Senior Manager Data Engineering

Posted Yesterday
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Singapore
Senior level
eCommerce • Financial Services
The Role
The Lead MLOps Engineer will manage data science infrastructure, streamline model development, build scalable data pipelines, and implement big data frameworks. Responsibilities include optimizing the system, creating dashboards, supporting production models, and mentoring team members.
Summary Generated by Built In

About The Role


As Senior Manager Data Engineering you should possess a comprehensive set of data engineering skills, data architecture abilities to create robust and efficient data services and pipelines, data warehouse modeling expertise to provide high-quality and purpose-fit analytical data, and business analytics skills to deliver data-driven insights. Additionally, you should be a people manager, which includes coaching your team members in executing their tasks, clearing technical and organizational blockers for them, and mentoring them on their career goals and skill development.


What You Will Do

  • Liaise with our stakeholders to understand their needs and convert them into technical requirements.
  • Manage data engineering and machine learning engineering infrastructure, and design and build scalable data pipelines/services to support business data requirements.
  • Build data models, dashboards, and deliver insights to support business analytics.
  • Identify potential bottlenecks in the system and implement optimization strategies to improve system performance, reduce costs, and enhance efficiency.
  • Manage team members through regular stand-up meetings, one-on-one meetings, code reviews, and provide constructive feedback on technical and soft skills.

What You Will Need

  • At least 7 years of hands-on experience at large scales in data engineering, data science, or software engineering.
  • At least 2 years of proven leadership managing a technical team.
  • Strong knowledge and adherence to software engineering best practices, with experience in Kubernetes, Infrastructure as Code, and CI/CD.
  • Strong data architecture skills and expertise in designing and implementing scalable data architectures, including both streaming and batch processing pipelines.
  • Familiarity with data warehouse modeling concepts and techniques, along with the ability to write efficient and maintainable SQL queries.
  • A solid understanding of machine learning engineering, model development lifecycle, and techniques.
  • A good grasp of business intelligence, including designing and creating interactive dashboards, visualizations, and reports.
  • Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

About The Team

Our data team is part of GoToFinancial Consumer Lending and mainly supports two products: GopayLater and GopayPinjam. The team includes members from offices in Jakarta, Singapore, and Bangalore. We collaborate closely with the Risk, Finance, Growth, and Product teams, assisting them with their data requests on a daily basis.


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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Top Skills

Python
Shell
SQL
The Company
Jakarta, Jakarta
944 Employees
On-site Workplace
Year Founded: 2021

What We Do

GoTo is the largest technology group in Indonesia, combining on-demand, e-commerce and financial services through the Gojek, Tokopedia and GoTo Financial brands. It is the first platform in Southeast Asia to host these three essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure. GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.

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