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AWS Data Engineer: PySpark & Databricks for HealthTech
Build and maintain secure, scalable data pipelines on AWS and Databricks to process clinical data for health analytics, using PySpark, Python, and SQL.
Data Engineer Analyst (Fabric, Power BI)
Build and maintain data pipelines and Power BI reports using Microsoft Fabric and Azure services to deliver analytics and reporting solutions.
Data Engineer Consultant (Fabric, Power BI)
Builds scalable data pipelines and Power BI dashboards using Microsoft Fabric to deliver analytics and insights for clients.
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Amazon Web Services (AWS) Data Engineer — Network Operations & Fabric Analytics
Build and maintain AWS-based ETL/ELT pipelines and data models for network operations, ensuring data quality and migrating legacy systems to cloud-native platforms.
GCP Data Engineer: Real-Time Pipelines & BigQuery
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub and Cloud Storage, focusing on batch and streaming ETL/ELT workflows and BigQuery data models.
GCP Data Engineer — BigQuery & Dataflow Architect
Design and build scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to process petabyte-scale data for analytics and ML workloads.
Data Engineer — PySpark, ADF & ETL Specialist
Build and maintain ETL/ELT pipelines using PySpark and Azure Data Factory to process large-scale data operations.
Data Engineer-GCP
Build and maintain scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Data Engineer-GCP
Designs and builds scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Google Data Engineer - GCP
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to process petabyte-scale data for analytics and ML, ensuring reliability and security.
Data Engineer-GCP
Builds and maintains scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python, SQL, and Apache Beam/Spark.
Databricks Data Engineer - Cloud Pipelines Architect
Designs and builds end-to-end cloud data pipelines on Databricks for a large resources-sector company, focusing on ETL/ELT, data governance, and platform engineering.
Data Engineer (Sydney Australia)
Build and modernise client data pipelines using Microsoft/Azure tech, then deliver analytics tools that turn raw data into business insights across industries.
Data Engineer - Cloud Pipelines & Enterprise Analytics
Design and maintain cloud data pipelines and enterprise analytics systems to deliver high-quality data for business decisions.
Data Engineer (Financial Analytics focus)
Build and optimize financial reporting pipelines and data warehouses using PostgreSQL, Airflow, and ELT/ETL best practices to deliver accurate trading analytics.
GCP Data Engineer: BigQuery, Pipelines & Streaming
Designs and builds scalable batch and streaming data pipelines on GCP using BigQuery, Dataflow, Pub/Sub, Python, and SQL for ETL/ELT workflows.
2-3x Lead Data Engineer
Lead Data Engineer builds and optimizes scalable ETL pipelines and Teradata data models for a large Australian government agency’s cloud data platform.
AWS Data Engineer
Build and maintain scalable PySpark and AWS data pipelines for a healthcare SaaS platform, ensuring secure, compliant data flows between clinical systems and the product.
Data Engineer (Snowflake)
Build and implement a Snowflake-based data warehouse from scratch, designing pipelines, models, and governance for a new analytics platform.
Data Engineer
Design and build scalable cloud data pipelines and platforms to power analytics and AI across Serco’s operations in Australia and Asia Pacific.