Senior Data Engineer

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

Job summary

A forward-thinking technology company is seeking a Lead Data Engineer to drive modern cloud data solutions. In this role, you’ll lead teams in designing and optimising data platforms, implementing cutting-edge technology on Azure Synapse Analytics and Microsoft Fabric. The ideal candidate will have a strong background in cloud data architecture and experience with data governance standards. This hybrid position offers a competitive salary, professional development, and a focus on innovation within a supportive work environment.

Benefits

Competitive salary

Strong benefits package

Opportunity for career progression

Continuous training and professional development

Qualifications

• Proven experience leading data engineering initiatives in a cloud environment.
• Expertise in Azure Synapse Analytics and Microsoft Fabric.
• Strong SQL skills and experience with Python/Spark.

Responsibilities

• Lead and mentor data engineering teams.
• Design and build enterprise data platforms.
• Modernise ETL processes and transition to cloud tools.
• Develop scalable data pipelines for analytics.
• Ensure governance and security standards in cloud environments.
• Collaborate on analytics initiatives using Power BI.

Skills

Leading data engineering initiatives

Azure Synapse Analytics

Microsoft Fabric

SQL skills

Python/Spark for big data processing

Cloud data architecture knowledge

Understanding of data governance

Tools

Azure Synapse

Microsoft Fabric

Spark

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.