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Principal Data Engineer designs secure, cloud-native data platforms and leads teams to modernize legacy systems using Azure/AWS/GCP, SQL, Python, and Spark.
Build and maintain Microsoft Power BI and Fabric data models, ETL pipelines, and dashboards to support data-driven decisions in a consumer ecommerce business.
Build and optimise cloud-first data pipelines using Azure Data Factory, Synapse, and Databricks to support analytics and AI for UK industries.
Build cloud-native apps in C#/.NET on Azure, design Microsoft Fabric data architectures, and integrate LLMs—while troubleshooting production systems in a fast-paced startup.
Lead data engineering teams to design and deliver scalable data platforms for clients, using Databricks, SQL Server, and Microsoft Fabric in Azure.
Data Engineer builds and maintains data pipelines, warehouses, and reports using SQL Server, SSIS, Power BI, and Microsoft Fabric to support analytics and compliance.
Build and manage cloud data pipelines using Microsoft Fabric, Databricks, and ETL tools to deliver end-to-end data warehousing and analytics solutions for enterprise clients.
Design and implement scalable Azure-based ETL pipelines and data flows for a UK fintech firm, using Azure Data Factory, Synapse, and Spark to improve financial well-being analytics.
Principal Data Engineer designs and builds enterprise-scale cloud data platforms and pipelines, setting engineering standards and leading DataOps initiatives to support secure, high-performing analytics and decision-making.
Principal Data Engineer leads the build of an Azure-based data warehouse, sets technical direction, mentors a mid-senior engineer, and integrates ERP systems using Azure, SQL, Python, and Power BI.
Design and build ML, NLP and Generative AI solutions on Databricks, Microsoft Fabric and Azure AI Services to drive business impact.
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
Design and build scalable Azure data pipelines, migrate legacy systems to the cloud, and optimize ETL/ELT processes using Databricks, PySpark, and Azure Data Factory.
Designs and builds scalable Azure data pipelines using Fabric, Databricks, and Data Factory to deliver clean, structured data for analytics and reporting.
Principal Data Engineer designs and maintains secure, scalable data platforms and pipelines for Defence/Aerospace programmes, using cloud-native tech and DataOps to enable analytics and digital transformation in regulated environments.
Design and build data platforms for wealth management using Microsoft Fabric and Azure AI, creating AI-driven applications to extract insights and improve operations.
Design and build cloud data pipelines using Azure Data Factory, Synapse Analytics, and SQL Server to support analytics and AI across complex infrastructure programmes.
Design and deliver enterprise analytics solutions on Azure and Databricks, mentor teams, and advise clients on data-driven decisions.
Design and build scalable data platforms for clients using Azure, Databricks, and Microsoft Fabric, focusing on analytics and AI solutions while mentoring peers.
Leads a team of data engineers to build and scale Microsoft Fabric and Azure-based data platforms, setting technical standards and aligning data strategy with business goals.
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