Data Engineer - Analytics and Data Science

Data Engineer - Analytics and Data Science

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 make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we can empower 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.
• 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 owner by the analytics team.
• 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 2 or more server-side programming languages -- preferably Java, Scala, Python, Perl, etc.
• Experience with building scalable data pipelines in distributed environments with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL, etc.
• Strong understanding of AWS and snowflake architectures
• Knowledgeable about data modeling, data access, and data storage techniques.
• Understands and can develop streaming processing applications using technologies like Flink, Kafka-Streams, Spark-Streaming, etc.
• Hands-on experience of developing in and supplying open-source data technologies, such as Hadoop
• Proven experience with SQL, HQL, CQL, etc.
• Experience of working on systems on a large scale.
• 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

• 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 HQ Campus in Amsterdam, 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