Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Engineer

Holborn and Covent Garden
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer - Reigate

Lead Data Engineer

Lead Data Engineer in Liverpool - Quantexa

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer ( Databricks )
London - Hybrid - Remote
Permanent
£100,000 - £130,000 plus up to 20% bonus based on performance and commercial contribution

About the Role

We’re looking for a Lead Data Engineer to spearhead some of our clients most strategic Databricks engagements.

This is a senior client-facing leadership role, blending hands-on technical delivery with architectural design and pre-sales influence.

You'll be leading high-performing squads, guiding complex transformations, and working directly with senior stakeholders to bridge business needs and engineering excellence — particularly in industries like manufacturing, utilities, and aviation.

This is a key hire to support our clients expanding Databricks practice, to build capacity for future growth.

What You’ll Be Doing

  • Act as the technical lead on client engagements, owning design and delivery of data solutions in Databricks.

  • Architect robust, scalable data platforms using the medallion architecture.

  • Translate business requirements into scalable workflows, advising on data governance, quality, and security.

  • Design and implement complex data pipelines using tools like Delta Live Tables (DLT) and Unity Catalog.

  • Guide teams in implementing best practices across engineering, DevOps, and model deployment.

  • Support pre-sales activity, including shaping proposals, estimates, and technical roadmaps.

  • Provide technical leadership, mentorship, and oversight to squads of Senior and Associate Engineers.

  • Collaborate closely with Platform Engineers and Platform Architects to align infrastructure with data needs.

  • Contribute to growing the Databricks capability – from delivery frameworks to internal tooling and capability development.

  • Lead a team of data engineers, fostering a collaborative and growth-oriented environment.

  • Evaluate new data engineering technologies and strategies, assessing their relevance and fit for the organisation’s strategic goals.

  • Work closely with the commercial team to scope projects and develop proposals that align technical capabilities with client requirements.

    Essential Skills & Experience

  • 8+ years in data engineering, with at least 2+ in a technical leadership role

  • Proven experience designing and leading Databricks-based data platforms

  • Deep understanding of the medallion architecture, data lakehouse design, and transformation workflows

  • Hands-on expertise with DLT, Unity Catalog, and model deployment frameworks

  • Strong communication and consulting skills – able to lead client conversations and manage stakeholders

  • Experience in agile delivery environments and cross-functional teams

  • Commercial awareness – comfortable contributing to pre-sales, growing accounts, and engaging with commercial targets

    Desirable Skills

  • Experience in physical asset-heavy industries (e.g. utilities, manufacturing, aviation)

  • Familiarity with platform and DevOps collaboration, especially on AWS or Azure

  • Certifications in Databricks or cloud platforms (AWS/Azure)

  • Background in consulting or client delivery environments

    Why Join?

  • Join a consultancy that’s doubling down on Databricks with enterprise-grade delivery

  • Be the go-to technical leader on projects with real-world business impact

  • Shape the future of our Databricks workforce strategy and delivery model

  • Career progression into Delivery Lead, Practice Lead, or Pre-Sales Specialist

  • Competitive compensation and strong bonus structure, aligned with delivery and commercial impact

    To find out more about this high profile Lead Data Engineering position, click apply

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.