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Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
Build and maintain Microsoft Power BI and Fabric data models, ETL pipelines, and dashboards to support data-driven decisions in a consumer ecommerce business.
Principal Data Engineer designs and builds scalable data pipelines on Databricks/AWS or Azure, using PySpark, SQL, and Delta Lake to migrate customers to cloud data platforms.
Build and optimise cloud-first data pipelines using Azure Data Factory, Synapse, and Databricks to support analytics and AI for UK industries.
Build and maintain scalable data pipelines and analytics infrastructure for Roku’s CTV advertising auction platform, processing billions of daily ad events to support bidding strategy and monetization decisions.
Build and maintain data pipelines and architecture for a global energy trading firm, enabling real-time analytics and ML-driven insights for traders using SQL, Python, and Snowflake.
Design and maintain Salesforce data pipelines and integrations, ensuring accurate, synchronized data flows between Salesforce and other systems using ETL, APIs, and middleware.
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.
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.
Designs and builds Azure-based data pipelines and cloud systems to ensure high-quality data for analytics and AI projects.
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Design and build scalable data platforms and ETL/ELT pipelines, ensuring data quality and governance while integrating AI-powered tooling.
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, experimentation, and GenAI across the travel giant’s global brands.
Lead a team building and optimizing scalable data pipelines using Spark, Azure Data Factory, and cloud platforms to power AI-driven products and analytics.
Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified and geospatial data using Python, Spark, and AWS in regulated environments.
Build and maintain ETL/ELT pipelines and Snowflake data warehouse, using dbt and Python to enable self-service analytics for a fintech SME lender.
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 maintains Azure Databricks pipelines, ELT workflows, and production AI models to power analytics and insights for England’s higher-education regulator.
Build and optimize Snowflake-based data pipelines in Python to migrate and integrate financial lending data, ensuring quality and scalability for reporting and analytics.
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.
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