Senior Data Engineer

This is a fully remote position, open to applicants in Indonesia.

📋 Description

• Design, develop, and maintain scalable, production-level data pipelines while creating new API integrations to accommodate the increasing data volume and complexity within our lending and payments products.

• Construct and manage modular, thoroughly tested, and well-documented data transformation models utilizing dbt on top of Snowflake.

• Oversee significant data platform projects from inception to completion—encompassing scoping, technical design, delivery, monitoring, and iteration.

• Collaborate with analytics, data science, and business teams to enhance data models that drive BI tools, regulatory reporting, and data-informed decision-making throughout the organization.

• Establish the necessary infrastructure for optimal extraction, transformation, and loading of data from a diverse array of sources using SQL, Snowflake, dbt, and AWS big data technologies.

• Work in partnership with Executive, Product, Risk, Finance, and Engineering stakeholders to address data-related technical challenges and support their data infrastructure requirements.

• Advocate for data quality, governance, lineage, and cost efficiency across the data platform.

• Guide junior and mid-level data engineers through code reviews, design evaluations, and knowledge sharing.

⛳️ Requirements

• A Bachelor's or Master's degree in a technical or business field, or equivalent practical experience.

• A minimum of 6 years of hands-on experience in managing data platforms, data tools, and/or data management technologies, showcasing a trajectory towards senior or lead roles.

• Previous experience in Payments, Lending, Banking, or Financial Technology sectors, with a comprehensive understanding of financial data concepts (e.g., transactions, ledgers, reconciliation, settlement, disbursement, repayment lifecycles).

• Strong comprehension of the business context surrounding a Fintech / Financial Technology Platform—encompassing regulatory reporting requirements, data sensitivity, auditability, and the role of data in credit, risk, and operational decisions.

• Advanced proficiency in SQL and extensive experience with relational databases and query optimization.

• Demonstrated experience in building and optimizing big data pipelines, architectures, and datasets on Snowflake and AWS (e.g., S3, Glue, Lambda, IAM, MWAA).

• Practical experience with dbt (data build tool)—including model design, testing, documentation, macros, and deployment workflows.

• Experience with orchestration tools like Airflow / MWAA, ideally integrated with dbt in a production environment.

• A proven track record of leading multiple high-impact data projects, from technical design through stakeholder alignment, delivery, and post-launch optimization.

• Experience in conducting root cause analysis on data and processes to address business questions and pinpoint opportunities for enhancement.

• Familiarity with data visualization tools (Qlik, Tableau, Looker, Metabase, Sisense, etc.).

• Understanding of data warehouse design patterns, dimensional modeling, and data governance practices.

• Proficiency in Python (strongly preferred; Java, Scala, or JavaScript are also acceptable).

• Working knowledge of Git/GitHub and JIRA.

🏝️ Benefits

• Time off - We encourage you to take time off to relax and recharge. Our flexible paid vacation policy, along with several observed holidays, allows for this. We also celebrate special occasions like birthdays and work anniversaries with additional days off.

• Flexible working - We believe in empowering our employees with control over their work-life balance. We trust our team and strive to create an environment that accommodates everyone's working styles and personal lives.

• Medical benefits - We provide health insurance coverage for our employees and their dependents, ensuring peace of mind as our team focuses on our mission.

• Mental health and wellness - Acknowledging that our team's productivity is linked to mental and physical well-being, we organize organization-wide fitness initiatives and collaborate with partners to offer wellness coaching.

• Tech support - We equip our employees with company laptops and ensure they have the necessary tools and support to enable high productivity.