Top Data Engineer Jobs in George Town

Provide L2 database operations support (incident, request, change, problem management) with 24/7 coverage. Ensure SLAs, MTTR, backups, access controls, and security compliance. Install/upgrade/patch databases, monitor and analyze performance, develop operational procedures, build reports/dashboards, and leverage AI/agentic automation to improve IT operations and reliability.

The Sr IT Engineer provides L2 support for database operations, ensuring system availability, managing incidents, and improving monitoring and reporting processes.

Design, build, and maintain data pipelines and Azure data warehouse infrastructure. Ensure data quality, governance, performance tuning, automation, and provide BI insights using Power BI or QlikSense.

Design, build, and maintain scalable ETL and real-time data processing systems on Databricks and AWS. Develop Spark-based pipelines, ensure data quality and governance, implement security controls, automate infrastructure with Terraform, and collaborate with analysts and engineers to resolve issues and optimize performance.

Design, build, and deploy ML and advanced process control models (FD, R2R, APC) for manufacturing yield and quality. Perform EDA across manufacturing data, validate data quality, monitor and retrain models, and drive continuous improvement with cross-functional teams using Python, SQL, Spark and ML frameworks.

The Staff Data Platform Engineer will design, build, and maintain scalable backend services and data pipelines, promoting cloud-native solutions and collaborating across teams to enhance analytics and operational intelligence.

Provide day-to-day operational support for Back End (BE) Operations and ATO governance, maintain and enhance governance databases, produce reports and dashboards, perform data analysis, coordinate cross-site stakeholders, execute improvement actions, and support process consistency and continuous improvement across BE sites.

Support and optimize large-scale Spark/YARN jobs and storage (S3/EMR). Build job-profiling, cost-analysis, AI-assisted automation, monitoring/alerting (Prometheus, Flink/Spark), and internal ops tooling to improve stability and reduce costs.

Lead mechanical design for data centre projects in Sydney, overseeing performance, energy efficiency, project delivery, client engagement, and mentoring junior engineers while incorporating industry innovations.

The Senior Data Engineer will design scalable data platforms, develop data pipelines, and mentor junior engineers, ensuring data quality and integration from various sources.

Design and execute tests for end-to-end data flows across MongoDB and Azure services, automate UI/API/data-layer tests, validate Power BI reports and SQL/MongoDB transformations, integrate tests into CI/CD, and collaborate with engineering and product teams to identify, document, and resolve data defects.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Design and build scalable cloud data platforms and ETL/ELT pipelines to enable AI/ML and manufacturing analytics. Deliver data products, dashboards, and self-service analytics while ensuring data quality, governance, security, and operational excellence. Partner with stakeholders to apply data and AI to business challenges.

Combine supplier quality engineering with data analytics to build ELT pipelines, validate data, create automated Spotfire/Power BI dashboards, perform statistical modeling to monitor and predict manufacturing variances, and drive continuous improvement with supplier and internal teams. Provides rotational weekend support.

Lead site-based CSA activities for data centre projects: manage contractors, ensure compliance with design, safety and quality, coordinate stakeholders, produce reports, and support project leadership.