415 jobs for “Data Engineer”
Amazon Thames Valley, Berkshire, GBR
Supports and operates AWS messaging and streaming services including Kinesis, SQS, SNS, EFS and FSx, combining operations and networking expertise. The role involves automating and simplifying daily operations, analysing dashboards and metrics, writing SOPs and runbooks, and participating in a 24/7 on-call rotation for high severity issues.
Databricks Belgium; Finland; Remote - Denmark; Remote - France; Remote - Germany; Remote - Italy; Remote - Netherlands; Remote - Spain; Remote - Sweden; Remote - United Kingdom; Switzerland
Individual contributor on a distributed incident response team handling security threats, high-priority alerts and forensics across cloud environments. Uses Databricks' own platform for near-real-time log analytics and builds AI/agentic automations to scale response, while mentoring junior responders and providing technical leadership.
Databricks London
Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Designs and maintains high-QPS, low-latency backend systems at massive scale, with low-level debugging and performance optimisation on large production clusters. Also provides technical leadership, mentoring junior engineers and leading complex cross-team projects.
Amazon Thames Valley, Berkshire, GBR
Builds and operates critical support and health tooling for AWS customers, using Linux and networking skills to troubleshoot, automate service operations and deployment, and reduce manual toil. Engineers own services end to end in a large-scale, high-availability cloud environment, mentor junior team members, and use metrics to drive capacity and efficiency improvements.
Nebius London
Develops and extends the QEMU/KVM virtualization stack, optimising I/O for emulated disk and network devices, distributing resources between VMs and hardening the hypervisor against untrusted code. Works closely with the open-source community on upstream patches, with a focus on low-level security and performance.
Nebius London
Optimise GPU clusters and InfiniBand fabrics on a hyperscaler AI cloud platform, tuning performance and troubleshooting root causes across Kubernetes, QEMU and KVM. Integrate new GPU hardware, build automation for proactive fault detection, and work on multi-GPU HPC environments alongside hardware virtualisation and device emulation specialists.
University of Bristol Bristol £44,746 – £50,253 pa
Build and operate the software-defined infrastructure behind the UK's most powerful supercomputer, working with Kubernetes, Terraform/OpenTofu, Python, Rust, Git and Bash. The role spans hardware sourcing, deployment, platform design and optimisation of massive-scale GPU and CPU/GPU workloads, co-designing solutions with world-class researchers in a cybersecurity-compliant environment.
Bright Purple Bath £450 – £475 pd
Hands-on contract role redesigning a B2B client portal, building and maintaining backend services and REST APIs in Python and Django. You own work end to end, from technical refinement through deployment and monitoring, collaborating with product, QA and platform teams. The team values clean, well-tested code, observability and AI-assisted development.
Ricoh London
Builds and operates secure, scalable platforms and services that take enterprise AI from evaluation into production. Works across DevOps, cloud and MLOps, creating repeatable deployments, monitoring, automation and governance alongside AI specialists, data scientists and security teams.
Grafana Labs United Kingdom £103,958 – £124,750 pa
Backend-focused role on the Grafana Alerting squad, working at the core of the open-source Grafana project and the SLOs product. Engineers design, build and operate distributed systems that scale Prometheus-based alert ingestion, evaluation and delivery, and take part in on-call rotations. The team is fully remote and works closely with customers and Grafana Cloud teams.
Profile 29 London £60,000 – £70,000 pa
Design, build and operate resilient AWS cloud infrastructure underpinning critical public-sector services, with heavy focus on automation, reliability and security. Work across CI/CD pipelines, Terraform and Kubernetes, event-driven systems like Kafka, databases such as PostgreSQL and Elasticsearch, and IdAM with Keycloak. Join a growing platform and delivery team, embedding DevSecOps and observability while supporting incident management and root-cause analysis.
NVIDIA Cambridge
Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI, HPC and data centre workloads. The role involves contributing features and optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.
Network IT United Kingdom £550 – £600 pd
Delivering and maintaining secure, resilient infrastructure and platform services, with a strong focus on security best practices, automation and continuous improvement. Working in a team of infrastructure specialists, you build, administer and support compliant solutions using Linux, Terraform, Docker, AWS, Bash and Python, advising teams on hardening, identity and access management, vulnerability management, monitoring and incident response.
eFinancialCareers London £67,000 pa
Designs and implements security solutions across cloud, on-premises and hybrid environments for a global technology consultancy's client projects. Involves automating SIEM log ingestion, managing firewalls, running CIS-based infrastructure assessments and embedding security practices with engineering teams. May include client-dependent on-call support for high-priority incidents.
eFinancialCareers London
As a Senior Software Engineer, you will work on a cloud-native analytics and rapid delivery platform, supporting trading, risk management, and complex workflows. You will collaborate with quantitative teams and engineers to build reliable, scalable, and resilient systems, turning complex technology into reusable services and APIs.
