Together we do what matters.
About the Role
We are seeking experienced Databricks Data Engineers and Project Delivery Leads to join our Data & AI team in Australia. The roles involve designing, developing, and maintaining scalable data pipelines on Azure Databricks, as well as leading technology project implementations across Southeast Asia.
Qualifications
orientamentoal problem solving
Key Responsibilities – Databricks Data Engineer
- Design, develop, and optimize scalable data ingestion pipelines using Azure Data Factory, Databricks, and Apache Spark.
- Build and maintain Databricks notebooks with PySpark for data preparation, transformation, and enrichment to support Data Science use cases.
- Collaborate closely with Data Scientists to understand data requirements and ensure timely delivery of clean, structured datasets.
- Implement data quality checks, validation rules, and monitoring mechanisms.
- Integrate data from various sources, including structured, semi-structured, and unstructured formats.
- Ensure data security, governance, and compliance with banking regulations.




- Optimize Spark jobs for performance and cost‑efficiency in Azure.
- Participate in code reviews, design discussions, and agile ceremonies.
- Document data pipelines, workflows, and technical decisions.

Key Responsibilities – Project Delivery Lead
- Lead and deliver technology project implementations across multiple countries, ensuring successful execution within a regional delivery model.
- Interpret and manage contractual obligations, ensuring alignment with scope, commercial terms, and client expectations.
- Operate within consulting and solution implementation environments, driving structured delivery while adapting to client‑specific needs.
- Engage confidently with senior business stakeholders, manage escalations, navigate complex situations, and build long‑term, trusted client relationships.
- Apply technical expertise in Microsoft Opportunities, Dynamics 365 ERP/CRM, or equivalent t

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