Data Engineer I

rts, improve data quality and lineage, and support analytics and machine learning use cases

The Junior Data Engineer is responsible for supporting development and delivery of end-to-end data solutions. The incumbent supports solution envisaging and technical designs, and drives hands-on implementation. Supports the influencing, differentiation, and guidance to business and technology strategies, as they relate to data, through constant cross-functional interaction.

Key Job Responsibilities and Duties

• Drive efficiency and resilience by mapping data flows between systems and workflows across the company

• Ensure standardisation by following design patterns in line with global and local data governance requirements

• Support real-time internal and customer-facing actions by developing real-time event-based streaming data pipelines

• Enable rapid data-driven business decisions by supporting development of efficient and scalable data ingestion solutions

• Drive high-value data by connecting different disparate datasets from different systems

• Monitor and follow relevant SLIs and SLOs

• Handle, mitigate and learn from incidents in a manner that improves the overall system health

• Ensure ongoing resilience of data processes by monitoring system performance and acting proactively identifying bottlenecks, potential risks, and failure point that might degrade overall quality

• Write readable and reusable code by applying standard patterns and using standard libraries

• Continuously evolve own craft by keeping up to date with the latest developments in data engineering and related technologies, and upskilling on these as needed.

Role Qualifications and Requirements

• Bachelor's or Master's degree in Computer Science or related field

• 1-3 years of relevant job experience

• entry level exposure to a data engineering or related field using a server side programming languages, preferably Scala, Java, Python, or Perl

• entry level exposure to building data pipelines and transformations at scale, with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL

• Basic knowledge of data modeling methods based on best practices, e.g. TOGAF

• Basic knowledge of data quality requirements and implementation methodologies

• Excellent English communication skills, both written and verbal.

Total Reward Philosophy:

• The benefits and perks offered by the company can be found here.

Inclusion at Booking.com:

Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."

Read all about Inclusion and the Employee Resource Groups (ERGs) at Booking.com here

Career Development Opportunities:

• Learn more about Your Career Journey here.

• Become a Mentee and benefit from a mentoring relationship with a more experienced person to help you identify and achieve your professional and personal development goals.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.