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Real-Time Finance Data Engineer: ETL, Kafka & ClickHouse
TMGM is hiring a Senior Data Engineer in Sydney to design and enhance its high-throughput data ecosystem: building scalable ETL/ELT pipelines and real-time streams with Kafka, RabbitMQ and Airflow over financial datasets, and enabling efficient data access via ClickHouse in a regulated financial context.
Senior Data Engineer — AI-Driven Data Pipelines & Cloud
Senior Data Engineer at Nine, Australia's largest locally owned media company, designing and maintaining scalable data pipelines and centralizing data into a warehouse to handle high-volume events from mastheads like AFR, SMH and The Age. Core stack: Python, SQL, cloud platforms and modern DevOps tooling.
Senior Data Engineer: Cloud-Native Pipelines on AWS
Senior Data Engineer at Tata Consultancy Services in Sydney, Australia, designing, building and optimizing scalable cloud-native data pipelines. Day-to-day work centers on Omnia-based processing, PySpark and SQL transformations, using AWS services and Snowflake, with 8+ years' data engineering experience required.
Senior Data Engineer – Real-Time Pipelines on AWS
Senior data engineer (9-14 yrs) in Sydney building enterprise-scale data platforms on AWS: designing batch and real-time ingestion, optimizing pipelines, and delivering low-latency streaming with Kinesis/Kafka. Core stack: AWS, Python, PySpark, databases, CI/CD and IaC.
Senior Data Engineer: Cloud Data Platform (Snowflake)
Senior Data Engineer at Zurich Insurance in Sydney building and scaling the company's cloud data platform for analytics, finance, risk and regulatory reporting. Day-to-day work centres on end-to-end data modelling and ETL/ELT pipeline delivery using Snowflake, DBT, Informatica IICS and AWS in an Agile setting.
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.
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.
Senior Data Engineer
Senior Data Engineer at Nine (Australia's largest locally owned media company) in Sydney, building scalable data pipelines and models that process hundreds of millions of daily events from mastheads like AFR, SMH and The Age into the enterprise data warehouse. Core stack: Python, SQL, Airflow, DBT, cloud (GCP/AWS/Azure), Terraform and CI/CD.
Sr. Data Engineer
Job Description W2 ONLY - NO CORP TO CORP - NO 3RD PARTY CANDIDATES - NO VISA SPONSOR/TRANSFER \n CAN WORK IN NYC/BOSTON/SPRINGFIELD \n \n \n Partner with Cybersecurity leaders, risk stakeholders, and non‑Cyber teams…
Senior Data Platform Engineer
Senior data engineer (titled Data Advisor) at a Power Platform consultancy, designing and building modern data platforms, pipelines and data-driven solutions for client projects. Core stack: Microsoft Fabric (or Databricks/Snowflake), Azure data services and Power BI; fluent Finnish and English required.
Senior Data Engineer - End-to-End Pipelines (Hybrid)
Design and build production-grade data pipelines across diverse client environments at Pareto, often acting as data architect or technical lead. Core stack includes Snowflake, Databricks, BigQuery, or Synapse with Python/PySpark, modeling data for analytics and AI. Hybrid role based in Tampere, Finland.
Sr. Developer Snowflake Data Platform (MDM)
Job Description Title: Sr. Developer Snowflake Data Platform (MDM) \n Employment Type : Full-time \n Industry: Wholesale \n Location: Memphis, TN \n \n Role Description: \n We are seeking a motivated mid-level…
Senior Data Engineer, Supply Chain Analytics & APS Insights
Senior data engineer at POET Technologies in Singapore who analyzes manufacturing and supply-chain data, defines APS (advanced planning & scheduling) requirements, and builds Power BI/Tableau dashboards while coordinating UAT with users and data engineers in a semiconductor/manufacturing context.
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.
Senior Data Engineer - AWS & Databricks (Hybrid)
Senior Data Engineer designing, building and operating scalable data pipelines on AWS and Databricks within a cloud data platform, contributing to governance, modelling and data products in a public-sector context. Core stack: Python, PySpark, SQL, AWS, Databricks. Hybrid role in Singapore.
Senior Data Engineer
12-month contract (Jan–Dec 2027) for a senior data engineer to design, build and operate scalable AWS and Databricks data pipelines and lakehouse data products supporting a Singapore public-sector digital transformation. Core stack: Python, PySpark, SQL, AWS and Databricks, with data quality, governance, orchestration and CI/CD.
Senior Data Engineer, EconTech - Data Pipelines & AI
Senior Data Engineer at the Monetary Authority of Singapore's EconTech team, designing, building, and operating data pipelines that turn diverse data sources into trusted data products for economic policy analysis. Work spans data strategy, stewardship, governance, and AI-enabled data extraction.
Software Developer, Data Engineering
Senior data engineer at Robinhood's Toronto office who builds and maintains foundational datasets and scalable pipelines (Python, Spark, Airflow) feeding the data lake, powering analytics, experimentation, and ML across the company's financial products.