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Data Platform Engineer
Build and maintain real-time data pipelines and cloud infrastructure using Golang, Kafka, Flink, and GCP to power bet365’s high-volume betting platform.
Senior GCP Data Engineer – Cloud Platform Lead
Lead design and delivery of scalable GCP data platforms using BigQuery, Dataflow, Dataproc, and Pub/Sub for UK clients.
AGBG Full Stack Engineer - Google Deployed Engineer (UK)
Lead Google Cloud engagements, design and deploy cloud-native solutions for global clients, and oversee distributed teams using GCP services like AI, Data & AI, and Workspace.
Regulatory Data Engineer: BigQuery & Cloud ETL
Build and maintain cloud-native BigQuery ETL pipelines to transform regulatory data into accurate, timely reports for compliance, migrating legacy SQL Server systems to GCP.
Senior Data Engineer - Full Stack
Senior Data Engineer builds scalable cloud data pipelines and AI-ready datasets for esports and gaming ecosystems using Python, SQL, BigQuery, and dbt.
Data Engineer- Public Sector & Defence
Design and maintain scalable data pipelines for public-sector and defence clients, ensuring data accuracy and performance for analytics and decision-making using tools like Snowflake, SQL, Python, and cloud platforms.
Regulatory Data Engineer — BigQuery & Cloud
Build and maintain regulatory reporting systems on BigQuery, migrating legacy SQL Server pipelines and designing cloud-native data models for accurate, traceable submissions.
Senior Python Data Engineer — AdTech & Data Platforms
Build and maintain data pipelines and platforms for programmatic advertising, using Python, SQL, Airflow, Kafka, and Snowflake to process and serve campaign data at scale.
Data Platform Engineer II - ETL Pipelines - Remote
Build and maintain scalable ETL/ELT pipelines and data models in Snowflake, BigQuery, and Hive using Java and Python to power Tripadvisor’s travel platform.
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.
AGBG Full Stack Engineer - Google Deployed Engineer (UK)
Lead Google Cloud engagements, design and deploy cloud-native solutions for global clients, and guide distributed teams using GCP services like Data & AI, security, and agentic AI.
Full-Stack Engineer (Backend focused) in London - Gizmo
Build and ship backend features using Python and PostgreSQL, with TypeScript exposure; optional React and cloud tools like BigQuery or Redis.
Senior Fullstack Engineer (Typescript) – LegalTech
Build and scale a TypeScript/React full-stack platform that blends regulated legal services with a fine-tuned LLM, focusing on event-driven architecture and AI productisation.
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.
Real-Time Data Platform Engineer (Hybrid)
Builds and enhances bet365’s real-time data infrastructure using Golang, Kafka, Flink, GCP, Spanner and BigQuery to power low-latency, highly available streaming services.
Principal Data Engineer — Scale a Global SaaS Platform
Principal Data Engineer to design and scale global data infrastructure for a SaaS platform, using Databricks, Snowflake, or BigQuery on AWS.
Data Engineer (Principal/Lead)
Principal Data Engineer builds and scales a commercial SaaS data platform serving 200+ enterprise clients, focusing on high availability and AWS/Databricks stacks.
Regulatory Data Engineer — BigQuery & Cloud Pipelines
Build and maintain cloud data pipelines in BigQuery and GCP to generate regulatory reports for a global betting company.
Full Stack Engineer
Build next-gen address software using ASP.NET Core, Blazor, and SQL, handling large datasets in a small team with direct product impact.
Data Manager
Lead a team of 7–8 data professionals to build and maintain scalable data models and transformation workflows using dbt and cloud data warehouses like Snowflake.