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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.
Senior Data Platform Engineer
Senior Data Platform Engineer builds and optimizes Microsoft Fabric-based data pipelines, warehouses, and ETL processes to support global metals/minerals analytics at a family-owned inspection consultancy.
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.
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.
Data Engineer II: Build ML-Ready Analytics Platform
Build and maintain a data-centric analytics platform to prepare and serve data for machine learning models using Python, Java, Scala, Spark, and SQL.
Markets-Facing Data Engineer: End-to-End ETL & Analytics
Build and maintain ETL pipelines and analytics infrastructure to support investment decisions at a hedge fund using Python and SQL.
Data Platform Engineer
Build and scale a cloud-native data warehouse and ML platform using Kubernetes, Terraform, and AWS/GCP, automating data workflows and integrations for a digital bank.
Senior Consultant - Full-Stack Developer (Azure / Snowflake)
Build and deploy data integration pipelines on Azure for UK financial-services clients, using Python/SQL and ETL/ELT patterns while collaborating with stakeholders.
Contract GCP Data Engineer - GBP700/pd Outside IR35
Build and maintain GCP data pipelines for an insurance broker, using BigQuery, Dataflow, and Pub/Sub to ingest and transform data for analytics.
Graduate Tech Consultant: Software, Data & DevOps
Graduate consultants build, deploy, and maintain software, data pipelines, and cloud infrastructure for clients using Agile practices.
Data Engineer – National Security (DV/eDV), Hybrid UK
Builds cloud-native data platforms and scalable pipelines for national security, enabling AI/ML and operational decision-making.
SC Cleared Data Engineer – Inside IR 35 – Hybrid
Designs, builds, and maintains secure data pipelines and platforms using cloud tech while ensuring compliance with security standards.
Quant Data Engineer — Hybrid Role in High-Impact Trading Tech
Builds and maintains data pipelines and systems for a hedge fund, working with quants to ensure clean, reliable datasets for trading strategies using Python, SQL, and Linux.
Senior Data Platform Architect — Hybrid Azure & DevOps
Design and build a modern Azure-based data platform, set up CI/CD pipelines, and mentor engineers using PostgreSQL, Python, and Terraform.
Data Engineer: Microsoft Fabric & Azure Analytics (6-Month)
Designs and builds scalable data pipelines and warehouses using Microsoft Fabric and Azure, delivering analytics for stakeholders.
Data Platform Engineer
Builds and scales a data platform and pipelines for a trading business using Python, SQL, cloud tech, and data lakehouse tools like Apache Iceberg.
Data Platform Engineer
Build and scale the core data platform for a fast-growing B2B SaaS business, extending Databricks lakehouse, AWS infrastructure, and reusable tooling so teams can move data safely and quickly from ingestion to analytics and AI.
Data Platform Engineer
Build and maintain Kafka-based data pipelines and infrastructure for Verifone’s global payment systems, ensuring high availability and performance for billions of annual transactions.