Data Engineer

Data Science Festival; Greater London; Hybrid; GBP 80,000 - 85,000; Full time

Job summary

A leading data consultancy in the United Kingdom is seeking a Data Engineer to shape and deliver modern cloud data solutions. You will lead and mentor teams while designing cloud-native architectures, modernising legacy pipelines, and ensuring data platforms are scalable and secure. This role offers a competitive salary, a strong benefits package, and opportunities for continuous training in Azure and modern data engineering. A hybrid working model is also available.

Benefits

Competitive salary

Strong benefits package

Continuous training and professional development

Clear path for career progression

Supportive and innovative working environment

Qualifications

• Proven experience leading data engineering initiatives in a cloud environment.
• Expertise in Azure Synapse Analytics including SQL pools and Spark.
• Hands-on experience with Microsoft Fabric and data engineering workloads.

Responsibilities

• Lead and mentor internal and external data engineering teams.
• Design, build, and optimise enterprise data platforms.
• Develop scalable data pipelines and implement governance standards.

Skills

Data engineering initiatives in a cloud environment

Azure Synapse Analytics (SQL pools, Spark)

Microsoft Fabric (OneLake, Lakehouse)

Strong SQL skills (T-SQL, Synapse SQL)

Python and/or Spark for big data processing

Cloud data architecture (ADLS Gen2, Delta Lake)

Data governance, security, and compliance standards

Job description

Data Engineer

Salary: £80,00 – £85,000
Location: Hybrid – London – 1 day per week

We are currently looking for a Data Engineer to join our client’s forward-thinking, collaborative, and technology-driven team. In this role, you’ll take the lead in shaping and delivering modern cloud data solutions, working closely with a highly skilled Data & BI function. Reporting into the Manager of Global Enterprise Data & BI, you’ll be hands‑on designing cloud‑native data architectures, modernising legacy pipelines, and mentoring a wider engineering team. As a Lead Data Engineer, you’ll play a critical role in ensuring the organisation’s data platforms are scalable, secure, and capable of delivering impactful insights across the business.

The Opportunity

As a Senior Data Engineer, you’ll have the chance to architect and implement cutting‑edge solutions across Azure Synapse Analytics and Microsoft Fabric, influencing the future of the company’s global data ecosystem. This role is ideal for someone who thrives in a cloud‑first environment and enjoys driving modernisation at scale.

In this role, you will:

• Lead and mentor internal and external data engineering teams to deliver best‑in‑class cloud solutions.
• Design, build, and optimise enterprise data platforms using Azure Synapse, Microsoft Fabric, OneLake, and lakehouse architectures.
• Modernise traditional ETL/ELT processes and transition workloads to cloud‑native tools.
• Develop scalable data pipelines, Spark‑based processing, and dataflows for unified analytics.
• Implement governance, security, and compliance standards across all cloud data environments.
• Collaborate with stakeholders to support high‑value analytics and Power BI initiatives.
• Produce documentation, technical designs, and support materials to enable continuous improvement.

What’s in it for you?

• Competitive salary
• Strong benefits package
• Hybrid working model
• Opportunity to own and shape a modern cloud data ecosystem
• Continuous training and professional development in Microsoft Fabric, Azure, and modern data engineering
• Clear path for career progression within a growing data organisation
• Supportive, innovative, and people‑focused working environment

Skills and Experience

• Proven experience leading data engineering initiatives in a cloud environment.
• Expertise in Azure Synapse Analytics (SQL pools, Spark, pipelines, serverless SQL).
• Hands‑on experience with Microsoft Fabric (OneLake, Lakehouse, Data Engineering/Data Science workloads).
• Strong SQL skills (T‑SQL, Synapse SQL, Lakehouse SQL).
• Experience with Python and/or Spark for big data processing.
• Knowledge of cloud data architecture (ADLS Gen2, Delta Lake, Parquet).
• Understanding of data governance, security, and compliance standards.

If you would like to be considered for the role and feel you would be an ideal fit within our client’s team, then please send your CV by clicking the Apply button below. We look forward to reviewing your application and will be in touch regarding next steps.