Tech jobs
Job listings
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Azure Synapse, Databricks, and PySpark to power analytics and ML workloads.
Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Azure Data Lake, Synapse, and Databricks to power analytics and real-time insights for enterprise clients.
Lead Azure Data Engineer
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.
Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Lead Data Engineering Consultant
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.
Senior Data Engineer - Finance Data Platform
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Senior Data Engineer — AI & Data Platform
Senior Data Engineer builds and optimizes AI-focused data pipelines and platforms, using Python, SQL, ETL/ELT, and MLOps to support scalable AI solutions for a consultancy.
Microsoft Azure Data Engineer
Build and maintain Azure-based data warehouses and ETL pipelines using Azure Data Factory, Synapse, and SQL, integrating cloud and on-prem systems.
GCP Solution Architect: Data Pipelines & Systems
Designs and implements GCP-based data pipelines and cloud architectures, translating business needs into scalable technical solutions while guiding ETL/ELT and event-driven systems.
Data Engineer
Build and maintain ETL/ELT pipelines and data storage on Azure for a government department, using Data Factory, Databricks, and SQL Server.
Data Platform Technical Lead
Lead the modernization of a large organization’s data platform, migrating legacy systems to cloud-based analytics using Databricks, Spark, and Delta Lake while overseeing delivery teams and governance.
Lead Data Engineering Consultant
Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.
Data Engineer - Snowflake or Databricks
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.
Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Data Engineer (DataX)
Build and maintain robust data pipelines and curated datasets for Westpac’s Economics and DataX teams, enabling AI-driven research and insights using Spark, Azure, and Databricks.
Senior Data Engineer
Build and own the data platform and pipelines for a boutique consultancy that uses mathematical optimization and ML to advise energy, aviation, and transport clients.
lead data engineer - informatica
Lead a team of 7 data engineers to build and automate high-volume ETL/ELT pipelines for a major bank using Informatica IDMC, Python, and AI-driven tools while ensuring cloud modernization and compliance.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.