Data Engineer
Jakarta
HoldCo - CIO – - /
Permanent /
On-site
As an Enterprise Data Engineer, you’ll be instrumental in the development and maintenance of Data pipelines for the Finance Function of GoTo that supports Accounting, Planning and Taxation functions to automate various processes and providing data required for finance reporting.
What You Will Do
- Design end-to-end scalable data infrastructure, including Data Warehouse (DWH) and analytics architecture.
- Build and maintain integrated data pipelines that support complex business and financial operations.
- Develop high-quality code and scripts using SQL and Python for data processing and automation.
- Create and optimize data solutions such as databases, dashboards, and analytics tools to meet evolving business needs.
- Conduct system and integration testing, ensuring compliance with organizational standards for metadata and access protocols.
- Implement robust data quality checks and monitoring systems for efficient data collection, storage, and retrieval.
- Collaborate with Engineering and cross-functional teams to align on data architecture, governance, and best practices.
- Analyze complex datasets to uncover insights, resolve issues, and support data-driven decision-making across domains.
- Drive innovation by contributing to open-source projects and advancing internal data tools and practices.
What You Will Need
- 2+ years of experience as a Data Engineer with a degree in Computer Science, Statistics, Informatics, or a related field.
- Strong knowledge of big data stacks and tools, including:
- -- Big Data DBs: MaxCompute (AliCloud), BigQuery (GCP), Azure (MS)
- -- Distributed systems: Spark, Hadoop, Presto, Hive
- -- Message queueing: Kafka, NSQL
- -- Databases: PostgreSQL, MySQL, Cassandra
- -- Data pipeline tools: Airflow
- -- Languages: Python, Java, C++, Scala
- Proficient in SQL, data programming, and building relational database queries.
- Deep understanding of data architecture, database structures, warehousing, and data mining concepts.
- Skilled in designing, building, and optimizing scalable data pipelines and infrastructure.
- Experience with cloud platforms (GCP preferred) and UNIX environments.
- Ability to implement robust data quality checks, monitoring, and automation processes.
- Strong analytical skills for investigating issues and identifying patterns in complex data sets.
- Excellent communication and teamwork skills in cross-functional and international settings.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
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