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Senior Data Engineer builds and maintains property data pipelines, APIs, and platforms using BigQuery, Airflow, Kafka, and TypeScript/Python to power real estate data products in Melbourne.
Design, build, train, and deploy predictive models using machine learning and deep learning to solve business problems, with a focus on regression, classification, NLP, and computer vision using Python, TensorFlow/PyTorch, and SQL.
Lead and mentor engineers to design, build, and evolve secure, scalable platform capabilities for CommBank’s banking technology stack, using modern cloud and DevOps practices.
Leads data platform implementations (warehouses, lakes, BI) while reviewing projects for quality and advising clients on fit-for-purpose analytics solutions using SQL, Python, and cloud platforms like Snowflake or BigQuery.
Designs and maintains scalable data pipelines and ML systems to power marketing, sales forecasts, and user engagement for a global rewards platform, using Python, Spark, Snowflake, and Airflow.
Designs and maintains data pipelines and infrastructure to power AI models for Singapore's land transport network, integrating real-time sensor feeds, transit data, and cloud-based systems.
Design and maintain cloud-native data pipelines and AI-driven analytics tools using AWS Glue, Redshift, and Python to build scalable data architectures and language model applications.
Senior Data Engineer builds and maintains a cloud-native data platform in AWS, Azure, and Snowflake to centralize financial post-trade data, enabling secure reporting and analytics for LSEG’s global markets infrastructure.
Builds and maintains data pipelines and models to deliver business insights, using SQL, Python, Spark, and AWS, while collaborating with cross-functional teams.
Build and deploy AI/ML models and MLOps pipelines using cloud AI services, Docker, FastAPI, and MLflow. Focus on production-grade systems, CI/CD, and model lifecycle management.
Build and optimize a cloud data warehouse and ETL pipelines for an edtech startup, enabling scalable analytics and reporting over a two-month contract.
Lead the design and delivery of advanced ML/AI solutions for clients, building and deploying scalable models and pipelines using Python, SQL, and cloud tools like GCP.
Analyze customer and product data to uncover trends and behaviors that drive adoption and retention, then translate insights into actionable strategies for Zendesk’s product and GTM teams using SQL and data visualization tools.
Build and maintain ETL/ELT pipelines in Python (FastAPI, Spark, Scala) to turn drug and clinical data into reliable datasets for healthcare SaaS products.
Build and scale enterprise data pipelines for retail analytics and AI/ML, integrating POS, ecommerce, and third-party data to power modeling and executive decisions.
Senior Data Scientist building ML pipelines, features, and models for a Brazilian Banking-as-a-Service platform, deploying and monitoring jobs to power financial products.
Designs and operates a secure, scalable cloud data platform (Databricks, Snowflake, Azure/AWS) to power analytics and AI for a global wealth-management and asset-servicing firm.
Lead, grow, and retain multiple high-performing engineering teams spanning full-stack, data engineering, and AI/agentic AI builders. Own end-to-end delivery, quality, reliability, and operational health of cloud-native…
Build and maintain scalable cloud-based data pipelines and warehouses to integrate healthcare data, using tools like Spark, Airflow, and BigQuery.
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