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Lead a team to design, build, and optimize enterprise-scale data pipelines and cloud platforms, mentoring engineers and shaping data strategy for a global organization.
Builds and optimizes data pipelines to stabilize enterprise systems, improve reporting accuracy, and establish scalable data foundations for clients. Focuses on ETL/ELT, data quality, cloud platforms, and collaboration with stakeholders to drive data-driven decision-making.
Lead Data Engineer at Liverpool FC responsible for designing, building, and maintaining the club's AWS-based data platform—data pipelines, ETL, data models, and APIs—while providing technical leadership to offshore teams.
Senior Full-Stack Developer building features and contributing to architecture across the full SDLC for a greenfield SaaS platform, using React on the frontend and C#/.NET on the backend with AWS or Azure.
Full-Stack Engineer building apps that integrate with market APIs, query positions, generate market orders, and push messages into trade-capture systems for European power markets using C# and SQL.
Full Stack Engineer building and enhancing trading applications and APIs using React.js and Node.js, with exposure to Python and Azure Databricks, on a contract basis in London.
SC Cleared Data Engineer building and maintaining data pipelines on AWS with a planned migration to Google Secure Cloud for a Defence digital transformation programme, hybrid in Malvern.
Data Engineer at a housing association designing data products, pipelines, and models to support reporting, analytics, and decision-making across the business.
Builds and maintains ETL pipelines and Oracle database solutions for a UK government data exploitation program, using Talend and SQL. Focuses on data integration, CI/CD improvements, testing, and mentoring junior engineers in a hybrid Agile team.
Full Stack Engineer at Atarus building scalable APIs and real-time data pipelines in Go, Python, or C++, plus React+TypeScript frontends with AI-powered features.
An onsite Forward Deployed Engineer in London who rapidly designs, prototypes, and ships full-stack solutions directly with enterprise clients using Python, TypeScript, Rust, SQL, and cloud technologies.
Junior/Mid-level Data Engineer building scalable data pipelines with Python and SQL on an on-premise data platform for trading and analytics in a financial services company. Hybrid 6-month contract in London.
Senior Full-Stack Engineer building a greenfield cloud-native platform using Node.js, TypeScript, React, and Azure—owning backend services, APIs, and integrations while contributing to frontend development and CI/CD setup.
Full-stack engineer in the CTO Office building scalable web apps with TypeScript, React, and NestJS on Azure, using AI tooling like Copilot and Claude Code in a near-remote setup (one day/month in London).
Builds and maintains a production-grade on-chain measurement system for Solana, sampling transactions, validating data integrity, and publishing transparent, reproducible datasets to inform routing decisions. Focuses on expanding measurement scope while ensuring defensible statistical rigor.
Contract Full-Stack Developer focused on backend engineering, building schema-driven interfaces (OpenAPI/JSON Schema) and configuring API gateways like Kong, Envoy, and Akamai/CloudFront using Python, Golang, or Java with GitOps deployment workflows.
Build and maintain Next.js UIs and Go/Python backends for Octopart’s web services, focusing on cloud-based features and API design in a fast-paced engineering team.
Early-career Full Stack Engineer in London working across Python backend services, data pipelines, ETL, and AWS/Azure cloud environments within an Automation & Analytics team.
Senior Data Engineers will design and scale a Databricks Lakehouse platform using Medallion Architecture, Apache Airflow, dbt, and PySpark for a financial services consultancy's clients.
Senior Data Engineer (6-month contract, hybrid London) building scalable data ingestion and transformation pipelines for customer data at a UK retail org, using Python, SQL, cloud platforms (AWS/Azure/GCP), and tools like Databricks, Spark, Kafka, Airflow, and dbt.
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