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Analytics Engineer I: Data Pipelines & Insights
Build and maintain data pipelines to process financial transaction data, ensuring accuracy and scalability for analytics and compliance at a global payments company.
Data Analytics Engineer I Data engineering London
Build and maintain scalable data pipelines and models for Checkout.com’s financial infrastructure, ensuring accuracy and compliance while partnering with finance teams to enable data-driven decisions.
Lead Data Engineer, GCP Data & Analytics
Lead a team to architect and scale data infrastructure on GCP, focusing on pipelines, models, and enterprise-wide data access while ensuring security and quality.
Senior Data Engineer (Databricks / Snowflake)
Builds and leads data pipelines for financial services clients using Databricks/Snowflake, mentoring engineers and translating business needs into trusted data solutions with a focus on regulated environments.
Senior Data Engineer - Defence (Lead Data Platforms)
Senior Data Engineer to design and lead defence-focused data platforms, mentor teams, and ensure high-quality data solutions for accredited systems.
Senior Data Engineer (AWS) - Data Lakehouse ETL Manchester
Designs, builds, and maintains AWS-based data pipelines and ETL processes for a data lakehouse/warehouse, ensuring data quality while mentoring junior engineers.
Data Engineer — PySpark & AWS for Strategic Analytics
Builds scalable data pipelines in AWS using PySpark to prepare analytics-ready datasets for government reporting and decision-making, collaborating with analysts and ensuring data quality in a hybrid work environment.
Remote Databricks Data Engineer — Data Pipelines Lead
Build and maintain Databricks pipelines to provision clean data for the Decision Science team, ensuring quality and governance while collaborating with stakeholders.
Senior Data Engineer II (Data Platform)
Leads the design and evolution of Rightmove’s data platform, focusing on scalable, reliable data infrastructure for analytics, AI, and ML initiatives. Owns architecture, integration of tools like dbt/Spark, and mentors engineers while driving AI-assisted workflows.
Data Engineer - Data Science Platform
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Azure using Python/Scala, Spark, and Databricks to power ASOS’s ecommerce analytics and machine learning.
Senior Data Engineer (Defence)
Leads data engineering projects for defence clients, building production platforms and pipelines using Python, Spark, and cloud tools while mentoring junior engineers.
Geospatial Data Engineer (AIS)
Build and maintain ETL pipelines that transform raw AIS and maritime data into trading signals for commodities markets using Python, PostGIS, and SQL.
Data Engineer III - FMX
Builds and maintains production data pipelines (Python/Airflow) to ingest, transform, and deliver data securely in Snowflake/Databricks, ensuring reliability and governance for Fanatics’ global sports commerce, collectibles, and betting platforms.
Senior Data Engineer
Designs and optimizes scalable data platforms and pipelines using Microsoft Fabric, Azure, Spark, SQL, and Python to enable analytics, data integration, and governance for hybrid work environments.
Data Engineer
Develops data-driven insights and scalable ELT pipelines for media/marketing clients, integrating client/third-party data and improving campaign performance using SQL, Python, and cloud tools.
Data Engineer
Build and maintain scalable GCP-based data pipelines and warehouses to power real-time sports data and AI/ML workloads for a global media brand.
Data Engineer (Databricks)
Builds lightweight analytics apps in Python (Streamlit) to support training and onboarding, integrates data from multiple sources, and maintains Databricks pipelines.
Data Engineer - London
Designs and optimizes scalable AWS data pipelines and ETL/ELT processes using Python, SQL, and Spark to process large behavioral datasets, improving data quality and enabling AI-driven consumer insights.
Senior Consultant - Full-Stack Developer (Azure / Snowflake)
Build and deploy Azure-based data pipelines and integrations for UK financial-services clients, using SQL, Python, and Snowflake to migrate and transform data.
