Role Description:

We are looking for a Data Engineer to join our Data Quality and Observability team for a new exciting challenge in the data world.

You will work side by side with other engineers to develop and maintain applications that enable us to check and monitor our financial data - and more - at Booking.com. You will collaborate with colleagues in Amsterdam to achieve results the right way. This will include engineering managers, product managers, software and data engineers.

Key Responsibilities and Duties

• Contribute to the development of data platform capabilities such as testing, monitoring and alerting to improve observability in our financial pipelines.

• Experiment with new tools and technologies, driving innovative engineering solutions to meet business requirements regarding performance, scaling, and data quality.

• End-to-end ownership of data quality in complex datasets and data pipelines.

• Serve as the main point of contact for technical and business stakeholders regarding data engineering issues, such as pipeline failures and data quality concerns

The job requirements

• Minimum 5 years of hands-on experience in data engineering as a Data Engineer developing software or as a Software Engineer developing data pipelines and products.

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related field or 5 years of progressively responsible experience in the specialty as equivalent

• Solid experience in at least one programming language. We use Java(preferrable) and Python, Golang.

• Experience building production data pipelines in the cloud, setting up data-lakes and server-less solutions

• Hands-on experience with schema design and data modeling

• Experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

• Knowledge of Flink, CDC, Kafka, Airflow, Snowflake, DBT or equivalent tools

• Practical experience building data platform capabilities like testing, alerting, monitoring, debugging, security

• Experience working with big data.

• Experience working with teams located in different timezones is a plus

• This role will require on-call in the future