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Senior Data Engineer — Real-Time Finance Analytics
TMGM seeks a Senior Data Engineer in Sydney to build a high-throughput real-time data ecosystem spanning Sydney and Mainland China. Day to day: designing ETL/ELT pipelines and financial analytics hands-on in Python and SQL, using Kafka, RabbitMQ, Airflow, and ClickHouse, deployed in governed cloud environments.
Snowflake & AI Data Engineer - Hybrid Sydney
Hands-on data engineering role building and optimizing data pipelines on Snowflake, using cloud ETL tooling such as DBT and Airflow, with an emphasis on AI adoption and client collaboration. Hybrid in Sydney CBD with a 2-3 day on-site schedule.
Data Engineer
A Data Engineer builds and maintains ETL/ELT pipelines feeding St Vincent's Health Australia's enterprise data platform, powering reporting, analytics, ML, and Generative AI solutions. Core stack: Azure Data Factory, Azure SQL, Databricks/Microsoft Fabric, Power BI/SSAS, SQL, and Python or Scala.
Senior Data Engineer — Scalable Cloud Data Pipelines
Senior Data Engineer in Melbourne designing, building, and enhancing enterprise cloud data platforms — data lakes, data warehouses, and analytics environments. Day to day: leading scalable data solutions, optimizing ETL/ELT pipelines, and supporting BI within a collaborative agile team.
Data Engineer
Senior Data Engineer designing, building, and optimising batch and streaming data pipelines and lakehouse solutions on Azure Databricks, using PySpark, Python, SQL, and Delta Lake, integrated with Azure Data Factory, ADLS Gen2, Key Vault, and Azure DevOps CI/CD. Based in Sydney with a focus on performance tuning, data quality, and governance.
Data Engineer
Builds and maintains the ETL/ELT data pipelines, dimensional models, and warehouse environments feeding St Vincent's Health Australia's enterprise data platform, supporting reporting, analytics, ML, and GenAI. Core stack: Azure Data Factory, Azure SQL, Databricks/Microsoft Fabric, Power BI, SQL, and Python/Scala. Permanent full-time Melbourne role with hybrid working (two days on site).
Data Engineer
Spait Infotech is hiring a Data Engineer in Australia to build and maintain ETL/ELT pipelines, write and optimize SQL queries, process data with Python, and design databases and data warehouses while ensuring data quality. Freshers are welcome; knowledge of a cloud platform (AWS, Azure, or GCP) is an advantage.
Data Engineer
Build and maintain Smartvatten's cloud data platform: ingest data from sources like Salesforce, NetSuite and MongoDB into Google BigQuery, model it with SQL in Dataform (medallion architecture), and serve Qlik reporting and AI/analytics use cases. Core stack: GCP/BigQuery, SQL, Python, Dataform, Git, Terraform.
Data & AI Architect
Job Description Job Description \n \n Must Have Technical/Functional Skills \n \n ● Strong experience in enterprise data architecture, data engineering, BI, and analytics platforms. \n ● Hands-on experience designing…
AI Data Engineer (Nucleus Graduate Programme)
Your role is only the beginning Join NCS and experience a collaborative work environment where you can develop and grow your career through our well-defined career tracks. As part of our Nucleus Graduate Programme ,…
Sr. Implementation Manager (SFDC & CRM)
Company Overview (Who are we? Why should you join us?) At ecoATM the proof of our success is in our staggering growth, extraordinary impact on protecting the planet, and providing a work culture unlike any other. We…
Van Data Analist naar Data Engineer
Je bent data analist en wil meer bouwen aan de achterkant: stabiele datapipelines, slimme modellen en betrouwbare platforms. In ons 1,5-jarig programma groei je stap voor stap naar de rol van volwaardig Data Engineer.…
[Contract] Analyst - Principal Analyst (Data Engineering Branch)
Contract data engineering role at Singapore's Energy Market Authority (statutory board): design, build and operate batch and near-real-time pipelines plus cloud/on-premises data platforms (data lakes, lakehouses, warehouses). Core stack includes SQL, Python/Java/Scala, AWS/Azure, Spark and Kafka, with a focus on data quality and governance.
Cloud Data Engineer: Analytics & AI Platform
Design, build, and maintain scalable cloud data platforms and pipelines supporting analytics, ML, and business insights at PSA Singapore. Day-to-day covers ETL/ELT development, data modeling, BI reporting, and AI/ML integration, with a focus on Azure services and DevOps practices.
Senior Data Engineer (EconTech) (Contract)
Contract role (ends Dec-2028) at Singapore's central bank: you are the data engineer for the EconTech team, building and operating cloud ETL/ELT pipelines that turn economic data (official statistics, licensed feeds, web and document sources) into reusable, validated data products, plus LLM-based extraction workflows. Core stack: Python/R, SQL, Git/CI-CD.
Associate Data Engineer
Associate Data Engineer (placed via a Singapore staffing agency) to lead end-to-end data exchange/integration projects for a manufacturing client: planning schedules, budgets, and stakeholder communication while building data mapping and validation flows using RESTful APIs, XML/JSON, ETL/middleware tools, Power BI, and preferably Azure services.
Platform Data Engineer
Data engineer building scalable ingestion and ETL pipelines (Kafka, Airflow), a public-health knowledge graph, and ML deployment infrastructure (FastAPI, Docker, AWS) for disease surveillance and pathogen genomics. Requires 2+ years of Python data-pipeline experience and comfort with genomics/public-health data formats.
Senior Data Engineer
Salary: Competitive salary + annual bonus Senior Data Engineer Location – Macquarie Park, Sydney preferred Our data team is growing & we need an MS data specialist. Join an ambitious firm which is growing, evolving &…
Senior Software Engineer, IT Digital Employee Experience
Senior engineer leading Databricks' internal IT Digital Employee Experience team: owns end-to-end delivery of internal web/mobile apps (procurement, SaaS management), data pipelines into Databricks, and AI integrations. Core tech: Python full-stack, AWS/Azure, Databricks platform, Terraform/GitHub, Okta, and LLM/MCP tooling.