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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.
Senior Data Engineer builds and maintains scalable data pipelines and platform components in Python/Scala with Spark, Azure, and Databricks to power analytics and ML at ASOS.
Design, migrate, and optimize SQL Server and cloud data platforms (Azure/AWS) for a bank, building ETL pipelines, data warehouses, and HA/DR solutions while ensuring security and compliance.
Builds and maintains scalable HR data pipelines on Azure Databricks and ADF, focusing on automated, high-quality analytics solutions for employee lifecycle data.
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.
Lead a team building and optimizing scalable data pipelines using Spark, Azure Data Factory, and cloud platforms to power AI-driven products and analytics.
Principal Data Engineer designs scalable Azure-based data pipelines and analytics platforms, using Python, SQL, and Power BI to enable self-service insights for a growing product team.
Design and implement data governance frameworks and catalogs for Mars’s supply-chain analytics, using Azure tech (Synapse, Databricks, Purview) to standardize and democratize data across teams.
Build and maintain data pipelines using Power Automate and Databricks to automate ETL workflows, ensuring clean, reliable data flows between systems like Azure, SharePoint, and Dynamics 365.
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 builds and secures Azure-based data platforms (ADF, Databricks, Lakehouse) to power real-world decision-making and modernize large-scale systems.
Principal Data Engineer at Royal London designs and builds scalable data pipelines and platforms using Python, SQL, Databricks, and Azure tools to enable AI-driven insights for pensions and investments.
Build and maintain Azure-based data pipelines that feed critical insurance systems, ensuring reliability and integrity of financial data flows.
Lead the build of scalable Azure-based data platforms for a private-equity-backed fintech, modernizing systems and supporting M&A activity.
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.
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.
Build and maintain Azure-based data pipelines, lakes, and warehouses, and deliver Power BI reports to support scalable analytics and business intelligence.
Builds and maintains Azure-based data pipelines and ELT/ETL processes using Azure Data Factory, Synapse, and Fabric to deliver clean datasets for analytics and reporting.
Design and build a scalable data infrastructure for a global PE fund using Snowflake, dbt, and Azure Data Factory to support analytics and AI initiatives across investment teams.
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