National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Engineer

Peaple Talent
Reading
3 weeks 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 | Microsoft Fabricđź§µ | ÂŁ70,000-ÂŁ90,000


We’re working with a growing consultancy known for delivering modern, scalable data solutions. Their work sits at the intersection of strategy, engineering and innovation, empowering organisations to unlock value through cutting-edge Microsoft technologies.


As part of their continued growth, they’re now seeking aLead Data Engineerto take a pivotal role in delivering enterprise-grade data solutions, with a strong focus onMicrosoft Fabricand the wider Azure ecosystem.


What you’ll do:

  • Lead the design and implementation of data platforms powered byMicrosoft Fabric
  • Guide delivery teams through complex builds across cloud-native architectures
  • Bridge the gap between hands-on engineering and technical strategy
  • Collaborate closely with clients and internal stakeholders to translate needs into scalable solutions


What you bring:

  • Deep experience withMicrosoft Azure, particularly around data services
  • Proven track record delivering with tools such asFabric,Synapse, orDatabricks
  • Proficiency in SQL, Python, and modern data engineering patterns
  • Leadership experience within engineering or delivery teams
  • A consultancy mindset - adaptable, curious, and client focused


Location & Flexibility:

Primarily remote, with periodic team sessions in London


Why consider this?

Salary: ÂŁ70,000-ÂŁ90,000

  • Be part of one of the first waves delivering at scale onMicrosoft Fabric
  • Work in a culture that values learning, innovation, and trust
  • Access to advanced training, cloud certifications, and fast-paced career progression
National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.