Lead Data Engineer

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to know our Team

At GrabFin, we empower the people of Southeast Asia, from consumers and drivers to every-day entrepreneurs, by ensuring financial inclusion for the underserved. The team is building solutions by enabling our partners (i.e. drivers and merchants) to get access to financial services (lending and insurance) products for their everyday needs.

Get to know the Role

We are seeking a visionary Lead Data Engineer to join our innovative team in Jakarta, Indonesia. As a key member of our data engineering department, you will be responsible for designing, implementing, and maintaining our data infrastructure to support critical business decisions and drive organizational growth.

The Critical Tasks You Will Perform 

• Architect and develop robust, scalable data pipelines to ensure seamless data flow across multiple systems
• Optimize data processing workflows for enhanced performance, scalability, and reliability
• Establish and enforce data governance policies to maintain data quality, integrity, and regulatory compliance
• Implement advanced security measures to protect sensitive data and ensure data privacy
• Design and refine data models that support both analytical and operational use cases
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide innovative solutions
• Mentor and guide junior data engineers, conducting regular code reviews and providing constructive feedback
• Monitor data systems, implement automated alerting solutions, and resolve issues to ensure high availability and performance
• Stay current with industry trends and emerging technologies in the data engineering field

Qualifications

What Essential Skills You Will Need 

• 7+ years of experience in data engineering or related roles within large-scale data warehouse environments
• Proven expertise in designing and implementing data pipelines using tools such as Airflow and Fargate
• Strong proficiency in working with cloud-based data warehousing solutions, particularly Amazon Redshift
• Extensive experience with APIs and Web Application platforms
• Advanced skills in data modeling, data warehousing concepts, and ETL processes
• Proficiency in SQL and Python programming languages
• Solid understanding of data governance principles and security best practices
• Experience with cloud platforms such as AWS, Azure, or GCP
• Demonstrated ability to solve complex problems and guide technical teams
• Excellent communication and collaboration skills, with the ability to work effectively across departments
• Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred)

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.

• With GrabFlex, create a benefits package that suits your needs and aspirations.

• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave

• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.