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Build and optimize cloud data pipelines and lake house architectures for a global iGaming provider, migrating on-prem systems to AWS/Azure and implementing Kafka-driven streaming pipelines.
Senior Data Engineer builds and scales cloud data pipelines, warehouses, and models for a global travel-tech platform using Snowflake, BigQuery, dbt, and Azure/Google Cloud.
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Leads a team to build and maintain a data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting for a Malaysian insurer.
Build and own the core data platform that powers analytics and products for Malaysia’s national payment systems using Python, Kubernetes, and cloud-native data infrastructure.
Build and maintain AWS-based data pipelines and ETL workflows using Glue, S3, Lambda, and PySpark to process large datasets and migrate to Databricks.
Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Build and maintain secure, governed ELT pipelines and data models on Azure and Databricks to power analytics and AI across a UK-based professional services group, ensuring high-quality, reconciled data for regulated entities.
Builds intuitive UX for a data-lake/warehouse environment, collaborating with designers, backend engineers, and data scientists to deliver cohesive frontend applications.
Design and deliver enterprise data platforms using Microsoft Fabric, Databricks, Azure Data Factory, Synapse Analytics and Data Lake, ensuring governance and data quality.
Build and maintain a Fabric-based data platform, owning the data lake, warehouse, and pipelines while ensuring governance and data quality.
Design and build scalable data pipelines and analytics infrastructure using Python, Spark, and AWS for large-scale data processing and real-time streaming.
Design, build, and maintain robust data pipelines and platforms for a large Australian health district, integrating clinical and financial systems with modern ETL tools and cloud infrastructure.
Build real-time data pipelines and ML workflows on AWS to power AI-driven customer experience features, integrating LLMs and agentic systems for workforce management.
Build a new Databricks-on-Azure lakehouse, migrate legacy pipelines, and set up CI/CD to lay the foundation for AI-driven analytics in a superannuation business.
Lead the design and development of ETL/ELT pipelines and data storage solutions on Azure for a Federal Government department, enabling analytics and decision-making with modern cloud technologies.
Lead a team building a reconciliation staging area for securities products, importing and transforming trade data in AWS and ensuring accurate matches between external MT messages and internal positions.
Build and maintain Azure-based data warehouses and ETL pipelines using Azure Data Factory, Synapse, and SQL, integrating cloud and on-prem systems.
My client is seeking a Senior Data Engineer with strong AWS data engineering experience to design, build and optimise scalable data pipelines across both batch and real-time environments. This role is ideal for someone…
Designs and builds end-to-end data pipelines and cloud data lakes for a Big 4 bank, using Python, Spark and Azure to create reusable data assets and support analytics.
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