At a Glance
- Tasks: Build and optimise large-scale data workloads in a hands-on role.
- Company: Major UK organisation investing in Data & AI.
- Benefits: Hybrid work model, competitive contract rate, and exciting projects.
- Other info: Join a dynamic team with opportunities for growth.
- Why this job: Tackle big data challenges and leverage AI in engineering.
- Qualifications: Strong experience in Spark, Python, and cloud data engineering.
The predicted salary is between 60750 - 74250 £ per year.
- Senior / Lead Data Engineer – Contract - Inside IR35
- 📍 London – Hybrid, 3 days onsite 📅 Initial 6 months 💷 Inside IR35
I’m looking for a seriously hands-on Senior/Lead Data Engineer to join a major UK organisation undertaking significant investment across its Data & AI estate.
The key word here is hands-on.
We’re not looking for someone who has progressed into overseeing engineering from a distance.
You’ll be actively building, modernising and optimising data workloads within a large-scale, complex environment.
What we’re looking for
Strong Spark / Py Spark engineering Large-scale data pipeline development & modernisation Python and strong software engineering fundamentals Performance, scalability & workload optimisation Cloud data engineering – ideally AWS CI/CD and modern engineering practices Experience working across complex, enterprise-scale data environments There’s also a particularly interesting AI engineering angle.
We want someone who knows how to use AI to accelerate the development lifecycle – but has enough engineering depth to look at AI-generated code and say “that won't scale”, explain why, and build it properly.
This would suit an experienced Senior or Lead Data Engineer who still loves engineering and wants to tackle genuinely large-scale data challenges.
Interested? Apply now.
#Data Engineering #Data Engineer #Py Spark #Spark #AWS #Python #AI #Contract Jobs
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