Manager, Data Engineering & Architecture

At the Health Promotion Board (HPB), we’re on a mission to transform data into actionable health insights that drive positive change to our citizens!
HPB is currently working towards a 5-year Precision Public Health (PPH) strategy to deliver more personalised and engaging lifestyle programmes to sustain holistic health habits at a population level. With this aim in mind, the Chief Data Officer’s Office (CDOO) is positioned to oversee the development and implementation of HPB’s data strategy, ensuring alignment with organisational goals and maximising impact of data on business decision making.
Recognising the efficacy of big data and artificial intelligence in optimising sharper insights and outcomes for public health, the CDOO’s Data Engineering and Architecture department takes a proactive role to drive the design of a 360- degree view citizen-centric data architecture and engineer future-proofing data architecture to support evolving organisation needs while enhancing data interpretability, quality and competencies to support the transformation in programme delivery and enablement of an evidence-based, data-driven approach to programme evaluation.

Role Overview

As a Data Engineer in the Chief Data Officer’s Office at HPB, you’ll play a pivotal role towards realising our data strategy and making a real impact on citizens’ lives. Our vision? To create a more data-centric HPB by enabling a comprehensive 360-degree view of citizens across socio-demographics, health, and lifestyle domains.

What You’ll Do

Enhancing the 5Vs (Velocity, Volume, Value, Variety and Veracity) of Data, Empowering Users, Collaborators and Facilitating Seamless Data Sharing

• Design, develop and implement robust processes, data pipelines automation for secure and efficient data fusion, data exploitation and data sharing.
• Deepen your understanding of HPB business workflow and becoming the data domain’s subject matter expert for the data interpretation and nuances.
• Apply testing methodology to validate quality data outputs post-data fusion to ensure safe use of data by safe users for the safe purposes.
• Collaborate with partners and cross-teams to benchmark best practices and drive continuous improvement in driving processes that enable data interpretability and searchability (e.g. data catalogues, data classification, data concierge services).

Qualifications

• Relevant work experience in data integration, analytics, statistics, data science, public health, or epidemiology.
• Minimum 5 years of experience in data modelling and engineering, systems implementation, or equivalent roles.
• Basic proficiency in coding (Python, R) and adeptness with large datasets.
• Strong stakeholder engagement skills coupled with strong process-oriented qualities and the ability to quickly grasp business requirements.
• Problem-solving mindset and adaptability in a fast-paced environment.
• Bachelor/Masters degree in Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university. Professional certifications in data science and business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines is also acceptable for the position