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

Apply Now

Lead Data Engineer

Birmingham
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Reigate

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Databricks

Salary: £70-£95k (Dependant on Experience)

Location: Can be based anywhere in the UK (Largely remote, must be willing to travel weekly)

Are you an experienced Data Engineer with a passion for leading teams and delivering high-quality solutions?

We are looking for a Lead Data Engineer to join our dynamic consultancy customer.

This role is perfect for someone with a strong technical background in Databricks and Azure Analytics, combined with excellent leadership skills.

Key Responsibilities:

  • Databricks Expertise: Implement and optimize workloads in Databricks, with a full understanding of features, access controls, security, and networking. Experience with Unity Catalog is essential.

  • Team Leadership: Lead and mentor a team of internal and client engineers, setting high standards in coding, performance, and solution design.

  • Solution Architecture: Design and implement scalable data solutions using Azure Data Factory, Storage, Key Vault, Databricks, and/or Fabric Engineering.

  • Customer Engagement: Communicate complex technical solutions to non-technical stakeholders with clarity and confidence.

  • Technical Community Presence: Stay active in the data engineering community by contributing to events, blogs, or open-source initiatives.

  • On-Site Collaboration: Willingness to travel to client sites one day per week (expenses covered).

    Required Skills & Experience:

  • Expert-level proficiency in Python and Apache Spark.

  • Proven experience in Databricks, with a strong understanding of Unity Catalog, ingestion methods, and CI/CD.

  • Strong hands-on experience with Azure Data Factory, Key Vault, Storage, networking concepts, and Databricks (Microsoft Fabric a plus!)

  • Leadership experience with the ability to shape best practices and develop engineering teams.

  • Excellent communication and stakeholder management skills, able to bridge the gap between technical and non-technical audiences.

  • Ability to lead and run projects, and engage with key business stakeholders externally and internally.

    Join a team that values innovation, collaboration, and professional growth.

    Apply now to take the next step in your career

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.

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.

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.

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.