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Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
Lead a Data Platform engineering team at Cohere Health, driving execution of complex data initiatives, operational excellence, and evolution of the data platform using AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, and Athena.
Data Platform Engineer supporting automated data pipelines, large-scale testing data validation for risk/reporting, and BI platform assistance — using Python, SQL, and Tableau in a public-sector data transformation programme.
The Data Engineer will design and maintain scalable ETL/ELT pipelines in Azure Databricks to process insurance data. The role involves collaborating with stakeholders to deliver data assets, ensuring data quality and security, and automating workflows using tools like Azure Data Factory and GitHub Actions.
This role involves building and managing large-scale supply chain data ingestion pipelines and transforming data within a Lakehouse architecture using Databricks or Microsoft Fabric. The engineer will collaborate with business stakeholders to create optimized data models for self-service BI.
The Data Engineer will design, develop, and maintain data analytics and warehouse platforms for insurance applications using Azure, Spark, and Databricks.
Data engineer designing and maintaining ETL/ELT pipelines on Azure Databricks for insurance data, using PySpark/Scala, Python, Informatica, and GitHub Actions.
Develop, test, and maintain data processing pipelines using PySpark, Python, SQL, and Pandas for data extraction, transformation, and loading from multiple sources.
Data Engineer responsible for designing, maintaining, and improving data lakes, pipelines, batch and real-time processing systems, and metadata infrastructure using Python, AWS services, and big data technologies.
Data/DevOps engineer supporting automated data pipelines and risk reporting using Python, SQL, and Tableau in Hong Kong.
Data Engineer designing and maintaining data analytics and data warehouse platforms for insurance applications, using Databricks, Spark, PySpark, and Azure SQL.
The Senior Data Engineering Architect will design scalable analytics platforms and lead migrations to Unity Catalog using Azure Databricks, Data Factory, and Fabric. The role requires extensive experience in data analytics and proficiency in Python and PySpark.
Senior Data Engineering Architect designing and overseeing data architecture, ETL pipelines, and big data frameworks using Python, PySpark, SQL, and cloud platforms (AWS/GCP/Azure) in Manila.
The Data Engineer will design and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure data quality and accessibility for business analytics.
This senior data engineer role involves designing, building, and maintaining scalable end-to-end data pipelines and architectures using Snowflake, dbt, and AWS. The position requires a candidate to own the full data lifecycle and support analytics within a Canadian financial services environment.
The Data Engineer designs and maintains data pipelines and integrations to support GEI's AI solutions and digital initiatives. The role involves building ingestion pipelines, managing data stores for RAG, and ensuring data quality and governance using Azure technologies.
The Data Engineer designs and maintains data infrastructure and ETL pipelines to support analytics and omnichannel initiatives. The role utilizes Python, SQL, and Microsoft Fabric to build scalable data solutions for life sciences clients.
Hours: 35 hrs Hybrid Working (3 days a week) Closing Date: Sun, 13 Sept 2026 We're looking for a talented Data Engineer to help shape the future of our data platform. If you’re passionate about cloud technologies,…
The Analytics Engineer will build and maintain a centralized cloud data platform to model customer health metrics and deliver actionable signals into Salesforce. The role involves working with GCP, Databricks, PySpark, Python, and SQL to support a SaaS client.
This expert-level data engineering role involves leading the architecture and migration of SAP BW data platforms to AWS-integrated environments for manufacturing and supply chain optimization. The candidate will manage complex hybrid data pipelines, perform root cause analysis, and provide strategic technical leadership within a global IT hub.
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