Senior Data Engineer

PT Amartha Mikro Fintek; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A prominent fintech company in Jakarta Selatan is seeking a Senior Data Scientist. This role involves designing and operating data platform services to tackle real business challenges. The ideal candidate will have strong experience in building data engineering platforms, be proficient in tools like Docker and Kubernetes, and possess strong communication skills to collaborate with diverse stakeholders. Join us in promoting financial inclusion through innovative solutions.

Benefits

Commitment to diversity and inclusion

Opportunities for professional growth

Qualifications

• Strong experience in building and operating data engineering platforms.
• Proficiency with CI/CD, Infrastructure as Code, and automated testing.
• Ability to operate in ambiguous problem spaces and communicate effectively.

Responsibilities

• Design and operate data platform services and tooling.
• Own and evolve the data engineering platform.
• Monitor data platform components for availability and performance.

Skills

Data transformation tools (dbt, Airflow, Spark)

Containerization (Docker, Kubernetes)

DevOps practices

Strong communication skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Cloud infrastructure fundamentals

Metadata catalogs

Data quality frameworks

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 Senior 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

• Design, build, and operate data platform services and tooling that enable scalable data ingestion, transformation, analytics, and machine learning workflows
• Own and evolve the data engineering platform (e.g. orchestration, transformation frameworks, metadata, and governance tools) used by analytics and data science teams
• Develop and maintain standardized platform frameworks and abstractions (e.g. dbt frameworks, Airflow patterns, DataHub integrations, data quality and observability tooling)
• Ensure the availability, reliability, and performance of data platform components through monitoring, alerting, capacity planning, and incident management
• Provide self-service data tooling that empowers analysts and data scientists to build and operate pipelines independently
• Partner with data science, analytics, and product teams to enable production use of data assets, without owning business-specific pipelines
• Drive adoption of platform best practices including version control, CI/CD for data, access control, lineage, and documentation
• Evaluate, introduce, and operate data engineering tools and infrastructure to continuously improve developer productivity and platform robustness
• Act as a platform steward and advocate, promoting consistent data standards and a strong data-driven culture across the organization

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field
• Strong experience building and operating data engineering platforms or shared data infrastructure
• Familiarity with data transformation and orchestration tools (e.g. dbt, Airflow, Spark) from a platform enablement perspective
• Experience deploying and operating data tooling such as metadata catalogs, data quality frameworks, or lineage systems (e.g. DataHub or similar)
• Proficiency with containerization and platform operations (Docker, Kubernetes)
• Solid understanding of cloud infrastructure fundamentals, including basic networking and security
• Strong DevOps practices: CI/CD, Infrastructure as Code, environment isolation, and automated testing
• Experience supporting batch and/or streaming data systems, focusing on platform reliability rather than business logic
• Ability to operate in ambiguous problem spaces and translate organizational needs into reusable platform capabilities
• Strong communication skills to explain platform concepts and trade-offs to non-technical stakeholders
• Experience supporting machine learning platforms or real-time analytics infrastructure is a plus

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.