Data Engineer

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Fundiin

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Airflow Apache BigQuery Dataflow Apache Beam Analytics play Composer

Job Description

Job title: Data Engineer

Working Location: Lottery Tower, 77 Tran Nhan Ton, An Dong Ward, HCMC

Working Time: 09h00 - 18h00 (T2-T6)


As a Data Engineer at Fundiin, you will be responsible for designing, developing and maintaining the data pipelines from scratch to support our data-driven initiatives. Your work will play a key role in enabling data analysis, reporting, and compliance efforts across the company.


Your responsibilities include but are not limited to:ย 

  • Build and operate production data pipelines using Apache Beam / Google Dataflow
  • Maintain and extend dbt models (incremental models, tests, snapshots, documentation)
  • Automate pipelines and scheduled jobs using Cloud Composer (Airflow)
  • Implement data quality checks, logging and alerting to ensure pipeline reliability
  • Work closely with Data Analyst / Data Scientist / Backend to serve data for credit scoring, fraud detection and business analytics
  • Support MLOps workflows (feature pipelines, model deployment integration, model monitoring signals)
  • Continuously improve cost efficiency, latency and stability of the data platform


What you need to succeed in this role:

  • 2+ years of hands-on experience as a Data Engineer (preferably in fintech / lending / payments)
  • Solid SQL + Python skills in real production environments
  • Experience building data pipelines with Beam / Dataflow or equivalent frameworks
  • Experience maintaining dbt models (incremental models, tests, documentation)
  • Experience with orchestration (Airflow / Cloud Composer)
  • Comfortable working with cloud data platforms (GCP: BigQuery, Pub/Sub, Cloud Storage)
  • Understanding of pipeline observability (logging, alerting, data quality checks)
  • Experience partnering with Data Science on MLOps workflows (feature pipelines, model deployment integration) is a plus
  • Clear communication, ownership mentality, and willingness to iterate & improve existing systems


Why you love working with us:

  • We offer great autonomy, freedom to make decisions, and room to take risks and learn from mistakes
  • Opportunity to be involved from the ground up in creating and developing new products, leading teams, working on innovative projects, and gaining visibility within the industry
  • Competitive benefits package (including 13th-month salary) and meaningful ESOP
  • Personal laptop allowances or financing options for new device purchases
  • Learning support budget
  • Premium healthcare plan and annual health check
  • 15 days off per year
  • Biannual Team Building Trips
  • Spacious and collaborative office, free daily drinks and weekly TGIF snacks.

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