Data Engineer

About FINN

FINN is a fintech company building simple and transparent products that improve financial well-being for underbanked employees. Our core offering gives people access to wages they have already earned, alongside tools to help them manage money better, build savings, access insurance, earn additional income, and use fairer financial services.

Founded in 2022, FINN is the largest player in the early wage access space in Southeast Asia and is expanding rapidly into new markets globally. We are looking for ambitious builders who take ownership, move fast, and want to shape products that create meaningful impact in people’s lives.

About the Role

We're looking for a Data Engineer to own the data modeling, pipeline development, and analytics layer that powers decision-making across every department at FINN. This is a high-impact, foundational hire — you'll be one of the first dedicated data team members, working alongside our Data Platform Engineer who builds the infrastructure you'll operate on.

This role starts as a combined Data Engineer + Data Analyst position. You'll build the pipelines and deliver the insights. As FINN scales from 3–4 markets to 10–12 and the data team grows, this role will specialize into a dedicated Data Engineering function with separate Data Analysts joining the team.

You'll report to the CTO and work closely with department data owners across Product, Operations, Credit Risk, and Finance to turn raw data into reliable, well-modeled datasets and actionable dashboards.

Responsibilities

Immediate Priorities (Year 1)

Build and maintain data models in dbt, establishing naming conventions, documentation standards, and testing patterns
Define and implement core business metrics in collaboration with department data owners (Product, Operations, Finance, Credit Risk)
Create and maintain dashboards and reports that drive operational and strategic decisions
Design and build data pipelines for ingesting data from internal services and external sources into BigQuery
Establish data quality checks and monitoring to ensure reliability of key metrics
Partner with the Data Platform Engineer to shape the data infrastructure roadmap from an end-user perspective
Scaling & Ownership (Year 2)
Own the full data model layer — dimensional models, staging tables, and marts — with clear documentation and lineage
Build self-service datasets that enable non-technical stakeholders to answer their own questions
Develop automated pipelines for recurring cross-department data requests (replacing ad-hoc queries)
Collaborate with the Credit Risk team on portfolio analytics, scoring model data, and regulatory reporting data needs
Implement data governance practices: ownership metadata, freshness SLAs, and access controls in coordination with the Data Platform Engineer
Drive adoption of metric definitions and a single source of truth across departments
Team Growth & Specialization (Year 2+)
Mentor incoming Data Analysts as the team expands, establishing engineering best practices for the analytics layer
Transition analytical workload to dedicated Data Analysts while focusing on complex data engineering challenges
Lead the design of new data products — real-time dashboards, predictive model feature stores, and embedded analytics
Contribute to FINN's data mesh evolution by owning domain-specific data products

Technical Requirements

Must Have

2+ years of professional experience in data engineering or analytics engineering
Strong SQL — you can write complex queries, optimize performance, and design efficient data models
Python proficiency for data pipeline development, scripting, and automation
Experience with BigQuery or an equivalent cloud data warehouse (Snowflake, Redshift)
Hands-on experience building and maintaining data pipelines and ETL/ELT processes
Working knowledge of dbt (or demonstrated ability to ramp up quickly — we're actively building our dbt layer)
Experience with dashboard and visualization tools (Looker, Metabase, or similar)
Solid understanding of data modeling — dimensional design, star/snowflake schemas, slowly changing dimensions

Nice to Have

• FinTech or regulated industry experience (lending, payments, insurance)
• Exposure to credit risk data, portfolio analytics, or financial reporting
• Familiarity with Terraform or Infrastructure as Code
• Experience with streaming data or real-time pipelines (Pub/Sub, Kafka, Dataflow)
• Experience working in a startup scaling from early stage to multi-market operations

What Makes You Successful

Ownership Mindset: You don't wait for tickets — you identify what the business needs and build it. At FINN, we operate in "hard mode" and everyone owns outcomes, not just tasks.

Cross-Functional Collaboration: You're comfortable sitting with a Finance lead or a Product Manager to understand their data needs and translating that into well-modeled, tested datasets.

Rigor and Attention to Detail: Bad data is worse than no data. You care deeply about data quality, testing, and documentation.

Tenacity and Drive: We're scaling to $100M ARR by 2028 across 10–12 markets. This is fast-paced, ambiguous, and demanding — you thrive in that environment.

Communication: You can explain data models and metric definitions to non-technical stakeholders clearly and patiently.

Builder Energy: You're excited about creating something from scratch, not maintaining a legacy system. You'll be defining how FINN thinks about data.

Remote Work: You love working remotely #APJ #EMEA

Our Stack

Data Warehouse: GCP BigQuery

• Transformation: dbt
• Backend: AWS services

Languages: Python, SQL

IaC: Terraform

• Dashboards: Looker (evolving)
• Orchestration: To be determined (in collaboration with Data/Platform Team)
• Methodology: Agile/Scrum — 2-week sprints

Relationship to Data Platform Engineer

At scale this role will work in close partnership with the Data Platform Engineering Team (to be built out) who will build and maintain the underlying data infrastructure (BigQuery configuration, Terraform, orchestration, data mesh architecture). As a Data Engineer, you operate on that platform — building the models, pipelines, metrics, and dashboards that deliver value to the business. Together, you will form the foundation of FINN's data team.

Why Join?

Be a foundational hire — shape FINN’s data models, pipelines, and metrics from day one

End-to-end ownership — build both the data infrastructure layer and the insights that drive decisions

High-impact role — work directly with Product, Finance, Ops, and Credit Risk to influence business outcomes

Grow with the company — evolve into a specialized Data Engineer as the team scales across multiple markets