data engineer

Payabl. is a fintech company that provides payment processing solutions and financial services for businesses.

• Design, build, and maintain scalable data lakehouse solutions on AWS using S3, Apache Iceberg, and AWS Glue Catalog;
• Contribute to the evolution of bronze, silver, and gold layers in a medallion architecture;
• Build and support real-time and near-real-time ingestion pipelines;
• Stream operational data from on-premise databases into AWS using Debezium, Kafka, Kafka Connect, and Iceberg sinks;
• Monitor and troubleshoot streaming pipelines, connector issues, schema changes, data consistency, and ingestion reliability;
• Design and implement silver and gold layer datasets;
• Transform raw operational data into trusted business-ready data products;
• Work with analysts, analytics engineers, and business stakeholders;
• Develop and maintain batch and distributed processing jobs using PySpark on AWS EMR and AWS Glue;
• Optimize transformation jobs for performance, scalability, reliability, and cost efficiency;
• Build and maintain workflows using Apache Airflow;
• Support API ingestion, batch processing, and third-party integrations with tools such as Airbyte;
• Implement data quality checks, validation processes, and reconciliation logic;
• Contribute to documentation, ownership, lineage, access, and compliance practices;
• Collaborate on AWS infrastructure and deployment practices;
• Support infrastructure-as-code workflows using Terraform and Terragrunt.

• 3+ Years of experience in data engineering or related roles;
• Strong SQL and data modeling experience for analytics and reporting;
• Strong Python experience, ideally with PySpark;
• Experience designing and maintaining ETL/ELT pipelines in production;
• Experience with real-time or near-real-time data ingestion;
• Kafka or similar streaming technologies;
• CDC concepts and tools such as Debezium;
• Cloud data lake or lakehouse architecture experience;
• AWS data services such as S3, Glue Catalog, Glue Jobs, EMR, and IAM;
• Apache Iceberg, Delta Lake, or similar open table formats;
• Experience designing curated analytics layers such as silver and gold layers;
• Apache Airflow, Dagster, or similar orchestration tools;
• Relational databases such as MySQL, MariaDB, or PostgreSQL;
• Unix/Linux and shell scripting;
• Understanding of data quality, governance, lineage, and production monitoring;
• Nice to have: Apache Druid, ClickHouse, Snowflake, Databricks, Airbyte, dbt, Terraform, Terragrunt, Docker, Kubernetes, Spark optimization, Tableau, Power BI, Superset, AWS QuickSight, data observability tools.

• Provident Fund after probation;
• Annual learning budget after probation;
• €150 Monthly Wolt allowance;
• SportsBenefits membership;
• Possible company car after one year;
• Complimentary parking near the office;
• 25 Vacation days plus public holidays;
• 10 Sick days;
• Local discount card and event tickets;
• Free Greek language classes twice a week;
• Company celebrations and international events.