Analytics Engineer

About payabl.

payabl. helps companies scale by combining modern payments technology with banking services. The company is building payabl.one, a platform that brings together a broad range of global financial services in one place. As a regulated financial business with principal membership in card schemes, it focuses on worldwide payments and multi-currency account solutions for businesses.

Role overview

This opening is for an Analytics Engineer to join the data function and act as a connector between data engineering and data analytics. The position is centered on improving data reliability, running validation and sanity checks, and converting raw information into well-structured datasets that can be trusted for analysis. Success in this role depends on a solid grasp of business rules and data processes so the output supports analysts and internal stakeholders with high-quality, dependable data.

Location and reporting

The position is based in Limassol, Cyprus, and comes with an employment contract plus relocation support. The role reports to the Product Analyst Team Lead.

What you will do

• Create, roll out, and maintain controls for data quality across pipelines.
• Run validation checks to spot and fix inconsistencies, duplicate records, and missing information.
• Convert raw lakehouse data into clean, verified datasets for use in the warehouse.
• Record data issues, investigate their causes, and log the fixes to strengthen data governance.
• Enable analysts by supplying prepared datasets so they do not need to work from raw data directly.
• Help shape and improve workflow design and automation for data quality processes.
• Work closely with data engineers, domain leads, and analysts to align on business needs and data context.

Requirements

• A bachelor's degree in Computer Science, Data Science, Engineering, or a similar discipline.
• Strong Python skills, including hands-on use of pandas and numpy.
• Practical experience with SQL and transformation frameworks such as dbt and Apache Spark.
• Background in ETL/ELT pipeline design, build-out, and upkeep, using tools like Airflow or Luigi.
• Exposure to warehouse platforms such as Apache Druid, Snowflake, or Redshift.
• Good command of Git, specifically GitLab, for version control.
• Clear understanding of data quality principles and best practices.
• Experience working across functions and communicating between technical teams and business users.
• Strong problem-solving ability and a careful eye for detail.
• Experience working with finance-related data, including transactions and clearing reports.

Nice to have

• Previous work in roles that sit between data engineering and analytics.
• Exposure to financial data areas such as online payments, banking, and reporting.

Perks and benefits

• Provident Fund access after probation.
• An annual learning budget for professional development after probation.
• €150 monthly Wolt allowance.
• SportsBenefits membership with access to gyms and sports facilities.
• Possible company car after one year, subject to performance and availability.
• Free parking near the office.
• 25 vacation days plus public holidays, and an extra 10 sick days.
• A local discount card and tickets for events such as Beonix and basketball games.
• Free Greek classes twice per week for all employees.
• Company-wide celebrations bringing together colleagues from multiple offices.
• Access to international events and initiatives across the company.

Relocation support

A relocation package is available and will be discussed during the first interview with the Talent Acquisition Partner.

Hiring process

• First interview: a 30–40 minute discussion with Talent Acquisition about your background, experience, and goals.
• Second interview: a 60-minute conversation with the Hiring Manager about your skills, achievements, and fit for the role.
• Technical assessment: a role-related exercise, case study, or task to evaluate practical skills and problem-solving within a set timeframe.
• Leadership meeting: a 60-minute conversation with the Chief Product Officer and the CTO about vision and business priorities.

Additional information

The company asks candidates to submit a resume. Applications are handled confidentially. CVs may be retained for up to one year for future relevant opportunities. The privacy policy referenced by the company should be reviewed for details on data processing.