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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.
Design and build scalable data infrastructure using Snowflake, dbt, and Azure Data Factory to streamline operations and improve data access for a private equity firm.
Build and maintain scalable data pipelines and warehouses for a fast-growing InsurTech, using cloud platforms and ETL tools to deliver clean, reliable data for analytics and business decisions.
Design and build cloud data pipelines using Azure Data Factory, Synapse Analytics, and SQL Server to support analytics and AI across complex infrastructure programmes.
Build and maintain scalable cloud data pipelines for an automotive intelligence platform using Azure, Databricks, PySpark, and Delta Lake, integrating AI features to support dealerships worldwide.
Designs and builds scalable cloud data platforms and ETL/ELT pipelines using Azure Data Factory, Databricks, and SQL for enterprise clients in a consultancy setting.
Build and maintain data pipelines, warehouses, and lakes to power analytics and AI at a UK mutual insurer using Python, SQL, Spark, and cloud tools like Databricks and Snowflake.
Builds and maintains data pipelines using Azure Data Factory, Databricks, and Scala, ensuring reliable data flows for downstream analytics and AI workloads.
Builds and maintains Azure-based ETL pipelines and data warehouses using SQL Server, Azure Data Factory, and SSIS to deliver business insights via Power BI.
Lead a team to modernize Unum’s data platforms using Azure, Databricks, and Kafka, building scalable pipelines and cloud/hybrid architectures to enable analytics and AI across the business.
Designs and maintains data pipelines using Azure Synapse, Azure Data Factory, and SQL tools to support analytics in a manufacturing-focused compliance company.
Senior Consultant designs and delivers modern data platforms using Microsoft Fabric, Azure Databricks, and Power BI, leading client engagements to turn data into business insights.
Build and own a modern cloud data platform using Microsoft Fabric and Snowflake, designing scalable pipelines and semantic models to power analytics and reporting for a manufacturer undergoing digital transformation.
Builds and maintains scalable Azure data pipelines and lakes using Python, PySpark, SQL, Azure Data Factory and Microsoft Fabric for UK public-sector projects.
Leads the design and development of scalable AI-driven data pipelines using tools like Apache Spark and Azure Data Factory, while mentoring junior engineers and collaborating with cross-functional teams.
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