Data Engineer

Responsibilities

• Champion Data Access and User Experience
• Evaluate and coordinate data requests from business users, serving as their trusted advisor to understand requirements and recommend the most suitable datasets for their objectives.
• Transform complex data availability assessments into clear, actionable guidance, helping users navigate HPB's data ecosystem with confidence.
• Collaborate seamlessly with requestors, data operations team, and domain data engineers to ensure swift and effective fulfilment of approved data requests.
• Deliver Excellence in Data Engineering andService
• Design and implement robust data extraction and delivery processes that meet diverse business needs whilst maintaining high standards of accuracy and security.
• Orchestrate recurring data contributions to government partners, ensuring seamless coordination from ingestion through to compliant, timely delivery.
• Ensure all data services comply with established governance framework and access control standards, maintaining trust and reliability.
• Enhance Data Discovery and OrganisationalIntelligence
• Curate and maintain comprehensive metadata for HPB's data discovery platform, ensuring datasets are accurately described and easily discoverable for informed decision-making.
• Collaborate with data owners and engineering team to elevate metadata quality, creating comprehensive catalogues that empower users to find and utilise data effectively.
• Continuously improve dataset descriptions, classifications, and catalogue information to enhance the user experience across the organisation.
• Provide Expert Support and ContinuousInnovation
• Deliver exceptional Level-1 support through the CDOO service management system, providing triaging and guidance that keeps operations running smoothly.
• Identify and champion process improvements that enhance service quality, reduce turnaround times, and elevate user satisfaction across all data service touchpoints.
• Maintain comprehensive documentation and knowledge systems that support operational excellence and team development.

Requirements

• Minimum 2 years in data engineering, operations, analytics support, integration, or metadata management roles at Associate consultant level. Public health experience is advantageous.
• Education:
• Technical Proficiency:
• SQL (Structured Query Language) and PySpark and/or Python with hands-on experience in structured datasets and data transformation processes
• Cloud-based data platforms, preferably Microsoft Azure, including Databricks and enterprise data warehouse environments
• Data governance, metadata management, and data catalogue concepts
• Core Competencies:
• Exceptional stakeholder management and communication abilities
• Strong analytical and problem-solving mindset with service-oriented approach
• Process-oriented thinking with ability to translate business requirements into actionable data solutions
• Attention to detail and commitment to operational excellence
• Advantageous Skills:
• Microsoft Purview and Unity Catalog experience
• Professional certifications in cloud, data engineering, data governance, or analytics domains

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Company Intel

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