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Design and govern a healthcare-focused enterprise data lakehouse, building semantic layers, ontologies, and AI-native data architectures while ensuring HIPAA/FHIR compliance and scalable cloud-native pipelines.
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Build and migrate production-critical data pipelines from a legacy Hadoop warehouse to a Spark 3 / Iceberg lakehouse, using Spark, Hive, Iceberg, and Airflow.
Designs enterprise-scale data platforms and AI solutions, advising clients on cloud-native architectures, lakehouse models, and modern analytics stacks while leading presales and delivery efforts.
Build and maintain SumUp's data foundation by modeling business domains, ensuring data quality, and enabling self-serve analytics for teams using tools like dbt and Snowflake.
Design and deploy scalable cloud analytics architectures for AWS customers using streaming services like MSK, Kinesis, and Flink, and guide migrations to AWS data solutions.
Lead the design and delivery of a cloud-native healthcare data platform using AWS, Apache Iceberg, and modern data tools, while mentoring engineers and ensuring data reliability.
We're currently seeking a Data Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using both Microsoft Fabric tools and the Databricks Lakehouse Platform…
Build and maintain large-scale data pipelines and curated datasets on Goldman Sachs' modern Lakehouse and AI data platform to support analytics and AI use cases.
Designs cloud-native data platforms and AI systems using LLMs, RAG, and agentic frameworks to build scalable, intelligent solutions for enterprises and public agencies.
Designs cloud-native data platforms and agentic AI systems using LLMs and RAG, leading delivery and enterprise AI strategy across Singapore and the region.
Designs and maintains enterprise data architecture for healthcare systems using Databricks Lakehouse, Informatica IDMC, and Spark, ensuring compliance and scalability.
Designs and builds enterprise data platforms for banking clients, focusing on AML, financial crime, and regulatory compliance across APAC markets using cloud-based data lakehouse architectures.
Designs and implements scalable, secure data architectures for rail asset management and predictive maintenance, using cloud platforms and modern data pipelines to enable analytics and decision-making.
Designs and implements end-to-end AI ecosystems, integrating models, data pipelines, and MaaS/Agentic AI frameworks for global enterprise deployment.
Design and build scalable, reliable data pipelines for Goldman Sachs’ Lakehouse and AI platform using Python/Java and SQL, supporting high-impact analytics and AI use cases.
Design and build Azure Lakehouse architectures with Databricks, ADLS Gen2, Synapse, and Data Factory, and develop scalable ETL/ELT pipelines using Spark and Delta Lake.
Senior consultant builds and maintains ETL pipelines with Informatica and AWS/Databricks to move and transform data into analytics-ready datasets.
Leads end-to-end data projects, coordinates technical and functional teams, and ensures delivery of ETL, BI, and analytics solutions using cloud and data architectures.
Leads a team to build and maintain scalable data pipelines and models for enterprise reporting and analytics on a cloud data lakehouse using medallion architecture.
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