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Data Platform Engineer

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Job Description - Data Platform Engineer

Data Platform Engineer

As a Data Platform Engineer, you will be responsible for designing, building, and evolving scalable data platforms and pipelines that enable enterprise applications, analytics, and AI-driven products. 

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines, ingestion frameworks, and transformation processes.
  • Build and optimise data models to support analytics, reporting, operational systems, and AI use cases.
  • Develop robust ETL/ELT solutions to enable efficient and reliable data movement across enterprise platforms.
  • Support integration with enterprise data architectures and evolving cloud-based data ecosystems.
  • Ensure data solutions align with governance, security, compliance, and enterprise architecture standards.
  • Build automated data pipelines to support scheduled and real-time production workloads.
  • Deliver production-ready data services, APIs, and reusable data assets for business and engineering teams.
  • Implement data quality, validation, and integrity controls through testing, monitoring, and automation.
  • Support migration and optimisation of legacy data processes into scalable, enterprise-grade solutions.
  • Embed quality assurance practices throughout the data engineering lifecycle, ensuring all deliverables meet Definition of Done standards.
  • Contribute to data observability, troubleshooting, incident resolution, and continuous platform improvement.
  • Partner with Platform, Full Stack, AI, and business teams to deliver integrated data capabilities.
  • Support Agile and sprint-based delivery models, contributing to iterative product development.
  • Promote reusable data engineering patterns and engineering best practices across projects.
  • Maintain technical documentation and contribute to data governance and operational processes.
Required Skills & Experience:
  • Proven experience designing, building, and maintaining enterprise data platforms and data pipelines.
  • Strong expertise in ETL/ELT processes, data integration, and data modelling techniques.
  • Advanced SQL and Python programming skills.
  • Experience with Azure data services, including Azure SQL, Blob Storage, Microsoft Fabric, or equivalent cloud data technologies.
  • Experience working with modern data processing frameworks and scalable data architectures.
  • Strong understanding of data governance, validation, versioning, and quality management principles.
  • Experience delivering production-ready, scalable data solutions.
  • Familiarity with APIs and data services integration.
  • Knowledge of monitoring, observability, and operational support for data platforms.
Professional Skills:
  • Strong analytical and problem-solving capabilities.
  • Experience working within Agile delivery frameworks and sprint-based environments.
  • Ability to collaborate effectively across engineering, AI, platform, and business teams.
  • Excellent communication and technical documentation skills.
  • Commitment to continuous learning and adoption of emerging data and AI technologies.
Original job Data Platform Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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