National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Engineer

Primus
London
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

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 aLead Data Engineerto 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.


What We’re Looking For


Essential Skills & Experience


  • 8+ years in data engineering, with at least 2+ in atechnical leadershiprole
  • Proven experience designing and leadingDatabricks-baseddata platforms
  • Deep understanding of themedallion architecture, data lakehouse design, and transformation workflows
  • Hands-on expertise withDLT,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 inphysical asset-heavy industries(e.g. utilities, manufacturing, aviation)
  • Familiarity withplatform and DevOps collaboration, especially onAWS or Azure
  • Certifications in Databricks or cloud platforms (AWS/Azure)
  • Background in consulting or client delivery environments


Why Join Us?

  • Join a consultancy that’sdoubling down on Databrickswith enterprise-grade delivery
  • Be the go-to technical leader on projects with real-world business impact
  • Shape the future of ourDatabricks workforce strategyand delivery model
  • Career progression intoDelivery Lead,Practice Lead, orPre-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.

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.