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

Nominate & Attend

Lead Data Engineer

Tenth Revolution Group
Edinburgh
4 days ago
Create job alert

Lead Data Engineer - Manchester - Hybrid - £75k - £85k


This is an excellent opportunity for a highly experienced data engineer to join a growing tech consultancy and contribute to the leadership of their data engineering practice. If you are an experienced and capable data engineer with a history of using Microsoft products and working in consultancy, this is the role for you!


Salary & Benefits

  • Competitive salary of £75k - £85k
  • Performance related bonus of up to 10%
  • 27 days annual holiday, plus public holidays and your birthday off
  • Hybrid working model (2 days in office, 3 from home)
  • Pension contribution
  • Great opportunities for career progression
  • And many more


Role & Responsibilities

  • Design and deliver solutions using MS Fabric, ADF, ADL, Synapse, Databricks, SQL, and Python.
  • Work closely with a variety of clients to gather requirements and deliver solutions.
  • Be willing to engage and assist in pre-sales activities, bids, proposals etc.
  • Use key techniques such as Governance, Architecture, Data Modelling, ETL / ELT, Data Lakes, Data Warehousing, Master Data, and BI.
  • Consistently utilise key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines.
  • Assist in building out, developing, and training the data engineering function.

What do I need to apply

  • Strong MS data engineering expertise (Fabric, ADF, ADL, Synapse, SQL)
  • Expert use of Databricks
  • Strong Python experience
  • Consultancy experience
  • Leadership experience


My client are looking to book in first stage interviews for next week and slots are already filling up fast. I have limited slots for 1st stage interviews next week so if you’re interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at or you can call me on .


Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.


TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

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.