Senior Data Engineer / Data Analyst

About the role

We are looking for a Senior Data Engineer / Data Analyst to become a key link between data and product decisions. You will work with transactional data from a payment platform, build reliable analytics infrastructure, and turn raw data into business insights for C-level and the product team. This role combines deep technical data work (pipelines, DWH, modeling) with product analytics (approval rate, fraud patterns, A/B tests). The ideal candidate is equally comfortable writing optimized SQL queries and explaining complex patterns to a non-technical audience.

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 /

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