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Build and own the core data platform that powers analytics and products for Malaysia’s national payment systems using Python, Kubernetes, and cloud-native data infrastructure.
Designs and leads a multi-cloud data ingestion framework, building scalable, cloud-agnostic pipelines for batch and streaming data across hybrid environments.
Lead analytics engineering to design experiments, build data models, and derive insights that guide product decisions across the user lifecycle.
Designs and leads the build of scalable, secure GCP data ingestion pipelines using BigQuery, Dataflow, Pub/Sub and Cloud Storage for large batch and streaming workloads.
Senior Data Engineer builds and optimizes Azure Databricks pipelines, migrates Synapse notebooks, and designs Delta Lake models for a global data consultancy serving financial clients.
Build and maintain Azure-based data pipelines, optimize SQL warehouses, and create Power BI dashboards using Python and ETL tools.
Design and build scalable data pipelines and analytics infrastructure using Python, Spark, and AWS for large-scale data processing and real-time streaming.
Lead a team building and scaling icare’s enterprise data platform using Snowflake and AWS tools, enabling insights, automation, and future AI use cases.
Lead the design and build of Hunter Water’s modern cloud data platform using Azure, Snowflake, Databricks and Azure Data Factory to support analytics and future AI initiatives.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for a financial client, migrating Synapse workloads to Delta Lake and creating scalable data ingestion frameworks.
Build and maintain Kafka-based event-driven pipelines and data ingestion systems for a trading environment, integrating market data, risk, and valuation systems.
Designs and builds real-time data pipelines on AWS using PySpark, Airflow, and Redshift to power enterprise-scale analytics and insights for an HR-focused SaaS platform.
Build and optimize GCP and BigQuery data pipelines for analytics, ensuring cost efficiency and adherence to engineering principles while collaborating with product owners and SMEs.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and AI/ML platforms to create reusable datasets and enable customer-centric analytics and AI solutions.
Senior Data Engineer builds and maintains scalable data platforms in Python/SQL, designing ETL pipelines and ensuring data security for analytics and reporting at a social-services nonprofit.
Data Engineer | Sydney, NSW We are looking for an experienced Data Engineer (9–14 Years) to join a high-performing team delivering enterprise-scale data platforms and real-time data solutions on AWS. Must Have Skills…
At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup to a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations…
Build and maintain scalable data pipelines and event-driven architectures for a trading environment using Kafka and modern data platforms.
Build and maintain Jetstar’s Snowflake-centric cloud data platform, designing scalable pipelines and enforcing data quality to power analytics and evidence-based decisions across the airline.
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…
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