Job Description

Senior Data Engineer | Hybrid | Outside IR35 | £475 - £525 | London

We are looking for a Senior Data Engineer to join a leading organisation on a contract basis. This role will suit someone with strong experience across the Azure data platform, particularly Databricks and PySpark, who can take ownership of data engineering delivery from design through to implementation. This is a hybrid role requiring the candidate to be on site 2 days per month.

You will be working on building and enhancing modern data platforms, delivering scalable data pipelines, and supporting high-volume data processing in a cloud environment.

Key Responsibilities

Design and build scalable data pipelines using Azure technologies

Develop and optimise solutions in Databricks using PySpark

Work with large and complex datasets, including streaming and batch data

Build and maintain data platforms and data warehouses

Implement ETL/ELT processes and data transformation logic

Collaborate with stakeholders across engineering, analytics, and business teamsRequired Experience

Strong experience as a Senior Data Engineer

Expertise in Azure (ADF, Data Lake, Synapse/Fabric)

Hands-on experience with Databricks and PySpark (essential)

Experience building data pipelines and data platforms

Strong SQL and Python skills

Experience in the financial sector is beneficial but no essential 

If this is a role that suits your skillset and you are available at short notice then please apply for the job role directly or send me your most recent and up to date CV to (url removed)