Senior Data Engineer

Public Service Division; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Housing & Development Board (HDB) in Singapore is seeking a data systems architect to shape scalable data platforms. You will design cloud-native architectures, lead data lakehouse initiatives, and collaborate with stakeholders to translate business needs into technical specifications.

You will build robust ETL/ELT pipelines, implement automated data quality checks, mentor junior engineers, and drive secure, compliant data operations across multi-cloud environments using Terraform and modern

Qualifications

• Minimum 3 years of experience in data systems architecture, data systems integration, and data pipeline setup at production scale.
• Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices, cloud security frameworks, IAM, network architecture, and distributed systems.
• Proven ability to translate business requirements into technical solutions.
• Excellent communication skills for presenting complex concepts to diverse audiences.
• Experience with cloud security frameworks, compliance requirements, and risk management.
• Hands-on experience with SQL, Python and Apache Spark.
• Hands-on experience with Apache Kafka, Airflow, or similar technologies.

Responsibilities

• Data Pipeline Infrastructure & Architecture: design scalable cloud-native data architectures.
• Lead development of Data Lakehouse solutions.
• Collaborate with stakeholders to translate requirements into technical specifications.
• Pipeline Development & Optimisation: build and maintain robust ETL/ELT pipelines.
• Optimise data processing workflows for performance, cost, and reliability.
• Implement automated data quality checks and monitoring.
• Data Systems Architecting & Solutioning: architect cloud-native Data & AI solutions.
• Lead cloud migration strategies across multi-cloud environments.
• Drive innovation by integrating Data & AI capabilities into platform architectures.
• Maintain architectural documentation and governance.

Skills

Data architecture

Cloud data platforms

SQL

Python

Apache Spark

Apache Kafka

Airflow

Terraform

Education

Bachelor’s degree in computer science, information technology, computer engineering or related field

Tools

AWS

S3

Glue

Lake Formation

Terraform

Job description

[What the role is]

The mission of Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB aims to be data-driven to the core and adopt evidence-based decision making in developing better policies, improving service delivery, and optimising operations.

[What you will be working on]

• Data Pipeline Infrastructure & Architecture
• Design and implement scalable data architectures on cloud data platforms with high availability, security, and performance
• Lead development of Data Lakehouse solutions
• Collaborate with stakeholders to understand requirements and translate them into technical specifications
• Pipeline Development & Optimisation
• Build andmaintainrobust ETL/ELT pipelines using modern data engineering tools and frameworks
• Optimise data processing workflows for performance, cost-effectiveness, and reliability
• Implement automated data quality checks and monitoring systems to ensure data integrity
• Data Systems Architecting & Solutioning
• Design and architect comprehensive cloud-native Data & AI solutions aligned with businessobjectivesand technical requirements
• Lead cloud migration strategies and oversee implementation of complex multi-cloud environments
• Drive innovation through integration of Data & AI capabilities into HDB’s Data & AI platform product architectures
• Conduct technical assessments and recommend modernised approaches using cloud native technologies
• Maintain architectural documentation
• Cloud Platform Operations
• Leverage Cloud Native Services to build and manage data infrastructure
• Implement infrastructure as code practices using Terraform
• Ensure compliance with security standards and data governance policies
• Technical Leadership & Collaboration
• Mentor junior data engineers andprovidetechnical guidance on complex challenges
• Participate in architectural reviews and contribute to data strategy evolution

[What we are looking for]

• Bachelor’s degree in computer science, Information Technology, Computer Engineering, or related field
• Minimum 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale
• Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems
• Proven ability to translate business requirements into technical solutions
• Excellent communication skills for presenting complex concepts to diverse audiences
• Experience with cloud security frameworks, compliance requirements, and risk management
• Experience in data domains (e.g.DataOps, Data Lakehouse) and AI/ML Domains (e.g.MLOps,LLMOps)
• Strong Knowledge and Hands-on experience with SQL, Python and Apache Spark
• Hands-on experience with Apache Kafka, Airflow, or similar technologies

Good to Have:

• Proficiencyin Amazon Web Services (AWS) services
• Relevant cloud certifications (e.g. AWS Solutions Architect Professional, AWS Data Engineer Associate) would be an advantage
• Experience with Data & AI cloud-native services (e.g. Amazon SageMaker Unified Studio, Amazon Quick Suite, AWS S3, AWS Glue, AWS Lake Formation, AWS Bedrock, AWS Agent Core).
• Familiarity with serverless computing, edge computing, and IoT architectureswould be an advantage.
• Experience with machine learning operations (MLOps) and ML model deployment pipelines
• Knowledge of data governance frameworks and metadata management tools
• Familiarity with data visualisation tools and business intelligence platforms

Successful candidates will be offered a1+1 yearcontract in the first instance.