Manager/ Senior Manager, Data Engineering & Architecture (9 month contract)

Borr Drilling; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A prominent health agency in Singapore is seeking a Data Engineer to join the Chief Data Officer’s Office. In this pivotal role, you will enhance data processes and work towards a comprehensive understanding of citizens' health and lifestyle data. Your expertise in data modeling, engineering, and stakeholder engagement will play a key role in the organization's successful data strategy implementation.

Qualifications

• Minimum 3 years of hands-on experience in data modeling and engineering.
• Proficient in coding (PySpark, Python, SQL) and adept with large datasets.
• Strong stakeholder engagement skills and a problem-solving mindset.

Responsibilities

• Design, develop and implement robust data processes and pipelines.
• Collaborate to drive continuous improvement in data interpretability.
• Apply testing methodology to validate quality data outputs.

Skills

Data Modeling

Data Engineering

ETL

Python

SQL

Data Cleaning

Education

Bachelor/Masters in Computer Science, Data Engineering or Information Systems

Job description

[What the role is]

Job Description Summary
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.

[What you will be working on]

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).

[What we are looking for]

Qualifications

• Minimum 3 years of hands-on experience in data modelling and engineering, systems implementation, or equivalent roles.

• Relevant work experience in data integration, analytics, system integration, working on data pipelines, including data extraction, transformation and load (ETL), basic exploratory data analytics (EDA), data cleaning, and/or feature engineering with a good understanding of information management practices including information lifecycle management, data modelling, master data management and carrying out business requirements gathering.

• Proficient in coding (PySpark, Python, SQL) 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, Data Engineering or Information Systems with major / project experience in data engineering and/or business analytics from a recognised university.
• Professional certifications in related fields from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines is also acceptable for the position