About the company
- payabl. empowers businesses to grow through payments innovation and banking services.
- Licensed financial company with principal membership with card schemes.
- Specializes in global payments and multi-currency accounts.
The role is about
- Work with payment data at scale, including transaction flows, approval rates, chargebacks, fees, and settlement.
- Turn data into decisions for Product, Risk, Finance, and Sales teams.
- Answer business questions with data, build dashboards, and communicate findings.
- Data engineers own the platform; you own the analysis and the insight.
- Data stack: Apache Superset, Apache Druid/Imply, Trino over Apache Iceberg on AWS S3, PostgreSQL, JupyterHub.
What you will do
- Investigate payment performance questions end to end, such as approval rate drops and anomalies across gateways, issuers and merchants.
- Prepare datasets for analysis by filtering, handling missing values, and validating quality.
- Apply statistical techniques to identify patterns, relationships and trends.
- Build and maintain Superset dashboards and Druid data cubes.
- Prepare recurring reports for internal stakeholders and for regulatory and scheme reporting requirements.
- Automate recurring analysis and reporting.
- Present insights and recommendations to stakeholders.
- Partner with other departments to understand their data needs.
What we need
- Strong SQL, including window functions, CTEs, aggregation logic, and query performance reasoning.
- Python for analysis, including pandas, a visualisation library such as Matplotlib, Plotly or Seaborn, and SciPy or equivalent.
- Experience with relational and analytical databases, including PostgreSQL. Exposure to columnar or OLAP engines such as Apache Druid, ClickHouse or BigQuery is a strong plus.
- Experience building dashboards in any BI tool, such as Apache Superset, Metabase, Power BI, Tableau, Looker or Qlik.
- Comfort working in notebooks (JupyterHub, Jupyter, or similar).
- Comfort with Git-based workflows.
- Ability to automate data reports.
- Excellent communication skills.
- A sense of ownership and end-to-end responsibility.
Nice to Have
- Experience in fintech or payments and understanding of transactional data specifics.
- Experience preparing regulatory or scheme reporting (card schemes, PSD2, AML or similar).
- Experience with dbt (models, tests, documentation).
- Basic understanding of Apache Airflow.
- Familiarity with scheduling and automatic report generation (cron jobs, Airflow, jupyter_scheduler).
- Experience with event tracking, conceptualising product events, and product analytics tools (Amplitude, Google Analytics, Matomo).
- Practical use of AI tools in analytical work.
- Exposure to machine learning applied to business problems.
The perks of being a payabl.er
- Future-Proof Your Finances: Provident Fund after probation.
- Grow with Us: Annual Learning Budget.
- Wolt Your Way Through Lunch: €150 monthly Wolt allowance.
- Stay Active Your Way: SportsBenefits membership.
- Drive in Style: Company car eligibility after one year.
- Park with Ease: Complimentary parking space.
- Max Out Your Downtime: 25 days of vacation + public holidays, plus 10 sick days.
- Shop & Save: Exclusive local discount card + tickets for events.
- Speak Like a Local: Free Greek language classes.
- Celebrate Together: Company celebrations.
- Global Collaboration & Events: International company events.