Data Engineering Jobs in Maidstone

Latest data engineering roles

Data Architect

Today

Experis Baltimore, United States £700 pw

Six-month contract guiding technical design for a data migration discovery within a Legacy Tech Debt programme. Involves assessing data extraction feasibility, analysing 54 Oracle database instances, overseeing reverse engineering and assuring technical artefacts, while aligning design decisions with wider architecture standards.

Remote Contract Clearance Required

Data Engineer

Today

Experis Baltimore, United States £500 pd

Builds and supports ETL pipelines to move and transform data efficiently, developing reliable data flows so teams can access the right information at the right time. Works within a secure public-sector environment, following controls and best practices while ensuring data quality and consistency across downstream usage. IBM DataStage and Oracle experience are desirable.

Hybrid Contract Clearance Required
Databricks logo

Forward Deployed Engineering Manager

Last week

Databricks London

Lead a delivery team of 8+ engineers building and productionising data and AI solutions on the Databricks platform for enterprise customers. Balances people leadership and hiring with hands-on technical oversight of architectures spanning Spark, Python/Scala, AWS/Azure/GCP, CI/CD and MLOps, while driving professional services metrics such as bookings, revenue, margin and CSAT.

Hybrid

Senior Python Developer

Last week

Experis Birmingham £45,000 – £55,000 pa

Hands-on role building and maintaining Python applications, APIs and integrations with FastAPI, plus data pipelines, SQL models and ERP connections. You will also contribute to an internal React and TypeScript web platform and deliver automation and AI solutions, working across cloud environments such as Google Cloud Platform.

Permanent
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Forward Deployed Engineering - Architect

2 weeks ago

Databricks London

Customer-facing, billable engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. Involves embedding with client teams, scoping technical delivery, integrating ML/AI models and pipelines, and contributing reusable accelerators, with around 20% travel to customer sites.

Hybrid Permanent

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