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Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.
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.
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.
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.
Build and optimize multi-cloud data infrastructure for a digital bank, enabling analysts and ML teams with efficient pipelines and tooling across AWS and GCP.
Design and build scalable data pipelines and warehouses, then deliver interactive Power BI reports using Azure, SQL, Python, and DAX.
Builds agent-based transport models and cloud-native tools in Python to simulate urban mobility and inform sustainable transport planning.
Design and implement data architectures for genomic research and clinical applications, integrating healthcare data solutions in a government-led initiative.
Design and maintain data models, ETL pipelines, and warehouses in Python/SQL to support audit and risk analytics for financial clients.
Builds interactive data-visualization interfaces for a simulation platform that supports decision-making using modern frontend stacks.
Build and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and orchestration tools like Airflow.
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.
Builds and maintains React/TypeScript frontends for an AI-driven product, turning UX designs into polished UI while collaborating with Python APIs and AI coding tools.
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.
Senior Data Engineering Consultant builds and optimizes data pipelines using PySpark and Databricks, delivers Power BI dashboards, and advises clients on cloud data solutions across Azure, AWS, and GCP.
Consultant builds and delivers SAS-based data pipelines and analytics solutions for clients, using SQL, cloud platforms, and BI tools.
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.
Design and build enterprise-scale data platforms using cloud services, Python, Spark, and modern data tools to enable AI-driven analytics and business transformation.
Data engineering consultant designs, builds, and optimizes data pipelines and analytics solutions using Databricks, PySpark, and Power BI for enterprise clients.
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