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Lead data engineer for GCash (the Philippines' leading fintech) who designs and builds scalable data pipelines feeding the data warehouse, ensures data quality, and optimizes ingestion for the tribe's data needs. Core stack: SQL, ETL, AWS Glue, Spark, Databricks, and Kafka.
Lead Data Engineer at ABC Fitness (software for fitness businesses) in Negros Occidental, Philippines: designs and owns CRM data-platform pipelines, lakehouse analytical models, and query infrastructure powering segmentation, audiences, and reporting. Core stack is SQL (MySQL, Redshift), AWS, Trino, and Apache Iceberg, with mentoring of other engineers.
Mastercard is hiring a Lead Data Engineer in Negros Occidental, Philippines, to build large-scale backend data systems, batch and real-time pipelines, and AI-powered agents for automation. The role centers on Scala, Python, and Java with Cloudera/Spark, AWS, and Databricks.
Data Engineer at ACC (New Zealand's government accident insurance agency) in Wellington, building and continuously improving scalable data pipelines, data products, and governed data to support trusted analytics and AI initiatives. Focus areas include security, data quality, and lineage across operational and analytical environments.
Data Engineer at ACC (NZ Government) building and improving scalable data pipelines, data products and governed data across enterprise cloud platforms, supporting analytics, AI and frontline services. Requires strong data engineering, CI/CD/DataOps and data governance skills; salary NZD 101,287–131,077.
Senior Analytics Engineer at La Trobe University who designs scalable data models and analytics-ready assets in an Azure, Databricks, and dbt environment, while contributing to data governance, quality, and mentoring others to support university decision-making.
An individual-contributor technical lead for carsales' Data Platform & Engineering team: provides cross-domain architectural direction, runs technical discovery, sets engineering standards, and mentors engineers while partnering with product leadership. Core stack includes Snowflake, dbt Cloud, Python, RabbitMQ, Postgres, and AWS.
Polluxa is hiring an Engineering Manager to lead its Dataverse team, which builds core models on the company's data platform. The role balances people leadership (coaching senior engineers, raising standards) with architecture and delivery oversight, working hybrid from Sydney or Melbourne.
A client-facing senior BI/data consultant working onsite in Melbourne's northern suburbs, gathering requirements and building dimensional data models, Power BI dashboards, and data pipelines using SSIS, SQL, and Python with row-level security for secure data access.
Builds and supports scalable cloud-native data solutions for Delivery Centric, with a strong focus on data modelling, ETL/ELT pipelines, and governance. The core stack is SQL with AWS data services (Glue, Redshift), Snowflake, and Python/PySpark in an Agile delivery environment. NSW, Australia-based role.
Senior Data Platform Engineer at carsales owning a significant domain of the company's data platform, building reliable and scalable data pipelines with Snowflake, dbt Cloud, RabbitMQ, Postgres and GitHub Actions. The role also involves mentoring teammates, setting standards for testing, observability and governance, and exploring AI tooling while protecting data privacy.
Senior engineer leading data acquisition on an NDIA (Australian government) data warehouse platform: hands-on platform development, maintaining data development documentation, reviewing data designs, and providing technical leadership and guidance to developers.
Senior (EL1) data engineer on the NDIA data warehouse platform in Adelaide: hands-on data platform development, updating data development documentation, guiding developers, and reviewing/approving data designs and models. Open only to Australian citizens residing in Australia with Baseline clearance.
BI and data integration specialist for Origin Energy designing, building and supporting Power BI reporting across Generation, LPG and Business Energy. Day to day involves developing Power BI datasets, supporting Power Platform components and building data pipelines on OriginFlow and Fabric-based lakehouse platforms. Brisbane preferred; Sydney/Melbourne considered.
Wesfarmers OneDigital's AI Build Squad is hiring an AI Data Engineer in Victoria to design and build the data components that AI/GenAI solutions depend on — pipelines, transformations, semantic models, and retrieval/RAG infrastructure — using Snowflake, Microsoft Fabric, Python, SQL, and vector search across Australia's leading retail brands.
Wesfarmers OneDigital is hiring an AI Data Engineer in Melbourne to design data components for AI/GenAI solutions and build and maintain data pipelines using Snowflake and Microsoft Fabric. Day to day involves RAG, embeddings, vector search and metadata/context design, with a strong focus on data quality, security and governance.
Senior Data Engineer at carsales (an online vehicle marketplace) who owns a significant domain of the data platform built on Snowflake, dbt Cloud, RabbitMQ, Postgres, and GitHub Actions. Day to day: Snowflake performance tuning and cost optimisation, dbt model architecture and standards, fault-tolerant pipeline design, incident escalation, mentoring, and stakeholder collaboration in a hybrid role
Customer Success Engineer at Veeam in the UAE owning long-term customer outcomes across the Veeam Data Platform: leading onboarding, adoption, and churn-risk management, plus using DR&R expertise for recovery simulations, protection plans, and resilience reporting. Requires strong English, VMCE, and cloud experience.
Data Engineer at Inception42 (a G42 company) in Abu Dhabi who builds scalable data pipelines and develops AI solutions on Azure — deploying AI agents, RAG pipelines and vector database integrations using Azure Agent Foundry, OpenAI, LangChain, Databricks, Python/PySpark, and containerized MLOps tooling.
Data engineer at Inception42 (a G42 company) in Abu Dhabi who builds scalable data pipelines and AI solutions using Azure Agent Foundry, OpenAI, LangChain, and Databricks, collaborating with data scientists, ML engineers, and product teams while supporting MLOps and DevOps processes.
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