Job Opportunities API

payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to businesses and make them all available in one place on our platform we call payabl.one. As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. The role is about: We are looking for a skilled Analytics Engineer to join our data team and help bridge the gap between data engineering and data analytics. This role will focus on ensuring data quality, performing sanity and validation checks, and transforming raw data into clean, reliable datasets for analysis. The ideal candidate will have a strong understanding of business logic and data workflows, enabling them to deliver high-quality data that meets the needs of our analysts and business stakeholders. Location: Limassol, Cyprus (employment contract) Remote from Europe (service contract) Reporting to: Team Lead Product Analyst What you will do:   Design, develop, and maintain data models and transformations (dbt) that turn raw lakehouse data into clean, validated datasets across bronze/silver/gold layers. Develop, implement, and maintain automated data quality checks, tests, and validation processes across data pipelines. Collaborate closely with data engineers, domain team leads, and analysts to translate business requirements into well-defined data models and metrics. Perform sanity and reconciliation checks to identify and resolve data inconsistencies, duplicates, and missing values. Contribute to the semantic layer: define and maintain consistent, well-documented metrics and dimensions used across BI and reporting. Document data models, quality issues, root causes, and resolutions to improve overall data governance and discoverability. Support analysts by providing reliable, well-prepared datasets, reducing their need to work directly with raw data. Contribute to the design and improvement of data workflows, orchestration, and automation around data quality and transformations. What we need: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field or equivalent practical experience Strong SQL skills and hands-on experience with data transformation tools (dbt strongly preferred) Proficiency in Python, including pandas for data analysis and validation Experience with ELT/ETL pipeline design, implementation, and maintenance, including orchestration tools (Airflow) Familiarity with data lakehouse and warehouse technologies (e.g., Apache Iceberg, Trino, Apache Druid, Snowflake, Redshift) Experience with data quality and testing frameworks (dbt tests, Great Expectations, Soda, or similar) Proficiency with Git (GitLab) for version control and collaborative development workflows (merge requests, code review, CI/CD) Strong understanding of data modeling concepts (dimensional modeling, star schema) and data quality best practices Experience working in cross-functional teams, communicating effectively between technical and business stakeholders Problem-solving mindset and attention to detail Nice to Have: Prior experience in roles bridging data engineering and analytics Familiarity with financial data domains such as online payments, banking and reporting Experience with financial data domains such as online payments, acquiring, banking, and reconciliation/clearing reporting Familiarity with BI tools (Apache Superset or similar) and semantic layer concepts Exposure to streaming/CDC technologies (Kafka, Debezium) The perks of being a payabl.er: Future-Proof Your Finances: Once you’ve passed probation, we’ll kickstart your Provident Fund to secure your future.  Grow with Us: Annual Learning Budget for professional development (eligible after probation)—because your growth is ou