Lead Data Engineer (Azure & Databricks)

Harnham - Data & Analytics Recruitment
Leeds, United Kingdom
Today
£80,000 – £85,000 pa

Salary

£80,000 – £85,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Lead
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

Fantastic extra benefits

LEAD DATA ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale.

THE COMPANY:

This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

  • Developing and deploying the Lakehouse platform in Azure.
  • Owning Databricks engineering, administration and platform optimisation.
  • Designing end-to-end data platform solutions
  • Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
  • Creating and maintaining CI/CD pipelines and automated testing frameworks.
  • Developing APIs to support integration
  • Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

  • Deep expertise in Databricks, PySpark, Python and SQL.
  • Proven experience designing and delivering Lakehouse solutions.
  • Strong DevOps capabilities, including CI/CD and automated testing.
  • Experience with Infrastructure as Code and cloud automation.
  • Familiarity with monitoring, logging and alerting tools.
  • Strong stakeholder engagement and the ability to work across teams.
  • Experience with APIs and data integration methods.
  • Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Related Jobs

View all jobs

Lead Data Engineer

Searchability NS&D Gloucester, United Kingdom
£65,000 – £85,000 pa Hybrid Clearance Required

Lead Data Engineer

Edison Hill Search Lime Street, City And County Of the City Of London, United Kingdom
£90,000 – £100,000 pa Hybrid

Lead Data Engineer

Canada Life London, United Kingdom
£70,000 – £110,000 pa Hybrid

Lead Data Engineer (Azure & Databricks)

Harnham - Data & Analytics Recruitment Leeds, United Kingdom
£80,000 – £85,000 pa Remote

Lead Data Engineer (Azure & Databricks)

Harnham - Data & Analytics Recruitment Manchester, United Kingdom
£80,000 – £85,000 pa Remote

Lead Data Platform Engineer

Harnham - Data & Analytics Recruitment Liverpool, United Kingdom
£75,000 – £85,000 pa Remote

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.