Role Description
This role is based in Amsterdam.
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, focusing especially on data quality. You will work independently and will also be responsible for making technical decisions within a team.
- Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
- 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.
- 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 a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
- Promote and drive impactful and innovative engineering solutions
- Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Role Qualifications and Requirements
- You have more than +3 years of professional experience as a Software Developer/Data Engineer and hold a degree in a quantitative field
- You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; you have hands-on experience with schema design and data modeling.
- You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)
- Proven knowledge of Python is required, Java/Scala will be a plus
- Knowledge of Hadoop, Hive, Sqoop, MySQL imports, Oozie, Spark, CDC, Kafka, Cassandra, Airflow.
- Experience with Data Warehousing and ETL/ELT pipelines
- You are driven by petabytes of our data via MySQL, Hadoop, Cassandra, etc
- Excellent communication skills - verbal and written
: Global Impact, Personal Relevance
- Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
- A beautiful sustainable, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office*
- Commuting allowance and bike reimbursement scheme
- Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
- Free access to online learning platforms, development and mentorship programs
- Global Employee Assistance Program, free Headspace membership
Career Development Opportunities
- Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities
- Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly
Application Process
- The interview process entails: an online Coding challenge, a coding interview, a system design interview, and a final behavioral interview
- Full relocation support will be offered for you and your family (if the case) to move to Amsterdam - one of the most cosmopolitan cities in Europe.
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.
