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Senior Backend Engineer building scalable Python services, ETL/ELT pipelines, and API integrations for a global FinTech platform using FastAPI and containerized Linux/Docker environments.
Senior backend engineer building scalable APIs and distributed systems in Python/Node.js for a global marketing automation platform, integrating with adtech and data services.
Staff Backend Engineer to lead Depop’s data platform, building scalable pipelines, data lake, governance, and real-time analytics using Python/Scala, Spark, Kafka, and cloud platforms.
Senior Backend Engineer builds and maintains scalable APIs, microservices, and data pipelines in Python/Node.js for a marketing intelligence platform powering global ad campaigns.
Build and operate AWS/Azure cloud infrastructure and Kubernetes clusters for a global asset manager, focusing on reliability, automation, and GitOps to support trading systems and AI workloads.
Senior backend engineer building scalable APIs and distributed services in Python/FastAPI or Node.js for a marketing intelligence and automation platform powering global adtech workflows.
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Senior AWS Data Engineer builds scalable ETL/ELT pipelines, data models, and quality monitoring for analytics and operational decisions in a 12-month Nottingham-based role.
Senior Data Engineer at Kainos in Belfast building and scaling Palantir-based data pipelines on AWS/Azure/GCP/Databricks to support large-scale government systems.
Design, build, and optimize Azure data pipelines using Databricks and cloud tools to migrate legacy systems and support analytics.
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Senior Data Engineer designs and implements cloud data warehouses, ETL/ELT pipelines, and data models for clients across finance, healthcare, government, and other sectors.
Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.
Leads data engineering teams to build AI-driven pipelines and data foundations for an energy-trading firm using Databricks, PySpark, Python, and Azure.
Principal Data Engineer designs secure, cloud-native data platforms and leads teams to modernize legacy systems using Azure/AWS/GCP, SQL, Python, and Spark.
Builds and maintains cloud data pipelines in Python and AWS, exposing data via APIs and ensuring reliable ingestion for reporting and operations.
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
Build and maintain Microsoft Power BI and Fabric data models, ETL pipelines, and dashboards to support data-driven decisions in a consumer ecommerce business.
Principal Data Engineer designs and builds scalable data pipelines on Databricks/AWS or Azure, using PySpark, SQL, and Delta Lake to migrate customers to cloud data platforms.
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