Working closely with product and data teams to deliver efficiently

Senior Data Engineer Requirements

• Deep Databricks experience (PySpark, SQL, Delta, Workflows, DLT)

• Strong Azure engineering background

• Hands‑on Genie experience

• Ability to lead technical direction and mentor delivery pods

• Autonomous, decisive, outcome‑driven

Data Engineer Requirements

• Solid Databricks experience (SQL and PySpark)

• Good understanding of Azure data services

• Exposure to Genie or similar orchestration tools

• Strong delivery focus and ability to work independently

Contract Details

• Outside IR35

• 6‑month initial contract

• Remote with occasional on‑site if required