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Hands-on Data Architect/Lead Data Engineer role focused on Databricks — designing data models, building pipelines, and providing technical leadership for a Worcester-based technology organisation.
Senior Data Engineer designing and building scalable data platforms for fintech clients using Python, PySpark, SQL, and AWS in a hybrid London role.
Design and maintain cloud-based data platforms and data warehouse solutions, building ETL/ELT pipelines with Databricks, Spark, SQL and Python while automating deployments via Terraform and CI/CD pipelines in an Azure environment.
The Senior Specialist, Full-Stack Engineer will develop scalable, AI-enabled data solutions for the Finance Hub team at BNY Mellon. The role involves the full software development lifecycle, including ETL design, data modeling, and regulatory reporting using technologies like Python, PySpark, and Oracle.
Design and implement enterprise data platforms on Databricks, build ETL/ELT pipelines with Spark/PySpark/SQL, and provide technical leadership for data architecture and legacy migration projects.
Systems Limited is looking for a Senior Data Engineer to build and optimize scalable ETL pipelines using Python, PySpark, Databricks, and Azure. The role involves collaborating with cross-functional teams to deploy secure, high-performance cloud data platforms.
Data Scientist/ML Engineer at Ayesa Digital in Burgos, Spain, responsible for the full data and ML lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, MLflow, and PySpark.
Azure Data Platform Manager Putney, London | Hybrid £85,000+ Bonus + Excellent Benefits | Permanent Azure Data Platform | Azure Architecture | Data Platform Design | Databricks | Data Factory | Data Lake | Synapse Are…
The Senior Data Engineer designs and builds Azure Synapse and ADF data pipelines to modernize data platforms. The role involves migrating legacy IBM DataStage systems to Azure and mentoring offshore engineering teams.
The Senior Data Engineer will design, build, and manage enterprise data pipelines and Lakehouse architectures using Microsoft Fabric. The role focuses on integrating data from ERP, manufacturing, and supply chain systems to support analytics and self-service BI.
Senior Data Engineer designing and operating QL Group's enterprise Lakehouse platform on Microsoft Fabric, building ETL/ELT pipelines, data ingestion from ERP/supply chain systems, and analytics-ready data assets.
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines within a cloud-based data ecosystem. The role involves using Python, SQL, Spark, and cloud technologies to support data-driven decision-making across the organization.
The Data Engineer will build and maintain scalable data pipelines and storage solutions to support analytics and business intelligence. The role involves working with Python, SQL, and Azure-based data platforms within a global, cross-functional team.
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines using Spark, PySpark, Kafka, and NiFi. The role involves working within AWS and Azure cloud environments and utilizing container technologies like Kubernetes and Docker to support data-driven decision-making.
The Senior Data Engineer will develop and maintain cloud-based data ingestion pipelines and platform solutions to support data-driven decision-making across the organization. The role involves working with Python, SQL, Spark, and various cloud and container technologies to ensure data stability and performance.
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines within a cloud-based ecosystem to support data-driven decision-making. The role involves working with Python, SQL, Spark, and various cloud and container technologies to build and optimize data platforms.
Data Engineer building and maintaining scalable data pipelines, data integration, and storage design for analytics and BI solutions across a global IT footprint using Python, PySpark, SQL, and Power BI.
The Software Developer will build and maintain internal tools and external-facing applications using a full-stack tech stack including React, TypeScript, and Python or Node.js. The role involves integrating third-party platforms and ensuring code quality and security across company systems.
The Data Engineer II will develop and maintain cloud-based big data pipelines using PySpark, Spark SQL, and Databricks. The role involves managing batch and near real-time data ingestion while ensuring stable CI/CD deployments in an Azure or AWS environment.
Designs and delivers AI, data engineering, and analytics solutions on Databricks for clients, creates technical content, and serves as a Databricks expert and ambassador.
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