Analytics Engineer

About the role

payabl. is looking for an Analytics Engineer to join its Data Team and help turn raw platform data into reliable, well-structured datasets that can be used confidently across analytics and reporting.

This role sits between data engineering and data analytics. You will focus on data modelling, transformation, validation and quality, ensuring analysts and business teams can work with trusted datasets rather than raw source data.

You will collaborate closely with data engineers, analysts, domain leads and business stakeholders to translate business requirements into reusable models, metrics and reporting layers.

The role reports to the Team Lead Product Analyst.

What you’ll be doing

• Design and maintain analytical data models using dbt.

• Transform raw lakehouse data into validated bronze, silver and gold datasets.

• Build reusable datasets for analytics, reporting and business decision-making.

• Develop automated checks for data quality, consistency and completeness.

• Implement validation and reconciliation processes across data pipelines.

• Identify and resolve duplicate records, missing values and inconsistent data.

• Work with data engineers and analysts to define reliable business logic.

• Translate business requirements into structured models, metrics and dimensions.

• Contribute to the organisation’s semantic layer.

• Define consistent metrics used across dashboards and reporting.

• Maintain clear documentation for datasets, models and business definitions.

• Document data-quality issues, root causes and resolutions.

• Help improve data lineage, discoverability and governance.

• Provide analysts with clean, prepared datasets that reduce the need to work directly with raw source data.

• Contribute to improvements in transformation workflows and orchestration.

• Help automate recurring data-quality and validation processes.

• Participate in code reviews and collaborative development workflows.

What we’re looking for

• A Bachelor’s degree in Computer Science, Data Science, Engineering or a related discipline, or equivalent practical experience.

• Strong SQL skills.

• Hands-on experience with data-transformation tools.

• Practical experience using dbt is strongly preferred.

• Strong Python skills.

• Experience using pandas for data analysis and validation.

• Experience designing, developing and maintaining ETL or ELT pipelines.

• Familiarity with workflow-orchestration tools such as Apache Airflow.

• Experience working with modern lakehouse or data-warehouse technologies.

• Familiarity with platforms such as Apache Iceberg, Trino, Apache Druid, Snowflake or Amazon Redshift.

• Experience implementing data-quality checks and automated tests.

• Familiarity with tools such as dbt tests, Great Expectations or Soda.

• Practical experience using Git for version control.

• Familiarity with GitLab development workflows, including merge requests and code review.

• Understanding of CI/CD principles for data projects.

• Strong knowledge of data-modelling concepts.

• Experience with dimensional modelling and star schemas.

• Understanding of data-quality best practices.

• Experience working across technical and business teams.

• Strong communication and collaboration skills.

• Excellent attention to detail.

• A structured and analytical approach to problem-solving.

Skills that would be an advantage

• Previous experience in a role combining analytics and data engineering.

• Experience working with financial-services data.

• Familiarity with online payments or banking datasets.

• Experience with acquiring, reconciliation or clearing data.

• Knowledge of reporting requirements within financial-services environments.

• Familiarity with BI platforms such as Apache Superset.

• Experience working with semantic layers.

• Exposure to streaming or Change Data Capture technologies.

• Familiarity with Apache Kafka.

• Experience using Debezium.

Work arrangement

The position is available under two working arrangements:

• Limassol, Cyprus – employment contract.

• Remote within Europe – service contract.

Candidates applying remotely should confirm applicable contract conditions, working arrangements and eligibility directly with payabl. during the recruitment process.

Benefits for Cyprus-based employees

Benefits available to employees based in the Cyprus office include:

• 25 days of annual leave.

• Cyprus public holidays.

• An additional 10 days of sick leave.

• Provident Fund participation after successful completion of probation.

• Annual professional-development budget after probation.

• €150 monthly Wolt allowance.

• Access to participating gyms and sports facilities.

• Complimentary office parking.

• Free Greek-language lessons twice per week.

• Local employee discounts and access to selected entertainment and sporting events.

• Company-wide celebrations and international employee initiatives.

• Potential eligibility for a company car after one year, depending on performance and availability.

Benefits and contractual conditions may differ for remote employees and should be confirmed during the recruitment process.

Recruitment process

The expected hiring process includes:

1. Initial interview – A conversation with the Talent Acquisition team covering your experience, career background and goals.

2. Hiring Manager interview – A deeper discussion focused on your skills, achievements and suitability for the role.

3. Technical assessment – A practical role-specific exercise designed to evaluate your data-modelling, analytical and problem-solving abilities.

4. Leadership interview – A final discussion with senior leadership, potentially including the Chief Product Officer and CTO.

The exact stages may vary depending on the applicant and location.

About payabl.

payabl. is a financial-technology and payments company providing payment and banking services to businesses across international markets.

The company is developing payabl.one, a platform designed to bring multiple financial services together in one environment. Its data teams support the organisation by creating reliable datasets, analytics infrastructure and reporting layers used across product and business functions.

How to apply

Applicants should submit an up-to-date CV through payabl.’s official careers page.

Your application should clearly demonstrate:

• Your experience working as an Analytics Engineer, Data Engineer or similar.

• Your SQL and dbt experience.

• Data models and transformation pipelines you have developed.

• Your experience with Python and pandas.

• ETL or ELT workflows you have maintained.

• Experience with Airflow or another orchestration tool.

• Your knowledge of data lakehouse or warehouse platforms.

• Data-quality frameworks or testing approaches you have implemented.

• Your experience with dimensional modelling and star schemas.

• Git, GitLab and CI/CD workflows you have used.

• Any experience with financial-services, payments, reconciliation or banking data.

• Familiarity with Kafka, Debezium or other streaming technologies.

Applications are processed directly by payabl. cyprustech.careers is presenting this vacancy for informational purposes and is not acting as the employer or recruitment agency for this position.