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Senior Data Engineer builds and maintains scalable data pipelines and platform components in Python/Scala with Spark, PySpark, and Azure services to power ASOS’s ecommerce analytics and machine-learning systems.
Maintain and troubleshoot Databricks-based cloud data platforms, ensuring reliable ETL/ELT pipelines and Spark workloads on AWS or Azure for enterprise clients.
Support and troubleshoot AI/LLM applications, data pipelines, and cloud platforms; diagnose incidents in PySpark, Databricks, and AWS/Azure environments.
Build and maintain production data pipelines on Databricks, transforming raw data into clean, governed datasets for analytics and AI teams using PySpark, SQL, and Delta Lake.
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Designs and implements data platforms (lakehouses, ETL pipelines, event streaming) for clients, balancing architecture with hands-on development using Azure, SQL, Python and PySpark.
Build and deploy AI agents for supply-chain orchestration, integrating them securely with legacy systems using Python, GCP, and Vertex AI while optimizing token usage and performance.
Build and deploy AI agents for supply-chain optimization, integrating them securely with legacy systems using Python, GCP, and Vertex AI Agent SDK.
Designs and builds an AI-first platform for IP intelligence, focusing on modular, explainable systems for patent analysis and freedom-to-operate workflows using Azure, Databricks, and modern frontend stacks.
Builds and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL for reliable analytics.
Designs and maintains scalable data pipelines on Databricks and Azure Synapse using PySpark, Python, and SQL to enable reliable analytics and AI workflows.
Contract role building and optimizing data pipelines for NLP and LLM applications, integrating with cloud platforms and ML infrastructure.
Build and optimize a cloud-based data integration framework that powers a graph data model for industrial supply chains, using PySpark/Scala and Azure/AWS/GCP.
Lead the design and optimization of CareDx’s enterprise BI ecosystem using Power BI, DAX, Databricks, and Microsoft Fabric to deliver scalable analytics and dashboards for healthcare decision-making.
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
Maintain and support enterprise AI platforms, cloud-native environments, and data pipelines for a leading Hong Kong financial institution, ensuring reliability and enabling AI/ML operations.
Build and optimize scalable data pipelines on Databricks and AWS, designing a Lakehouse architecture with Delta Lake to support ETL/ELT, real-time streaming, and analytics for a fintech company.
Build and scale AWS-based data platforms and AI-driven data products using Python, PySpark, and Scala to power CommBank’s Business Banking analytics and decision-making.
Salary: £? - ? per year Requirements: We need deep hands-on Azure Databricks implementation and troubleshooting experience. We need experience with Databricks Serverless and compute/workload optimisation. We need…
Builds and maintains data pipelines and cloud-based data platforms (e.g., Microsoft Fabric, Databricks) to support construction industry clients, using Python, PySpark, and SQL for data transformation and analytics.
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