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Job Description

Senior Data Engineer - Azure Databricks

Location: Hybrid (1-2 days a week in London)

Initial 6 months contract

Overview

An established technology organisation that is now going through significant change and growth is looking for a Senior Data Engineer to help design, build, and secure a modern data platform that supports business-critical systems in regulated environments. This is a really exciting greenfield project to establish a new data platform at speed.

The Role

You’ll take ownership of the end-to-end data platform, including pipelines, governance, and security. Working closely with engineers, analysts, and stakeholders, you’ll establish scalable, repeatable data practices and help shape the future data architecture.

Key Responsibilities

Design and build end-to-end data pipelines, data lakes, and data warehouses using Azure Databricks Integrate ETL/ELT tools and cloud services for batch and real-time data processing Experience building data pipelines on-prem Define and implement standards for data modelling, orchestration, version control, and data quality (e.g. dbt, Airflow) Embed security best practices, including RBAC, encryption, masking, and regulatory compliance Collaborate with technical and non-technical stakeholders to define data requirements, SLAs, and governance frameworks Optimise data platform performance, scalability, and cost efficiency Automate monitoring, alerting, and recovery to ensure reliability and data integrity Drive adoption of DevOps practices for data, including CI/CD and infrastructure as code

About You

You’ll be someone who:

Has a security-first mindset and strong understanding of responsible data handling Is comfortable working in ambiguous environments and owning delivery end to end Thrives in fast-paced, collaborative teams Is proactive about continuous improvement and learning new data technologies Communicates clearly and shares knowledge with others

Experience & Skills

Strong experience as a Data Engineer working with modern data platforms Hands-on expertise with Azure Databricks Experience building data pipelines on-prem Proven background building and supporting production-grade data pipelines Solid understanding of data governance, security, and compliance Experience optimising distributed data systems for performance and cost

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