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Principal Data Engineer (AWS)
Principal Data Engineer designs and builds scalable AWS data pipelines, ETL/ELT processes, and lakehouse architectures for enterprise clients, using S3, Glue, PySpark, and modern tooling like dbt and Terraform.
Data Engineer — Python & AWS Pipelines + APIs
Builds and maintains cloud data pipelines in Python and AWS, exposing data via APIs and ensuring reliable ingestion for reporting and operations.
Sr. Data Engineer - Architecture
Senior Data Engineer builds and optimizes OLTP databases and scalable data pipelines to power analytics and ML, using SQL, Python, AWS, and dbt.
BI Developer & Data Engineer
Build and maintain Microsoft Power BI and Fabric data models, ETL pipelines, and dashboards to support data-driven decisions in a consumer ecommerce business.
Data Engineer II (Data Platform)
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, ML, and GenAI across the travel giant’s global brands.
Principal Data Engineer (Databricks)
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.
Senior Consultant Data Engineer
Build and optimise cloud-first data pipelines using Azure Data Factory, Synapse, and Databricks to support analytics and AI for UK industries.
Databricks DevOps Engineer | Scalable AWS Data Pipelines
Designs and operates secure, scalable AWS data platforms using Databricks, focusing on infrastructure automation, CI/CD, and reliable ELT/ETL pipelines.
Data Engineer – Data Science & Technology
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.
Data Engineer - Salesforce Integration
Build and maintain Salesforce data pipelines and integrations, ensuring accurate data flow between systems using ETL, APIs, and middleware like MuleSoft.
Data Engineer - Salesforce Integration
Design and maintain Salesforce data pipelines and integrations, ensuring accurate, synchronized data flows between Salesforce and other systems using ETL, APIs, and middleware.
Full Stack / Data Engineer · London ·
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.
Cloud Data Engineer
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.
Azure Data Engineer: Cloud Pipelines & Analytics
Designs and builds Azure-based data pipelines and cloud systems to ensure high-quality data for analytics and AI projects.
Data and AI - Data Architect or Engineer
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Senior Data Engineer: Build Scalable AI Data Platforms
Design and build scalable data platforms and ETL/ELT pipelines, ensuring data quality and governance while integrating AI-powered tooling.
Data Engineer II (Data Platform)
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.
Director: Lead Data Engineer
Lead a team building and optimizing scalable data pipelines using Spark, Azure Data Factory, and cloud platforms to power AI-driven products and analytics.
Data Engineer – Security & Intelligence
Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified and geospatial data using Python, Spark, and AWS in regulated environments.
Data Engineer - Core systems
Build and maintain ETL/ELT pipelines and Snowflake data warehouse, using dbt and Python to enable self-service analytics for a fintech SME lender.