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London Hybrid Data & AI Engineer - 6m Contract
Builds and maintains AI-powered data pipelines and retrieval-augmented analytics for a global investment bank, integrating diverse data sources and enabling AI-driven decision support.
Senior Data Platform Engineer: Python + Databricks (Hybrid)
Build and maintain a financial data platform on Databricks using Python, data pipelines, APIs, and data models in a hybrid Edinburgh role.
Senior Data Test Engineer — ETL, Cloud & Automation
Designs and implements automated test frameworks for data pipelines and ETL processes using SQL, Python, and cloud platforms like AWS and Azure.
Hybrid Data & AI Engineer (UK SC Eligible)
Designs, builds, and maintains data pipelines and AI-enabled solutions using Python and SQL for business-critical applications.
Data Analytics Engineer I Software engineering London
Build and maintain data pipelines and warehouses for a global fintech platform, ensuring accuracy and compliance while scaling to hundreds of billions of financial events.
Lead Data Platform Engineer -12 Month Secondment
Lead a team building and maintaining data pipelines, data lakes, and cloud infrastructure using AWS, Spark, and DevOps tools for a fintech credit services division.
Data Platform Engineer – Lakehouse & AI (VP)
Designs and builds scalable data pipelines for a modern lakehouse platform, ensuring reliable ingestion, transformation, and modeling of financial data using Python/Java, SQL, and Apache Spark.
Data Scientist, Platform & Pipelines — Cambridge
Build a data platform and pipelines to process life-sciences research data, then apply time-series algorithms and advanced analytics to extract insights.
Data & ML Platform Engineer
Build and maintain scalable data pipelines, ML infrastructure, and MLOps workflows on Google Cloud to power Tekever’s AI-driven surveillance and decision-support systems.
Software Engineer - Data & Sensors
Build and maintain the embedded software and data pipelines for UMI devices that collect sensor data to train humanoid robots, ensuring high-quality, synchronized multi-modal recordings.
Software Engineer (Data Platforms)
Builds and maintains data pipelines, models, and APIs for a grid-planning platform that unifies messy energy datasets and enables AI-assisted grid operations.
Software Engineer (Data Platforms)
Build and maintain data pipelines, models, and APIs for an AI-powered grid-planning platform, handling messy energy datasets and enabling reliable infrastructure decisions.
Security Data and Platform Engineer
Build and maintain scalable security data pipelines for Elastic SIEM, ensuring reliable telemetry across cloud and hybrid environments while collaborating with SOC and platform teams.
Data and Solutions Engineer
Build and optimize cloud-based data pipelines and ETL processes on Azure to support investment analytics, using Python, SQL, and tools like Azure Data Factory and Databricks.
Data and AI Engineer
Build and maintain scalable data pipelines, AI models, and GenAI solutions using Python, SQL, and cloud platforms to support enterprise-scale analytics and automation.
Data Science Engineer - EDU Market Growth (Remote)
Design and operationalize an EDU revenue-science model to uncover growth opportunities in global education markets, build data pipelines, and apply propensity modeling.
Lead Data Platform Engineer — Cloud Data Lake (Hybrid – Notts)
Lead a team building scalable cloud data lakes and pipelines using Spark, Hadoop, AWS Glue, S3, and Lake Formation with DevOps practices in Terraform, CI/CD, Jenkins, and Harness.
Data QA Engineer — Hybrid (UK) | Data Quality & Automation
Owns data quality checks and test automation for a fintech’s data warehouses, lakes, and ETL pipelines using SQL.
Software Engineer - Data
Build and maintain the data platform powering an automated energy trading system, integrating market data, asset telemetry, and forecasting models using Python, SQL, and cloud tools.
Senior Data Platform Engineer — End-to-End Data & Apps
Senior Data Platform Engineer builds and owns cloud-based data pipelines that feed customer-facing apps and internal tools, blending data engineering with software development.