425 jobs for “Engineer”
Palantir Technologies Seattle, United States US$10,500 pa
Interns in the Production Infrastructure organization contribute production code across a Kubernetes-based PaaS, secure fleet-wide deployment tooling, and observability systems, owning features from prototype to release with a dedicated mentor. Work spans Java, Go, TypeScript, and open-source tooling, with possible on-site exposure to defense and government customers.
Palantir Technologies New York, United States US$10,500 pm
Interns in the Production Infrastructure organization contribute production code to platforms like Apollo, Rubix and a Kubernetes-based environment platform spanning hundreds of clusters, plus observability tooling. They own features end to end with a dedicated mentor, working alongside engineers, product managers and deployment teams on infrastructure for government and defense customers.
Databricks London
Serve as a trusted technical advisor guiding enterprise customers through the architecture, administration and security of their Databricks deployments on AWS, Azure or GCP. The role spans cloud networking, identity, IaC automation and platform administration, with live coding in Python and PySpark, and requires travel up to 30%.
Databricks London
Customer-facing, billable engineering role embedding with clients to design, build and productionize end-to-end data and AI systems on the Databricks platform. You own architecture and design decisions across data engineering, ML/AI model integration and application development, working alongside engagement managers, architects and customer teams, with around 20% travel.
TXP London
Builds BigQuery pipelines on Google Cloud that turn set-top-box viewing feeds into exposure tables, including finishing a half-built one. Creates privacy-safe joins between exposure data and partner outcome data (card spending, web visits) in BigQuery and Snowflake clean rooms, working directly with partners' data teams. Day-to-day work with coding agents like Claude Code is expected.
Snowflake London
Customer-facing pre-sales role partnering with account sales teams and channel partners to run demos, proofs of concept and technical evaluations of Snowflake's data cloud platform. You'll present to executives and technical audiences, build technical champions, and collaborate with Product, Engineering and partners, with hands-on SQL and data architecture work.
Snowflake London
Customer-facing pre-sales role partnering with account sales teams and channel partners to run demos, proofs of concept and technical evaluations of Snowflake's data cloud platform. You'll present to executives and technical audiences, build technical champions, and collaborate with product, engineering and partners, with SQL required and Python, dbt and Spark preferred.
The Alan Turing Institute London £57,000 – £69,000 pa
Designs and operates robust data pipelines that ingest, validate and structure large, heterogeneous datasets, and builds analyst-facing data products such as curated datasets, data models, serving layers and query interfaces. Establishes and maintains the data platform across cloud and on-premise environments, covering storage, compute, orchestration, access control and infrastructure-as-code, within Defence and partner security constraints. A senior individual contributor role setting data engineering standards, mentoring colleagues and shaping data architecture.
Opus Recruitment Solutions London £600 – £650 pd
Design and build scalable Snowflake data pipelines and cloud-native platforms on AWS, including resilient document ingestion for unstructured healthcare records. Develop ETL frameworks to transform clinical data into analytics-ready datasets while meeting GDPR and healthcare governance standards, using Snowflake Cortex, Python, SQL, dbt, Airflow and Terraform.
Reed Technology Guildford £55,000 – £75,000 pa
Designs, builds and optimises enterprise-scale data pipelines, ETL/ELT processes and lakehouse/warehouse solutions using Microsoft Fabric and Azure services. Works closely with analysts, developers and business stakeholders on data quality, governance and architecture, and mentors junior team members. Hybrid role with two days on-site.
CBSbutler Holdings Limited trading as CBSbutler London £70,000 – £80,000 pa
Hands-on engineering role building, maintaining and optimising data pipelines using KDB+/q and Python, working with large financial datasets and high-performance data solutions in a banking environment. Sits within a capital markets context, with banking or financial services experience considered an advantage.
Copello Birmingham £60,000 – £80,000 pa
Designs and maintains end-to-end data pipelines for large, complex datasets, transforming data into insights, analytical tools and dashboards. Works with software engineers, researchers and technical specialists on projects supporting national security infrastructure, with a focus on automation and process improvement in Linux-based environments.
Hyre Ai London £50,000 – £70,000 pa
Own an AI-first analytics startup's production multi-agent system end to end, building LLM-powered features across agents, APIs and infrastructure. Work spans tool calling, structured outputs, memory and context management, plus adding tools to the company's MCP server. You'll also build evals and tracing and run the AWS stack (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock) with CI/CD and infrastructure as code.
Elastic United Kingdom
Owns the production improvement loop for a knowledge layer that AI agents use to work with enterprise data in Elasticsearch, covering extraction automations, retrieval tools and memory. Writes production TypeScript, designs telemetry and evaluation for agent traces, tool calls and retrieval, and sets the technical bar for safe iteration on agentic behaviour alongside data scientists, backend engineers, product and UX.
Huxley Associates London £900 – £1,000 pd
Design, build and maintain regulatory reporting applications and data pipelines covering global trade and transaction reporting. Work with compliance, operations and business stakeholders to turn regulatory obligations into scalable technical solutions, investigating exceptions and reconciling data discrepancies. Uses Python, SQL and modern data engineering tooling, with AI-enabled workflows for automation and control.
