Senior Data Engineer

WRK DIGITAL; Leeds; Hybrid; GBP 55,000 - 65,000; Full time

Job summary

A leading consultancy firm in the UK is seeking an experienced Senior Data Engineer to contribute to a cloud-first data strategy. In this role, you will design and deliver robust data pipelines using Azure and Databricks, collaborating with data scientists and stakeholders in an agile setting. You will also mentor others and enhance modern data architecture. The role offers a salary between £55,000 and £65,000 with excellent benefits in a hybrid work environment.

Benefits

Excellent Benefits

Qualifications

• Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
• Experience in designing and delivering data pipelines.
• Ability to mentor and guide team members.

Responsibilities

• Design and deliver robust data pipelines using Azure and Databricks.
• Collaborate with data scientists and stakeholders in an agile environment.
• Contribute to modern data architecture and shape best practices.

Skills

Azure Databricks

Data Lake Storage

Data Factory

Python

SQL

Spark

Agile methods

Job description

Job Details

• Senior Data Engineer
• Location: Leeds, West Yorkshire (Hybrid 2 days per week)
• Employment Type: Permanent
• Status: Actively Hiring
• Salary: £55,000-£65,000 + Excellent Benefits

WRK digital is excited to be partnering exclusively with a high-profile, UK-leading organisation, currently shortlisting for a Senior Data Engineer on a permanent basis.

This role sits at the heart of a cloud-first data strategy, helping to build scalable, secure, and high-quality data platforms that support critical, real-world decision‑making.

As a Senior Data Engineer, you’ll design and deliver robust data pipelines using Azure, Databricks, Python, SQL, and Spark, working closely with data scientists, analysts, and stakeholders in an agile environment. You’ll also play a key role in mentoring others, shaping best practice, and contributing to the evolution of modern data architecture.

Key Experience

Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.