Data Engineering Jobs

Tenth Revolution Group · Liverpool · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms and pipelines that power analytics, machine learning and AI products for enterprise clients. Involves data architecture, ETL/ELT, orchestration, secure data services and APIs, plus governance, lineage and observability, with scope to build and lead a wider data function.

Tenth Revolution Group · Leeds · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Matillion · East Coast USA · US$107,500 – US$150,000 pa

Own the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partner with SDRs, marketing and channel allies on territory strategy, and work cross-functionally with product and solution architecture. Quotas exceed $1M ARR with MEDDIC or value-selling methods.

Matillion · Central USA · US$107,500 – US$150,000 pa

Owns the full enterprise sales cycle, from self-sourced pipeline through closing six-figure deals and onboarding new customers. Partners with SDR, marketing, channel and solution architecture teams to build territory strategy, while using MEDDIC or value-selling methods to translate technical challenges into business value.

eFinancialCareers · London

Embedded within a hedge fund's investment team, building Python research platforms, simulation and backtesting frameworks, data pipelines and tooling for systematic trading strategies. Works daily with quantitative researchers and portfolio managers to productionise signals and models, with a focus on testing, CI/CD and scalable system design.

eFinancialCareers · London · £600 – £700 pd

Shapes future-state architecture across a data platform landscape, leading build vs. buy assessments and providing strategic direction to delivery and technology teams. Supports the transition from current to target-state architecture, resolving conflicts and dependencies while weighing low-code/no-code and AI trends. Requires banking and enterprise data platform expertise.