Lead Data Engineer

BrightBox Group Ltd
Bristol
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer, SC Clearance required, outside IR35, travel once/ twice a month to Newcastle.


Role Overview:

We are seeking a Lead Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and frameworks that support data-driven decision-making. You will work collaboratively with cross-functional teams to ensure data integrity and accessibility while providing technical leadership to junior engineers. This position is outside IR35.


Responsibilities:

- Design and develop robust data pipelines using Quantexa and Databricks.

- Collaborate with data scientists and analysts to understand data requirements and provide solutions.

- Ensure the reliability, scalability, and performance of data systems.

- Lead and mentor a team of data engineers, fostering a culture of continuous improvement.

- Manage data integration processes and maintain data quality standards.

- Implement best practises for data governance and security.

- Participate in code reviews and contribute to architectural discussions.

- Maintain up-to-date documentation for data systems and processes.


Qualifications:

- Proven experience as a Data Engineer, with a strong background in data pipeline development.

- Expertise in Quantexa and Databricks.

- Experience in leading technical teams and projects.

- Strong understanding of data modelling and ETL processes.

- SC clearance is required for this role.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

- A degree in Computer Science, Engineering, or a related field is preferred.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.