Lead Data Engineer – Azure

Rabobank

Lead Data Engineer building and optimising Azure data platforms for Rabobank, a specialist food and agribusiness bank. Driving scalable pipelines, governance, security, and data-driven decisions.

Posted 8/19/2026full-timeSydney • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing enterprise-scale data platforms on Microsoft Azure, with a strong focus on data engineering best practices, data governance, and lifecycle management. Proven ability to deliver high-quality data solutions and collaborate effectively with cross-functional teams to drive data-driven decision making.

Highest-signal resume keywords

Azure Data Factory (ADF)Data Pipeline DevelopmentSQL Database OptimisationPython DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingETL/ELT ProcessesData ModellingPerformance TuningData Quality MonitoringAzure DatabricksAzure Data Lake Storage (ADLS)Azure Synapse AnalyticsAzure SQL

Soft Skills

CollaborationProblem SolvingContinuous ImprovementKnowledge Sharing

Tools & Technologies

Azure DevOpsCI/CD PipelinesGitEvent-Driven ArchitecturesMicrosoft FabricMicroservicesAPIs

Certifications & Qualifications

Microsoft Certifications

Industry Keywords

BankingFinancial ServicesInsuranceData GovernanceCompliance Frameworks

Tech Stack

Tools & technologies

AzureETLMicroservicesPySparkPythonScalaSQL

About the role

Key responsibilities & impact

Design, build, operate and evolve local data platforms
Drive advanced analytics and data-driven decision making
Lead the design, build, operation and optimisation of enterprise-scale data platforms on Microsoft Azure
Deliver high-quality data engineering solutions and project milestones within agreed timelines and scope
Ensure effective platform operations, lifecycle management and service reliability
Resolve production issues and service requests in a timely manner
Maintain data loads and platform performance in line with defined SLAs
Ensure accurate data reconciliation and validation across source systems
Optimise ETL/ELT processes, performance and storage costs
Collaborate with Business Analysts, Architects, Data Engineers and business stakeholders
Champion engineering best practices, continuous improvement and knowledge sharing across the team
Define data strategy and strengthen governance and security
Partner with business and technology teams to unlock the value of data

Requirements

What you’ll need

10+ years' experience in Data Engineering or Data Warehousing roles designing scalable, resilient data solutions
Strong hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics and Azure SQL
Proven experience designing, building and maintaining scalable data pipelines and integration solutions
Strong understanding of modern data engineering principles, Lakehouse architecture and data lifecycle management
Expertise in SQL, data modelling, performance tuning and database optimisation
Experience with data quality, validation, monitoring and troubleshooting
Strong development skills in Python, PySpark and/or Scala
Knowledge of data governance, security, privacy and compliance frameworks
Experience with DevOps practices, CI/CD pipelines, Git and Azure DevOps
Experience with data ingestion frameworks and event-driven architectures
Exposure to Microsoft Fabric, Microservices and APIs
Experience within Banking, Financial Services and Insurance (BFSI) environments is highly regarded
Microsoft Certifications

Benefits

Comp & perks

Wellbeing leave: 2 extra leave days
Education Assistance Program for professional development
Parental Leave: up to 14 weeks paid leave
4 weeks Annual Leave
Incentive for eligible employees to receive 1 extra week Annual Leave
Option to purchase another 2 weeks Annual Leave
Employer-funded Death, TPD & Income Protection Insurance for eligible permanent employees
Rabo Workplace Giving program
Employee donation matching to selected Social Partners
Flexible hybrid working model of office and working from home