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.