Senior Consultant Data Engineer

Job Description

At [Employer hidden — view at passion-project.co.uk], we understand that project delivery is getting increasingly complex. Since 2013, we’ve been helping companies of all sizes improve the way projects are delivered.

Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals—all seeking to improve the way projects are delivered.

Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery.

We’re proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024.

Why Join [Employer hidden]?

[Employer hidden] is in an exciting period of growth, and there’s never been a better time to be part of our journey. We’re building something special—scaling our business while staying true to our people-first approach.

At [Employer hidden], we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we’re keen to build a team that is as ambitious as we are.

Our IDEAL Values:

- Integrity – We do the right thing, always.

- Drive – We push boundaries and strive for excellence.

- Empathy – We care deeply about our people and clients.

- Adaptability – We embrace change and thrive in it.

- Loyalty – We stand by each other and our mission.

Job Summary

About the Role

[Employer hidden] is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems. You will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will underpin [Employer hidden]'s mission to enable 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 [Employer hidden]'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
• Actions

Desirable:

• Microsoft Fabric
• Delta Live Tables
• Power BI dataset automation
• DataOps practices

What You'll Bring

- Professional experience in data engineering or cloud data development.

- Solid understanding of data architecture, APIs, and modern data pipeline design.

- Strong experience within Microsoft's Azure ecosystem, combined with a drive to explore Fabric, AI-enhanced ETL, and real-time data streaming.

- Demonstrated ability to lead technical workstreams and mentor junior colleagues.

- A deep commitment to [Employer hidden]'s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty.

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Phone: +44(0)2035 763 880 Email: [contact hidden]

Office Address: Unit 3 Knot House, 6 Brewery Square, London SE1 2LF

[Employer hidden] Group Limited is registered in England and Wales number: 08603258 VAT No: GB 168982251

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