Data Engineer I at Booking.com

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Snowflake, AWS, Spark, Kafka, MySQL, Dbt, Airflow, Dagster, Docker, Kubernetes, SQL, Data modeling, CI/CD, Data governance

Industry

Software Development

Description

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. Role Description In the Payments Accounting Analytics team our mission is to build and deliver accurate Financial Close metrics supplemented with actionable data insights. One of the foundational tasks to deliver this is to build and maintain optimal data models and ETL flows to enable data analysts and data scientists . Key Job Responsibilities and Duties As a Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, with a special focus on data quality. You will work independently and will also be responsible for making technical decisions within a team while establishing strong relationships with product and Data platform teams within Finance, Fintech and Central tech. Important Aspects Of The Job Include Rapidly developing next-generation scalable, flexible, and high-performance data pipelines for the analysts to develop reports and dashboards. Managing orchestration jobs at scale, debugging and resolving issues and continuously maintaining to support reporting needs Solving issues with data and data pipelines, prioritizing based on customer impact. End-to-end ownership of data quality in our core datasets and data pipelines. Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality. Setting up data governance and control on data models and ETL workflows owned by the analytics team. Importing new data tables to the SOx compliant platform with completeness and accuracy checks and setting up monitoring Providing tools that improve Data Quality company-wide. Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise. Acting as an intermediary for problems, with both technical and non-technical audiences. Supplying to the growth of Booking.com through interviewing, on-boarding, or other recruitment efforts. Role Qualifications and Requirements We are looking for driven Data Engineers who enjoy solving issues, who initiate solutions and discussions, and who believe that any challenge can be scaled with the right demeanor and tools. The ones that fit us best are the people who match the following requirements: Proven experience of 2+ years in the field, using 1 or more programming languages, preferably in Python or Java Experience with building scalable data pipelines in distributed environments with technologies such as Snowflake, AWS, Spark, Kafka, MySQL, and transformation tools like dbt. Strong understanding of AWS, Azure or Google cloud and snowflake architectures Proven experience with SQL, HQL, CQL, etc. Experience with orchestration tools like Airflow, Dagster or something similar Experience deploying and operating AI-powered applications in production using Docker, Kubernetes, cloud infrastructure Knowledgeable about CI/CD pipelines, data modeling, data access, and data storage techniques. Experience with Data monitoring/observability tools, and strong debugging/troubleshooting skills. Experience of working on systems on a large scale. Experience with BI and data visualization tools like Streamlit, Tableau, Power BI, etc Familiarity with SOx compliance and data governance Good understanding of basic analytics and machine learning concepts. Preferably a university degree in Computer Science. Excellent communication, written and spoken. Benefits & Perks - Global Impact, Personal Relevance: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include: Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit Inclusion at Booking.com: Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding 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.” We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process: Let’s go places together: How we Hire Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department. This role does not come with relocation assistance. 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.

Responsibilities

You will be responsible for developing, scaling, and maintaining high-performance data pipelines while ensuring data quality and governance. You will also collaborate with product and data platform teams to deliver actionable financial close metrics and insights.