415 jobs for “Data Engineer”
Databricks London
Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, implement end-to-end systems across data engineering, ML/AI and applications, and embed with client teams from ICs to executives, with around 20% travel.
Databricks London
Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks Data Intelligence Platform. You own architecture and end-to-end delivery across data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Expect up to 50% travel to client sites.
Snowflake London
Customer-facing pre-sales role working with the account sales team and channel partners to understand customer needs and position a cloud data platform. You run demos, proofs of concept and technical deep dives with both technical and executive audiences, and act as a technical champion to drive deals. Collaboration with product, engineering and partners is central, with a focus on data architecture, analytics and SQL.
Snowflake London
Technical partner for a portfolio of global financial services accounts, supporting the full sales cycle from discovery and qualification through proof of concept and technical close. Builds tailored demos and PoC engagements covering risk analytics, regulatory data platforms, fraud detection and AI/ML workloads, working alongside Account Executives and Professional Services teams.
Amazon London
Leads 24/7 engineering operations at a strategic AWS data centre, managing shift planning, PPM schedules and critical electrical and mechanical infrastructure such as generators, UPS, switchgear, chillers and air handling units. Drives PUE and efficiency improvements, site projects and operational budgets while leading integrated technical teams and third-party vendors. Also owns health and safety compliance, security protocols, certifications and emergency incident response.
Adecco Derby £60,000 – £75,000 pa
Design and build data pipelines, ETL processes, APIs and microservices in Python, deploying machine learning models into production. You will manage AWS infrastructure (S3, Lambda, EC2, RDS, Glue) and work with large complex datasets, with one day per week in the Derby office.
Amazon London
Hands-on mechanical role maintaining cooling and water systems across AWS data centres, including chillers, cooling towers, AHUs, pumps and CDUs. Duties cover pipework repair, pressure testing, water treatment to ACOP L8/HSG274, thermal optimisation and incident response within SLA. Shift-based, working alongside electrical and controls engineers to support 24/7 operations.
CrowdStrike London
Designs, implements and operates a global multi-vendor, multi-cloud and hybrid data center network, covering subnetting, VPC peering, direct connects and hub-spoke topologies. Builds IaC and automation tooling in Ansible, Terraform, Python and Go within CI/CD pipelines, and handles complex production troubleshooting and on-call rotations.
Experis United Kingdom £400 – £500 pd
Multiple contract roles supporting a large-scale technology programme, spanning data, ML and AI platform engineering, governance, security, reliability and service delivery. Work covers tools such as Python, SQL, Go, DataHub, Trino/Starburst, JupyterHub, OpenSearch, Entra ID/OIDC, FluxCD/Argo CD and Helm in cloud-native environments. Open to both hands-on specialists and technical leaders, with remote and global working.
Spectrum IT Recruitment Southampton £60,000 – £80,000 pa
Hands-on technical leadership role guiding a team of full stack engineers while remaining close to the code. You'll set technical direction across frontend, backend, cloud and data, and champion an AI-first engineering culture using tools like GitHub Copilot, Claude Code and Cursor throughout the development lifecycle.
Harnham - Data and Analytics Recruitment Abingdon US$200,000 – US$220,000 pa
Owns machine learning solutions end to end, from model design and training through deployment, MLOps and production monitoring. Works on cloud infrastructure and scalability for a personalised health insights platform, collaborating with engineering, product and domain experts in a small technical team. Engineering-focused rather than pure research.
Harnham - Data and Analytics Recruitment London £70,000 – £80,000 pa
Builds and scales backend services including APIs, workflow engines, data services and system integrations, linking Java/Spring components with Python-based AI services. Works across secure, high-performance system design, observability, automated testing and AWS CI/CD pipelines in a cross-functional team. AI-assisted development tools are used day to day.
TrueWatch Dublin, Ireland £77,691 – £86,324 pa
Maintains reliability, availability and performance of cloud infrastructure, monitoring production environments and managing observability tooling for metrics, logs and alerts. Handles incident response, root cause analysis and post-incident reviews, while automating deployments with IaC and CI/CD and optimising AWS, Azure or GCP resources. Works with engineering and platform teams on scalability, security compliance and capacity planning.
Connected IT Birmingham £63,000 – £72,000 pa
Hands-on platform engineering role focused on developing, managing and optimising enterprise cloud and data platforms across Microsoft Azure and Microsoft Fabric. You'll own platform lifecycle management, standardised environments, governance controls and Infrastructure as Code automation, while shaping Fabric workspace governance, capacity management, access controls and monitoring. Works closely with Architecture, CloudOps, DevOps, Security and Data teams.
Nebius London
Builds and deploys ML models for retrieval, reranking and search relevance, including embedding models and cross-encoders, in a production agent-native search platform. Owns data, training and evaluation pipelines plus ML platform work such as Kubernetes orchestration, GPU scheduling and low-latency inference optimisation.
