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Data Science / Data Engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS.
Senior Data Engineer (m/w/d)
Build and maintain ETL/ELT pipelines and a modern data platform using Airflow, dbt, and Synapse to move data from SAP/Salesforce into BI and applications.
Senior Data Engineer (m/w/d)
Build and maintain modern data pipelines in Azure and Microsoft Fabric to feed analytics, reporting, and ML models for an Amazon-focused ecommerce agency.
Senior Backend Engineer — Remote FinTech Data Platform
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
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 - Data Platform
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
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.
Senior Backend Engineer
Senior backend engineer building scalable APIs and distributed systems for OneSuite, a unified marketing intelligence platform, using Python/FastAPI, Node.js, and cloud-native tools.
Senior Cloud SRE & DevOps Engineer
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
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.
DevOps Engineer (Product)
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.
DevOps Engineer (Product) DevOps Engineer - Product (London, UK)
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: Scalable Pipelines & Analytics
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 Palantir Data Engineer: Scale & Impact
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.
Azure Data Engineer: Databricks & Cloud Pipelines (Hybrid)
Design, build, and optimize Azure data pipelines using Databricks and cloud tools to migrate legacy systems and support analytics.
Security Engineer III - Data Engineer
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Senior Consultant, Data Engineer
Senior Data Engineer designs and implements cloud data warehouses, ETL/ELT pipelines, and data models for clients across finance, healthcare, government, and other sectors.
Google Cloud Platform Data Engineer
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.
Data Engineer : Tech Lead – Databricks
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 (SC)
Principal Data Engineer designs secure, cloud-native data platforms and leads teams to modernize legacy systems using Azure/AWS/GCP, SQL, Python, and Spark.