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Google Cloud Platform Data Engineer
Build and maintain scalable Google Cloud data pipelines using BigQuery, Dataflow, and Pub/Sub, ensuring high-quality, reliable data for analytics and business users.
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.
Data & AI Engineer
Design and build scalable data pipelines and AI architectures for a regulated financial advisory firm, enabling analytics and decision-making with modern cloud tools.
DV-Cleared Data Engineer for Defence & AI Platforms
Design and build secure data pipelines and storage for Defence & AI platforms, enabling analytics and reporting in classified environments.
Senior Data Engineer - Azure
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.
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.
Power Automate Data Engineer
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.
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.
Head of Data Operations - (Data Engineering)
Lead a team to maintain and improve Ofgem’s cloud-based data platform (Azure), ensuring reliable data access for analytics, AI, and business intelligence while driving operational excellence and governance.
Principal Data Engineer
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.
AI-Powered Data Platform Engineer
Design and build scalable data platforms and AI-driven architectures for enterprises, using AWS/Azure services, Python, and modern data patterns to enable AI transformations.
Backend Java Developer – Data Fabric / Platform Engineering
Build core Java services for a Data Fabric platform that enforces data access policies and optimizes SQL queries across distributed systems.
Principal Data Engineer
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.
Senior Data Engineer
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
Principal Data Engineer leads teams to build and govern robust Oracle EPM data services for government systems, integrating finance and HR data to support reporting and decision-making.
Cloud Data Engineer
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.
Data Analyst/Data Modelling Analyst(Lead II - Data Engineering)
Build and maintain data models, dashboards, and reports using SQL, Power BI, and Databricks to deliver insights and KPIs for business stakeholders.
Analytics / Data Engineer
Build and maintain the data platform that powers reporting, AI workflows, and decision-making at a prop-trading discovery platform using BigQuery, dbt, Airbyte, and Airflow.
Research Data Engineer
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.
Research Data Engineer
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.