job description
Join Globe Telecom in our mission to create a wonderful world through cutting-edge data engineering and analytics. As a Data Engineering Manager, you will lead a high-performing team to design, build, and optimize scalable data pipelines that power our digital transformation. Based in the vibrant tech hub of Bali, Indonesia, you’ll collaborate with cross-functional teams to turn raw data into actionable insights, driving innovation across our telecom and digital services.
This is a unique opportunity to shape the future of data infrastructure in Southeast Asia’s fastest-growing markets. If you’re passionate about big data, cloud technologies, and leading teams to deliver impactful solutions, we want to hear from you.
Responsibility
- Architect & Scale Data Pipelines: Design, develop, and maintain robust ETL/ELT processes to ingest, transform, and load large-scale datasets from diverse sources.
- Team Leadership: Mentor and manage a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
- Cloud & Big Data Optimization: Leverage cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Kafka) to enhance performance and cost-efficiency.
- Data Governance & Quality: Implement best practices for data integrity, security, and compliance with industry standards (e.g., GDPR, local regulations).
- Cross-Functional Collaboration: Partner with data scientists, analysts, and business stakeholders to align data solutions with strategic goals.
- Performance Monitoring: Establish KPIs and metrics to track pipeline efficiency, uptime, and data accuracy.
- Innovation & Automation: Drive automation initiatives to streamline workflows and reduce manual intervention.
- Vendor & Tool Evaluation: Assess and integrate new tools/technologies to keep our data stack at the industry’s forefront.
Qualifications
- Proven Experience: 7+ years in data engineering, with at least 3 years in a managerial or lead role.
- Technical Expertise: Proficiency in SQL, Python, or Scala; hands-on experience with big data frameworks (Spark, Hadoop) and cloud services (AWS/GCP/Azure).
- Leadership Skills: Demonstrated ability to lead, mentor, and scale high-performing engineering teams.
- Data Warehousing: Deep knowledge of data modeling, warehousing (Snowflake, Redshift, BigQuery), and lakehouse architectures.
- Problem-Solving: Strong analytical skills to troubleshoot complex data issues and optimize systems.
- Communication: Excellent verbal and written English skills to articulate technical concepts to non-technical stakeholders.
- Agile Mindset: Experience with Agile/Scrum methodologies and CI/CD pipelines for data workflows.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.