Remote
Senior Data Engineer / Data Analyst
This role combines:
- data engineering (DWH, pipelines, modeling)
- product analytics (metrics, A/B tests, fraud patterns)
What you will do
Data Engineering
- Build and maintain DWH for transactional data
- Develop ETL/ELT pipelines (dbt / Airflow / scripts)
- Design data models (fact/dimension tables)
- Ensure data quality, monitoring, and performance optimization
Product & Business Analytics
- Analyze key metrics:
- Approval / Decline Rate
- Chargebacks / Refunds
- Fraud patterns
- PSP performance
- Build dashboards (Metabase / Tableau / etc.)
- Run A/B tests and analyze product changes
- Deliver insights to product and leadership
Routing & Fraud Analytics
- Analyze routing efficiency
- Identify fraud patterns (velocity, geo, BIN)
- Propose improvements for routing logic
Collaboration
- Translate business needs into data solutions
- Communicate insights clearly to non-technical teams
- Proactively identify anomalies and opportunities
Requirements
Must-have
- Strong SQL (complex queries, optimization)
- Experience with PostgreSQL / ClickHouse / BigQuery
- Python for analytics (pandas, numpy)
- Experience with dbt / Airflow (or similar tools)
- Experience with BI tools (Metabase, Tableau, etc.)
- Understanding of A/B testing and statistics
- 3+ years in Data Analyst / Data Engineer role
- Experience with transactional / financial data
Nice to have
- Experience in fintech / PSP / acquiring
- Fraud analytics experience
- Kafka / streaming
- Understanding of PCI DSS / GDPR
What we offer
- Work with real transactional data from a payment platform — challenging and rewarding
- Direct influence on product decisions through data
- Modern stack: ClickHouse / BigQuery, dbt, Python, Airflow
- C-level access — your insights go directly to leadership
- Flexible work format: Remote / Hybrid
- Competitive compensation + salary review every 12 months
- Budget for education and conferences (Data Engineering, Payments)
- A team with deep fintech and high-risk vertical experience