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 Data Engineer with hands-on experience in building cloud data systems. You will design and implement data pipelines that support analytics and AI across complex infrastructure programmes. Working within our Data & AI team, you will contribute to scalable, reliable data solutions whilst developing your expertise in Azure cloud technologies and modern data engineering practices.

Core Responsibilities

• Design and build data pipelines using Azure Data Factory and Synapse Analytics.
• Develop ETL/ELT workflows to ensure data quality and reliability.
• Work with data lakes and warehouses using Azure Data Lake Storage and SQL Server.
• Collaborate with analysts and data scientists to deliver robust data products.
• Implement data quality checks and monitoring processes.
• Participate in technical reviews and contribute to continuous improvement.

Technical Stack

Core:

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

Enhancements:

• Python (PySpark basics, Pandas)
• Databricks (introductory)
• Git

Desirable:

• Azure DevOps
• REST APIs
• Delta Lake
• Microsoft Fabric
• Terraform basics

What You'll Bring:

• Professional experience in data engineering or related technical roles.
• Solid understanding of ETL/ELT processes and data pipeline design.
• Hands-on experience with Azure data services and SQL.
• Growing knowledge of data architecture principles and best practices.
• Good problem-solving skills and attention to detail.
• A 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