Data engineer in payments

We are looking for an experienced Data Engineer to support the acceleration of NL delivery and the development of the Global Payments reporting data layer on VISTA. You will work on scalable data pipelines and analytical datasets, helping deliver reliable, maintainable data products for reporting and analytics across large transactional datasets.

• Design and maintain ELT/ETL pipelines using Airflow / Cloud Composer and Google Cloud services, including BigQuery and Google Cloud Storage (GCS).
• Develop and maintain dbt models, covering transformations, historization, testing, documentation and data quality controls.
• Support country onboarding, data aggregation and deployment activities.
• Optimize analytical datasets for reporting and analytics.
• Contribute to scalable, maintainable and high-quality data products for large transactional datasets.

• Strong hands-on experience with Google Cloud Platform (GCP), particularly: BigQuery, GCS, Cloud Composer / Airflow
• Strong experience with dbt, SQL and Python.
• Solid knowledge of data warehousing, dimensional modelling and historization.
• Experience with CI/CD and Git.
• Proven ability to develop scalable and maintainable data products for large transactional datasets.
• Strong analytical and problem-solving skills, with a focus on data quality and reliable delivery.
• Fluent English
• Будет плюсом: Experience in banking, financial services or payments is highly preferred; Banking, financial services or payments experience is preferable, particularly experience working with transactional or financial data

• 6 months initially
• €900 per day via B2B contract