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

Apply Now

Lead Data Engineer

Birmingham
9 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

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.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective 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.