Senior Data Engineer
Get to Know the Role
As a Data Engineer in the Lending Data Engineering team, you will collaborate with a diverse group of stakeholders across Southeast Asia. This group includes data modelers, product analysts, product managers, software engineers, and business leaders. You will design and manage scalable, end-to-end data solutions across acquisition, storage, processing, and consumption. These solutions will utilize technologies like Flink, Airflow, Spark, Kafka, and Trino. You will report directly to the Data Engineering Manager, with a full-time onsite working arrangement in our Jakarta Office.
The Critical Tasks You Will Perform
- Build and maintain scalable batch, real-time, and event-driven ETL pipelines using core AWS services (Glue, Redshift, Athena, Lambda, S3, EMR, Kinesis, MSK).
- Design and deploy modern data lifecycle frameworks supporting streaming, API-based, serverless, and batch consumption directly on the data lake.
- Establish robust data checks, automated cleansing routines, and governance best practices using tools like AWS Glue DataBrew to ensure high data reliability.
- Monitor, maintain, and optimize data platform infrastructure to guarantee high availability, low latency, and accurate, timely delivery of key business metrics.
- Master and leverage in-house data platform tools alongside native AWS technologies to streamline pipeline setup, execution, and real-time metric tracking.
- Collaborate across engineering teams to translate real-time data availability into actionable business definitions, driving data-informed decision-making.
What Essential Skills You Will Need
- 6+ years building scalable, fault-tolerant, and mission-critical data pipelines.
- Proficiency in Python, Scala, or Java; strong SQL, schema design, and data modeling skills.
- Expertise in big data frameworks (Flink, Spark, Trino, Airflow, Kafka) across SQL, NoSQL, and Columnar databases.
- Hands-on experience with AWS services (S3, EMR, Redshift, Athena, Glue, Kinesis) and event-driven architectures (SNS, SQS, Lambda).
- Experience for analytical. Experience communicating updates and resolutions to customers and other partners with a drive to learn and innovate.
- Degree in Computer Science, IT, Engineering, or a related technical field.
- Solid grasp of Data Structures, Algorithms, or Machine Learning concepts.
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.
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.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
Meet the Engineering team
From software developers to security specialists, our people thrive on experimenting with fresh ideas and implementing them for users. Solve real-world problems, find purpose in your work and work across borders to help drive Southeast Asia forward.
Engineering at Grab is synonymous with holding yourself accountable for impacting the lives of millions of partners, be it drivers, passengers or merchants. Every line of code can have a big positive or negative impact on our consumers, which is why every little change requires thorough thought processes and a deep understanding of systems and scale.
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Learning within the Engineering team never stops, especially with the sponsored learning resources. You need to stay curious and be willing to take ownership to join and succeed in the team.
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Everybody at Grab understands the necessity of balance. We all believe that what we’re doing here is important, we’re genuinely changing people’s lives for the better, but we also understand that this shouldn’t come at the cost of your personal life.
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The Application Process
What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like.
Step 1: Apply.
We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate.
Step 2: Getting to know you.
Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences.
Step 3: Testing, testing… 123.
Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details.
Step 4: Is it a culture match?
Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.
