Data Engineer

payabl.

Data Engineer focused on AWS data lakehouse solutions at fintech company specializing in global payments. Responsibilities include data modeling and building scalable ingestion pipelines.

Posted 7/10/2026full-timeLimassol • 🇨🇾 CyprusMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudETLKafkaLinuxMariaDBMySQLPostgresPySparkPythonShell ScriptingSQLTerraformUnix

About the role

Key responsibilities & impact

Design, build, and maintain scalable data lakehouse solutions on AWS using S3, Apache Iceberg, and AWS Glue Catalog as core platform components.
Contribute to the evolution of the medallion architecture, ensuring that bronze, silver, and gold layers are reliable, performant, and aligned with business needs.
Build and support real-time and near-real-time ingestion pipelines that stream operational data from on-premise databases into AWS using Debezium, Kafka, Kafka Connect, and Iceberg sinks.
Monitor and troubleshoot streaming pipelines, including connector issues, schema changes, data consistency, and ingestion reliability.
Design and implement silver and gold layer datasets that transform raw operational data into trusted, business-ready data products.
Work closely with analysts, analytics engineers, and business stakeholders to understand requirements and create reusable, well-structured data models.
Develop and maintain batch and distributed processing jobs using PySpark on AWS EMR and AWS Glue.
Optimize data transformation jobs for performance, scalability, reliability, and cost efficiency.
Build and maintain data workflows using Apache Airflow for API ingestion, batch processing, and orchestration across the medallion architecture.
Support integrations from external and third-party systems using tools such as Airbyte.
Implement data quality checks, validation processes, and reconciliation logic to ensure trusted and consistent datasets across the platform.
Contribute to data governance practices around documentation, ownership, lineage, access, and compliance.
Collaborate on AWS infrastructure and deployment practices, working with services such as S3, Glue, EMR, IAM, EKS, and related platform components.
Support infrastructure-as-code workflows using Terraform and Terragrunt in collaboration with engineering and infrastructure teams.

Requirements

What you’ll need

Minimum 3+ years of experience in data engineering or related roles.
Strong experience with SQL and data modeling for analytics and reporting use cases.
Strong programming experience with Python, ideally including PySpark.
Experience designing and maintaining ETL/ELT pipelines in production environments.
Experience with real-time or near-real-time data ingestion.
Experience working with Kafka or similar streaming technologies.
Experience with CDC concepts and tools such as Debezium.
Experience with data lake or lakehouse architectures on cloud platforms.
Hands-on experience with AWS data services such as: S3, Glue Catalog, Glue Jobs, EMR, IAM, Related AWS services
Experience with Apache Iceberg, Delta Lake, or similar open table formats.
Experience designing curated analytics layers, such as silver and gold layers in a medallion architecture.
Experience with orchestration tools such as Apache Airflow or Dagster.
Experience working with relational databases such as MySQL, MariaDB, or PostgreSQL.
Working knowledge of Unix/Linux environments and shell scripting.
Understanding of data quality, governance, lineage, and production monitoring concepts.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonPySparkApache IcebergKafkaDebeziumData ModelingETL/ELTData TransformationShell Scripting