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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.
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.
Build and maintain ETL/ELT pipelines and data storage on Azure for a government department, using Data Factory, Databricks, and SQL Server.
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data 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…
Build and maintain data pipelines and MLOps frameworks in Azure to support healthcare customer analytics and propensity models for personalized marketing campaigns.
Senior data engineer builds and owns full-stack data platforms in AWS with Snowflake or Databricks, designing lakes, pipelines, and architecture for large enterprise and government clients.
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
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