Senior Data Engineer

London
1 month ago
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Company Overview

We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered.

Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery.

Why Join Our Client?

Our client is currently in an exciting phase of growth, making this an excellent time to join their journey.

They are building something special-scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation.

Their culture sets them apart from other consulting practices, and they are looking to build a team that is equally ambitious.

Position Overview

Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems.

In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries.

Core Responsibilities

Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks
Develop and maintain ETL/ELT workflows to ensure high data quality and reliability
Collaborate with analysts and AI engineers to deliver robust and reusable data products
Manage data lakes and warehouses using formats such as Delta Lake and Parquet
Implement best practices for data governance, performance, and security
Continuously evaluate and adopt new technologies to evolve the organisation's data platform
Provide technical guidance to junior engineers and contribute to team capability building

Technical Stack

Core:

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage Gen2
SQL Server
Databricks

Enhancements:

Python (PySpark, Pandas)
CI/CD (Azure DevOps)
Infrastructure as Code (Terraform, Bicep)
REST APIs
GitHub
ActionsDesirable:

Microsoft Fabric
Delta Live Tables
Power BI dataset automation
DataOps practices

What You'll Bring

Professional experience in data engineering or cloud data development
Strong understanding of data architecture, APIs, and modern data pipeline design
Hands-on experience within Microsoft's Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming
Proven ability to lead technical workstreams and mentor junior team members
A strong alignment with the organisation's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty

Ready to Apply?

This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries.

If you're looking to take the next step in your career within a collaborative and innovative environment, we'd love to hear from you

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