Job description
Senior Data Engineer – Storage Optimisation Engagement
London (Hybrid)
Starting ASAP for an initial 8 week engagement
Outside IR35 - rate depending on experience
We’re supporting a client looking for a Senior Data Engineer to lead a short-term, high-impact storage optimisation engagement within an ML-heavy environment.
This is not a generic BAU role – it’s a focused piece of work with clear deliverables, governance ownership and measurable impact.
The Role
• Assess large-scale storage usage across ML data prep, training and experimentation
• Design and execute structured clean-up & optimisation strategies
• Implement retention policies and lifecycle governance
• Reduce reliance on manual storage management
• Deliver a high-level data engineering roadmap
• You’ll work closely with ML and Infrastructure engineers, mapping workflows and introducing sustainable improvements.
We’re looking for someone who:
Has strong experience in ML-focused data engineering environments
Has led storage optimisation or data lifecycle initiatives
Understands artefact management, data retention and governance
Is comfortable delivering documentation and roadmaps
Extra information
- Status
- Open
- Education Level
- Secondary School
- Location
- City of London
- Type of Contract
- Full-time jobs
- Published at
- 13-03-2026
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Must be eligible to work in the EU
- No
- Cover Letter Required
- No
- Languages
- English
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