

Omnis Partners
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer focused on storage optimisation in a hybrid London setting for an initial 8-week engagement. Key skills include ML data engineering, storage optimisation, and governance. Pay is outside IR35, rate depending on experience.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
February 25, 2026
π - Duration
1 to 3 months
-
ποΈ - Location
Hybrid
-
π - Contract
Outside IR35
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#ML (Machine Learning) #Data Engineering #Documentation #Data Lifecycle #Storage
Role description
π Senior Data Engineer β Storage Optimisation Engagementπ
πLondon (Hybrid)
π
Starting ASAP for an initial 8 week engagement
π° Outside IR35 - rate depending on experience
Weβre 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 β itβs a focused piece of work with clear deliverables, governance ownership and measurable impact.
π The Role
β’ Assess large-scale storage usage across ML data prep, training and experimentation
β’ Design and execute structured clean-up & optimisation strategies
β’ Implement retention policies and lifecycle governance
β’ Reduce reliance on manual storage management
β’ Deliver a high-level data engineering roadmap
β’ Youβll work closely with ML and Infrastructure engineers, mapping workflows and introducing sustainable improvements.
π― Weβre looking for someone who:
π Has strong experience in ML-focused data engineering environments
π Has led storage optimisation or data lifecycle initiatives
π Understands artefact management, data retention and governance
π Is comfortable delivering documentation and roadmaps
π Senior Data Engineer β Storage Optimisation Engagementπ
πLondon (Hybrid)
π
Starting ASAP for an initial 8 week engagement
π° Outside IR35 - rate depending on experience
Weβre 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 β itβs a focused piece of work with clear deliverables, governance ownership and measurable impact.
π The Role
β’ Assess large-scale storage usage across ML data prep, training and experimentation
β’ Design and execute structured clean-up & optimisation strategies
β’ Implement retention policies and lifecycle governance
β’ Reduce reliance on manual storage management
β’ Deliver a high-level data engineering roadmap
β’ Youβll work closely with ML and Infrastructure engineers, mapping workflows and introducing sustainable improvements.
π― Weβre looking for someone who:
π Has strong experience in ML-focused data engineering environments
π Has led storage optimisation or data lifecycle initiatives
π Understands artefact management, data retention and governance
π Is comfortable delivering documentation and roadmaps






