SENIOR DATA ENGINEERING MANAGER

SPH Media’s mission is to be the trusted source of news on Singapore and Asia, to represent the communities that make up Singapore, and to connect them to the world.
It has several business segments in the media industry, including the publishing of newspapers, magazines, and books in both print and digital editions. It also owns and operates other businesses including radio stations and outdoor media.

REQUIRED SKILLS & EXPERIENCE

• Strong proficiency in SQL for data modeling, querying, and transformation.
• Advanced Python development skills for data engineering use cases.
• Proven experience in AWS services (S3, Glue, Lambda, RDS, Lake Formation, Athena, Kinesis, EMR, Step Functions).
• Strong expertise in Terraform for infrastructure provisioning.
• Proficiency in CI/CD tools (e.g., GitHub Actions) and Git branching strategies.
• Hands-on experience with big data technologies such as Spark, Hive, Kafka, Hudi, or Iceberg.
• Ability to design BI-ready data models (dimensional modeling) and implement BI frameworks.
• Solid understanding of data governance, data quality, and security frameworks .
• Strong communication skills to explain complex data and analytics concepts to stakeholders.
• Leadership experience, including mentoring teams and managing deliveries.

PREFERRED QUALIFICATIONS

• 7+ years of relevant hands-on experience in data engineering, solution architecture, or analytics roles.
• 5+ years of team leadership or people management experience.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience with BI tools (Tableau, QuickSight, etc.) and query engines (Presto, Trino).
• Familiarity with Agile methodologies and enterprise-scale data platform implementations.

• Data Pipeline & Architecture
• Design, build, and optimize scalable, reliable data pipelines (batch and streaming) and ETL/ELT workflows using SQL, Python, and big data technologies.
• Lead data architecture discussions, including the design and review of ERDs, data models, and system design.
• Build and maintain transactional and analytical schemas for data lakes, warehouses, and marts.
• Cloud & Infrastructure
• Implement and manage cloud-based data platforms (AWS preferred; Azure/GCP experience a plus) ensuring scalability, reliability, cost efficiency, and security.
• Deploy and manage infrastructure using Terraform and other IaC tools.
• Develop and maintain CI/CD pipelines (e.g., GitHub Actions) for deploying data applications and services.
• Apply best practices for cloud infrastructure, including cost management, security, redundancy, and performance optimization.
• Data Quality, Governance & Security
• Drive data quality, governance, and compliance across product and business areas.
• Implement data encryption, hashing, and privacy protection mechanisms.
• Adhere to Master Data Management (MDM) principles and enterprise data governance policies.
• Analytics & Business Impact
• Partner with product, engineering, data science, and business teams to deliver business outcomes through data-driven products.
• Deliver audience and behavioral analytics, KPIs, dashboards, and reporting.
• Propose solutions for BI dashboards and enterprise data needs.
• Support the democratization of data across the organization.
• Leadership & Collaboration
• Lead a team of data engineers, taking ownership of decisions and deliveries.
• Mentor and guide engineers in best practices, architecture, and performance optimization.
• Manage stakeholder relationships, roadmaps, and expectations.
• Work with diverse stakeholders across domains including sales, marketing, advertising, engineering, and publishing.
• Follow Agile methodologies (Scrum) for project delivery.