Senior Data Engineer

PT Amartha Mikro Fintek; Daerah Khusus Ibukota Jakarta; On-site; USD 15.000 - 25.000; Full time

Job summary

A leading fintech company in Indonesia is seeking a Junior Data Scientist to tackle real business challenges through data engineering and collaboration. The role involves developing data services and frameworks, working with diverse stakeholders, and contributing to a data-driven culture. Ideal candidates will possess a relevant degree and proficiency in essential tools like Docker and Kubernetes.

Qualifications

• Bachelor’s / Master's degree in engineering or quantitative fields.
• Proficient in Docker and Kubernetes.
• Experience with data engineering tools preferred.

Responsibilities

• Develop and maintain data engineering services.
• Collaborate with teams to build integrated analytics solutions.
• Research data and ML/AI engineering tools.

Skills

Data wrangling

Problem-solving

Communication

Cloud networking

DevOps best practices

Docker

Kubernetes

Data engineering tools

Education

Bachelor’s / Master's degree in engineering or quantitative fields

Tools

Airflow

dbt

Spark

Job description

About the role

As one of the prominent fintech players in Indonesia, Amartha provides financial services to underbanked women entrepreneurs in rural areas. We firmly believe that financial inclusion is key to building a sustainable economy that uplifts and supports the entire country.

We are currently seeking a Junior Data Scientist to join our team. In this role, you will apply your skills in data wrangling and advanced problem-solving to tackle real business challenges. You will collaborate with a diverse range of stakeholders, including business experts, product leaders, and tech-savvy engineers.

You’ll also work alongside a team of exceptional data scientists with varied expertise, spanning data engineering, machine learning and AI engineering, data warehousing, and data analysis.

At Amartha, we value your mindset and adaptability even more than your technical prowess.

Responsibilities

• Develop and maintain data engineering services as a part of the big data ecosystem in Amartha
• Develop data engineering framework to simplify the day-to-day data science works
• Collaborate with the data science, product, and engineering teams to build a product solution with integrated analytics and/or machine learning systems
• Research the latest data and ML/AI engineering tools and frameworks that can potentially be implemented to improve the status quo
• Influencing the data-driven culture to the company

• A Bachelor’s / Master's degree in engineering or quantitative fields
• Proficient in setting up basic networking in a cloud system
• Proficient in DevOps best practices such as CI/CD or IAC
• Proven expertise in using Docker and Kubernetes
• Familiar with common data engineering tools (Airflow, dbt, Spark, etc.)
• Previous experience in implementing end-to-end machine learning in production is a plus
• Previous experience in building scalable real-time analytical solutions is a plus
• Proficient in tackling ambiguous problems with clarity and a structured framework
• Ability to simplify and clearly communicate complex concepts to non-technical persons
• Ability to seamlessly and effectively communicate from strategic to operational levels
• Strong resolve in facing uncertainties and new challenges

At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth.

We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.