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

Apply Now

Lead Data Engineer

Anson McCade
London
4 days 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

£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.

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.