Data Engineer

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers.
Here at Funding Societies | Modalku we live by our core values GETFS:

• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.
• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.

We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers.

What you will do:

• Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products.
• Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake.
• Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration.
• Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies.
• Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs.
• Champion data quality, governance, lineage, and cost efficiency across the data platform.
• Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Requirements

• Bachelor's or Master's degree in a technical or business discipline, or equivalent practical experience.
• 6+ years of hands-on experience managing data platforms, data tools, and/or data management technologies, with demonstrated progression into senior or lead responsibilities.
• Prior experience working in **Payments, Lending, Banking, or Financial Technology** environments, with a solid understanding of financial data concepts (e.g. transactions, ledgers, reconciliation, settlement, disbursement, repayment lifecycles).
• Strong grasp of the **business context of a Fintech / Financial Technology Platform** -- including regulatory reporting needs, data sensitivity, auditability, and how data powers credit, risk, and operations decisions.
• Advanced SQL expertise and deep experience with relational databases and query optimization.
• Proven experience building and optimizing big data pipelines, architectures, and datasets on **Snowflake and AWS** (e.g. S3, Glue, Lambda, IAM, MWAA).
• Hands-on production experience with **dbt (data build tool)** -- including model design, testing, documentation, macros, and deployment workflows.
• Experience with orchestration tools such as **Airflow / MWAA**, ideally integrated with dbt in production.
• Track record of **leading multiple high-impact data projects**, from technical design through stakeholder alignment, delivery, and post-launch optimization.
• Experience performing root cause analysis on data and processes to answer business questions and identify opportunities for improvement.
• Exposure to data visualization tools (Qlik, Tableau, Looker, Metabase, Sisense, etc.).
• Familiarity with data warehouse design patterns, dimensional modeling, and data governance practices.
• Proficiency in Python (strongly preferred; Java, Scala, or JavaScript also welcome).
• Working knowledge of Git/GitHub and JIRA.

Knowledge/Skills/Abilities/Behaviours

• A "build-test-measure-improve" mentality, with the drive to motivate teams and deliver impactful outcomes.
• Passion for operational efficiency, quantitative performance metrics, and process orientation.
• Strong ownership mindset -- able to drive initiatives independently while keeping stakeholders aligned.
• Working knowledge of project planning methodologies, IT standards, and engineering best practices.
• Customer passion, business focus, and the ability to negotiate, facilitate, and build consensus across cross-functional teams.
• Ability to promote a collaborative team environment across multiple agile squads and regional stakeholders.
• Experience with Agile software development methodologies.
• Comfortable operating in a regional, multi-country setup across Southeast Asia.

Benefits

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.

• Flexible working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their backs for their loved ones too.
• Mental health and wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching.
• Tech support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

Interested to know more about us? Learn about our Stories here