About payabl.
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
Working as part of our Data Team to build and maintain reliable data pipelines and datasets that support analytics and decision-making across the organization. You will work with SQL, Python, cloud data platforms, batch and streaming pipelines, and modern data engineering technologies. You will collaborate with engineers, analysts, and business teams to understand data requirements, improve data quality, and make data easier to consume.
Responsibilities
- Data Pipelines and Data Platform: Build and maintain reliable ETL/ELT data pipelines using SQL and Python. Develop and maintain datasets used for analytics, reporting, and other business use cases. Work with batch and streaming data pipelines running on AWS. Contribute to the continuous improvement of our data platform, architecture, and engineering practices.
- Data Modelling and Business-Ready Data: Work with analysts, engineers, and business teams to understand data requirements and translate them into technical solutions. Develop well-structured and reusable datasets that make data easier to consume across the organization. Support data transformations and data modelling for analytics and reporting use cases. Contribute to improving the consistency, usability, and reliability of business data.
- Data Quality and Production Reliability: Support data quality checks and validation processes to ensure reliable and consistent datasets. Monitor data pipelines and help identify and troubleshoot data or pipeline issues. Support production reliability and investigate issues when pipelines or datasets do not behave as expected. Contribute to improvements in monitoring, observability, documentation, and data reliability practices.
- Batch and Streaming Processing: Work with batch and streaming data pipelines across the data platform. Support data processing and transformation workflows running on cloud-based infrastructure. Contribute to the development and maintenance of scalable and reliable data processing solutions.
- Data Integration and Platform Development: Work with data from relational and non-relational databases and other internal or external data sources. Support integrations and data ingestion workflows across different systems. Contribute to the evolution of the data platform as new requirements and technologies are introduced.
Technology Stack
Our data platform includes technologies such as AWS, S3, Apache Iceberg, AWS Glue, EMR, Apache Kafka, Debezium, Kafka Connect, Apache Airflow, Airbyte, PySpark, Terraform, and Kubernetes.
The perks of being a payabl.er in Cyprus Office:
- 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 our growth.
- Wolt Your Way Through Lunch: €150 monthly Wolt allowance to keep you fueled and happy.
- Stay Active Your Way: Enjoy a SportsBenefits membership giving you access to a wide variety of gyms and sports facilities to support your active lifestyle.
- Drive in Style: After one year with us, you may be eligible for a company car—performance and availability permitting.
- Park with Ease: Complimentary parking space just steps from the office, so your commute is as smooth as your workday.
- Max Out Your Downtime: 25 days of vacation + public holidays, plus an additional 10 sick days.
- Shop & Save: Exclusive local discount card + tickets for exciting events like Beonix, basketball games, and more.
- Speak Like a Local: Join free Greek language classes, twice a week, open to all team members.
- Celebrate Together: We bring colleagues from all offices together for unforgettable company celebrations.
- Global Collaboration & Events: Opportunities to participate in international company events and initiatives, connecting with colleagues from all regions and contributing to a truly global community.
What we need:
- 3+ years of experience in data engineering, software engineering, analytics engineering, or a related role.
- Good programming skills in Python and SQL.
- Experience building or maintaining ETL/ELT pipelines.
- Experience working with relational and non-relational databases such as MySQL, MariaDB, PostgreSQL, MongoDB or similar.
- Familiarity with cloud-based data platforms, preferably AWS.
- Understanding of basic data engineering concepts such as incremental processing, data quality, schema changes, and pipeline reliability.
- Comfortable working with Git and Unix/Linux environments.
- Good problem-solving and debugging skills.
- Willingness to learn new technologies and work across different parts of the data platform.
Good to Have (Experience with one or more would be beneficial):
- Data Processing and Cloud: Apache Spark or PySpark, AWS services (S3, Glue, EMR, IAM, Athena), Data lake or lakehouse architectures, Apache Iceberg, Delta Lake, Hudi.
- Streaming and Data Integration: Apache Kafka, Change Data Capture (Debezium), Airbyte.
- Orchestration and Data Architecture: Apache Airflow, Dagster, Medallion architecture, DBT.
- Infrastructure and Engineering: Terraform, Terragrunt, Docker, Kubernetes, Data quality, observability, monitoring, lineage, or governance tooling.
- Analytics and Data Platforms: Apache Druid, ClickHouse, Snowflake, Databricks, Tableau, Power BI, Superset, QuickSight.
