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Senior Full Stack Engineer - AI-Driven Chemistry Platform
Builds and ships full-stack features for an AI-driven automated chemistry platform using Python, React, and modern DevOps.
Remote Principal Geospatial Data Engineer
Principal Geospatial Data Engineer designs and optimizes cloud-based geospatial data pipelines, mentors engineers, and ensures scalable AWS solutions for a UK-based data engineering firm.
Lead Data Engineer for Trading Systems (Remote)
Lead a team of data engineers to build and optimize trading systems in a high-performance environment, using Python and big data technologies to directly influence global trading strategies.
Remote Data Engineer (Integration) – API & AWS
Build and maintain API integrations between external platforms and internal systems using AWS serverless infrastructure for an affiliate marketing company.
DevOps Consultant - Databricks
Build and maintain secure, scalable Databricks data platforms on AWS, automating ELT/ETL pipelines with PySpark, Spark, Kafka and CI/CD to deliver reliable data products.
Senior Data Engineer: Data Platform DevOps & Architecture
Senior Data Engineer to modernize analytics infrastructure by building an Azure-based data platform with DevOps, automated pipelines, and scalable architecture using Python, SQL, and Azure services.
Lead Data Engineer / Data Tech Lead
Lead a team to design and deliver scalable data platforms, pipelines, and warehouses using cloud tools like AWS/Azure/GCP, while mentoring engineers and shaping best practices for reliable, secure data solutions.
Full Stack Engineer
Build and deploy AI-powered SaaS that integrates ML models and analytics into daily decision-making using Python, Node.js, and cloud-native tooling.
Principal Geospatial Data Engineer
Lead a team to design and build geospatial data pipelines and cloud infrastructure on AWS, using QGIS, FME, and PySpark to power a major UK government digital transformation project.
Azure Data Engineer - Fabric
Design and implement Azure-based data pipelines and warehouses using Fabric, Synapse, and Data Factory to enable real-time reporting and analytics for UK clients.
Data Engineer — Hybrid London: Real-World Pipelines
Build and maintain real-world data pipelines for a B2B SaaS start-up, integrating datasets into client workflows using Python and SQL.
Data Engineer | Fully Remote + Equity & Growth
Designs, builds, and maintains data pipelines and infrastructure to ensure reliable data for insights and decision-making in a fast-growing startup.
Remote Azure Data Engineer (Contract)
Build and optimize Azure-based data pipelines and warehouses using Synapse Analytics and ADF, ensuring scalable, reliable data flows for analytics and reporting.
Senior Data Engineer
Build and evolve a data platform using Azure, Python, and SQL to support renewable energy solutions.
Senior Full-Stack Engineer: AI-Powered Climate Insurance
Build and scale the full-stack platform that powers AI-driven climate insurance models, integrating geospatial data pipelines and deploying risk insights from concept to production.
Senior Data Engineer - Remote-Ready Data Platforms
Senior Data Engineer to design and build scalable data platforms and analytics solutions using Python, SQL, and PowerBI for clients.
Staff Data Engineer — Remote, Scale Subscription Data
Define and implement the data engineering strategy for Spotify’s Subscriptions domain, building scalable platforms to support global analytics and experimentation for millions of users.
Data Platform Engineer: Shape Scalable Data Pipelines
Designs and builds scalable data pipelines and frameworks for cloud-based solutions, focusing on SQL and cloud technologies to optimize data workflows.
Senior Data Platform Engineer | AWS Data Pipelines & ML
Designs, builds, and optimizes scalable AWS data pipelines (EMR, SageMaker) while collaborating with data science teams to enable ML workflows.
Senior Data Scientist: Enterprise Analytics & Data Pipelines
Senior Data Scientist builds analytics pipelines and models for a bank’s developer-experience team, turning raw data into insights using Python, SQL, BigQuery and PostgreSQL.