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Senior Data Platform Engineer - Snowflake
Build and run a secure, scalable Snowflake-based data platform using Terraform, CI/CD, and Python; own automation, governance, and cost optimisation for enterprise analytics.
Senior Data Platform Engineer - Snowflake
Senior engineer building and running a secure, scalable Snowflake-based data platform with Terraform, CI/CD, and cost optimisation for enterprise analytics.
Lead Data Platform Engineer (Contract)
Lead a team building and scaling an enterprise Lakehouse data platform using Microsoft Fabric, Spark, PySpark, and SparkSQL for analytics and AI workloads.
Data Infrastructure Engineer – Ingestion & Scale
Build and scale a distributed data ingestion pipeline for AI-powered text-to-speech datasets using Python, Docker, GCP, and Terraform.
Full Stack GIS Developer
Build and deliver full-stack digital solutions for public-sector clients, focusing on geospatial data, GIS platforms, and open-source mapping tools like Leaflet and PostGIS.
Hybrid DevOps Lead: Cloud-Native, CI/CD & Observability
Lead a DevOps team to build and secure cloud-native infrastructure using AWS and Terraform, ensuring high reliability and smooth CI/CD pipelines.
Azure Cloud Engineers - IaC, Automation, Azure Devops - Jump IT Solutions
An Azure Cloud Engineer focused on Infrastructure as Code (IaC), automation, and CI/CD pipelines using Terraform, Ansible, PowerShell, and Azure DevOps, supporting financial services projects with hybrid London office attendance.
Data Platform Engineer (Snowflake)
Build and tune Snowflake-based data platforms, automate ETL/ELT pipelines with Airflow or Dagster, and manage cloud infrastructure using Terraform for a global financial-services firm.
Staff Data Platform Engineer
Lead the architecture and hands-on development of a next-gen streaming and analytics platform for a fast-growing fintech company, using Kafka, Spark, Flink, and Snowflake to process billions of financial events.
Senior Data Platform Engineer
Build and optimize AWS-based data pipelines (EMR, S3, SageMaker, Airflow, EKS) to feed analytics and ML models, ensuring scalability, cost-efficiency, and data security.
Data & ML Engineer - Newcastle
Build and deploy scalable data pipelines and ML models using Python, Spark, and cloud tools; integrate diverse data sources and ensure production-grade MLOps and governance.
Senior Data Platform Engineer
Build and scale Databricks and AWS infrastructure to power automated, reproducible ML workflows for DraftKings’ sports-betting platform.
Staff Data Platform Engineer
Lead the design and build of a globally distributed data transfer hub to ingest petabytes of sensor data daily from partner vehicles, using Python, Terraform, Flyte, Kafka, and Azure.
Senior Full Stack Node Developer
Leads full-stack Node.js development for public/private sector clients, mentoring teams to build secure, scalable systems using React/Next.js, Node/Express, Docker, Kubernetes, and AWS/Azure.
Staff Data Platform Engineer
Build and scale a large-scale event streaming platform using Kafka, Flink, and cloud tools to power AI use cases and data products for a global fintech company.
Senior Full Stack Node Developer
Senior Full Stack Node Developer builds and leads delivery of user-centred digital solutions using Node.js, React/Next.js, and cloud infrastructure for public and private sector clients.
Senior Data Platform Engineer
Build and scale a GCP-based data platform for an energy exploration startup, owning pipelines, infrastructure, and internal tools with Python, Airflow, BigQuery, and React.
Senior Data Platform Engineer
Build and scale Depop’s data platform, enabling teams to own, process, and query data efficiently using Databricks, Airflow, dbt, and cloud-native tools.
Contract Full-Stack Developer: Next.js, Java & Terraform
Build and maintain web apps with Next.js for the frontend and Java/Spring Boot for the backend, deploying cloud infrastructure via Terraform.
Senior Consultant - Full-Stack Developer (Azure / Snowflake)
Build and deploy data integration pipelines for UK financial clients using Azure, SQL, and Python, troubleshooting data quality and performance issues.