Impactive IT
Lead Data Engineer

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Role: Lead Data Engineer
🏠Location: Hybrid, nearby to one of their offices in Leeds/Manchester/London
đź’° Salary: Up to ÂŁ80,000
🚨 Lead Data Engineer | Global Consultancy | Microsoft Fabric
Impactive are excited to be supporting a global consultancy who are looking to hire a Lead Data Engineer to take ownership of their data engineering capability and help shape the future of their enterprise data platform.
This is a genuinely hands-on leadership opportunity, managing a team of 3-4 Data Engineers while remaining technically involved and making key decisions around architecture, engineering standards, and technology.
You’ll be responsible for the evolution of a modern data platform, working across Microsoft Fabric, data pipelines, data modelling, integration, governance, and engineering best practice, whilst helping build the foundations for increasingly advanced analytics, AI, and digital use cases.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you’ll be doing:
- Lead and mentor a team of 3–4 Data Engineers
- Own the design and evolution of the enterprise data platform
- Make technical decisions around architecture, tooling, and engineering approaches
- Oversee data pipelines, transformations, and analytical datasets
- Drive modern architecture including Lakehouse, Medallion, and Data Product approaches
- Establish strong engineering practices across CI/CD, testing, version control, and automation
- Champion data quality, governance, monitoring, and platform reliability
- Work closely with BI, Analytics, Architecture, and senior business stakeholders
- Help shape the longer-term data platform roadmap and technology strategy
What they’re looking for:
- Strong SQL and Python/PySpark
- Experience with Microsoft Fabric or a similar modern cloud data platform
- Strong data engineering and data architecture experience
- Experience with data modelling, ideally Medallion, Star, or Snowflake
- Understanding of CI/CD, testing, version control, and automation
- Previous experience leading, mentoring, or technically guiding engineers
- Someone comfortable balancing hands-on technical delivery with strategic ownership


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This is a great opportunity for someone who wants to lead from the front technically, rather than move into a purely managerial role, with genuine ownership over the direction of the data platform.
Interested? Drop me a message or apply below to the advert.
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