Lead Data Engineer - Manchester - Hybrid - £75k - £80k

Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer (AWS & Snowflake)

Senor / Lead Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Lead Data Engineer - Manchester - Hybrid - £75k - £80k

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 - £80k
Performance related bonus of up to 10%
27 days annual holiday, plus public holidays and your birthday off
Hybrid working model (1-2 days in office)
Pension contribution
Great opportunities for career progression
And many moreRole & 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 (url removed) or you can call me on (phone number removed).

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 (url removed)

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.