Future Tech Jobs Future Tech Jobs

Lead Data Engineer

Anson McCade
London, England
7 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior Data Scientist

Adria Solutions Manchester, United Kingdom
Permanent

Data Engineer, Strategic Account Services

Amazon London, United Kingdom
Permanent

Data Science Lead - Fulfilment

Ocado United Kingdom
Hybrid

Senior Data Engineer, Core Experimentation

OpenAI United Kingdom
£293,000 – £325,000 pa Hybrid

Lead Data Scientist

Technify Talent Limited United Kingdom
£80,000 – £90,000 pa Remote

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
Hybrid
Posted
17 Oct 2025 (7 months ago)
Share
Save job
Create job alert

£110,000 GBP

Remote WORKING
Type: Permanent

Job Title: Lead Data Engineer

Location: Home-based (UK) with options in Belfast, Birmingham, and London

Salary: Up to £110,000 + 5% bonus

Our client is a leading digital transformation consultancy, delivering large-scale data solutions, digital services, and AI-powered initiatives across the public and private sectors. We create real impact by solving complex problems and enabling organisations to modernise and optimise their data capabilities.

We are looking for an experienced Lead Data Engineer (Consultant) to join our Data & AI teams. This is a hands-on leadership role where you'll design and develop data-intensive systems, guide engineers, and ensure solutions are robust, scalable, and aligned with business needs.

The Role

  • Lead the design and development of data processing and persistence components handling data at scale.
  • Provide technical leadership, guiding other engineers in implementing data-intensive systems.
  • Take ownership of whole components or subsystems, from design and coding to testing and defect resolution.
  • Define and enforce development best practices, including design patterns, style guides, and operational readiness.
  • Collaborate with project architects to ensure ETL/ELT pipelines meet performance and robustness requirements.
  • Oversee standards, unit and integration testing, and software integration.
  • Support Operations and Security teams to ensure software is operationally ready and compliant with legal and security requirements.
  • Advise stakeholders on technical implications and effort estimates for user stories and journeys.
  • Contribute to technical proposals during the sales process.
  • Manage, coach, and develop a small team of engineers, focusing on performance, growth, and career development

Minimum Requirements

  • Proven experience leading teams of engineers in delivering data-intensive system components.
  • Proficient in Java, Scala, or Python.
  • Hands-on experience with data-processing platforms (Informatica, Azure Databricks, or equivalent ETL tools).
  • Expertise in SQL and analytical extensions.
  • Strong understanding of distributed data stores and processing frameworks.
  • Skilled in designing analytical and operational data models.
  • Ability to communicate complex technical design clearly, both written and verbally.
  • Experience applying standards for design, development, and operational readiness.
  • Interest in AI technologies and their application.

Desirable

  • Experience with Data Warehousing methods and techniques.
  • AWS, Azure, or GCP certifications in Data Services.
  • Engagement in data communities or sharing best practices.
  • Practical experience with AI tools, processes, and delivery.
  • Continuous improvement mindset and expertise in data best practices.

Why Join?

  • Salary: up to £110,000 + 5% bonus.
  • Impact: work on transformational public sector and enterprise projects affecting millions.
  • Growth: leadership opportunities, structured development, and exposure to cutting-edge technologies.
  • Culture: people-first, collaborative, and inclusive environment.
  • Flexibility: home-based role with optional access to offices in Belfast, Birmingham, and London.
  • Diversity & Inclusion: a workplace committed to equality, respect, and giving everyone an equal chance to thrive.

This is a unique opportunity to combine deep technical expertise with leadership, delivering systems that transform how organisations manage and use data.

Industry Insights

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

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.