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Build and maintain cloud-based data pipelines and ETL workflows for a cybersecurity analytics platform, using Python, SQL, Azure, and streaming tech to support real-time security use cases.
Senior Data Engineer designs and implements cloud data warehouses, ETL/ELT pipelines, and data models for clients across finance, healthcare, government, and other sectors.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for an insurance firm using MS-SQL, Azure Databricks, and Python to support reporting and analytics.
Builds and maintains scalable HR data pipelines on Azure Databricks and ADF, focusing on automated, high-quality analytics solutions for employee lifecycle data.
Data Engineer builds and maintains data pipelines, warehouses, and reports using SQL Server, SSIS, Power BI, and Microsoft Fabric to support analytics and compliance.
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.
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 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 cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
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.
Build and maintain Azure-based data pipelines, lakes, and warehouses, and deliver Power BI reports to support scalable analytics and business intelligence.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Leads data-engineering engagements for clients, designing cloud data platforms (AWS/Azure/GCP), building ETL pipelines, and coaching teams while advising on governance and modernisation.
Design and build scalable data lakes, warehouses, and pipelines using Python, SQL, and cloud platforms to power analytics and reporting for a financial-services company.
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.
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