Role Description:
At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than just 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 journey 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.
The Data team's responsibilities include data platforms, warehousing, enrichment and machine learning functionality, enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. You will be responsible for delivering products that advance data excellence and innovation within your product team, and across the business, helping us shape Booking.com’s data journey.
The Platform team is responsible for creating , developing and maintaining a robust data platform and integrations in/out of it. In conjunction with our colleagues across Booking.com, the team is embarking on an ambitious modernisation programme focusing not just on infrastructure transition to the cloud but a complete overhaul of data ingestion, quality, security and governance. Providing a platform as a service is our goal.
Using the ecosystem our platform team have created, our Data Enablement teams work closely with teams across the business to ensure that data is ingested, transformed and enriched into secure, high quality, well governed consumption layers. Our customers are anyone from Finance to Marketing and everyone in between. Again all these teams are engaged in our data modernisation programme which will transform how data is produced, managed, and analysed to make great decisions that grow our business inline with our ambitious goals.
This Data Engineering team is focussed on Flights data at Booking. We are building new products for creating, maintaining, and presenting flights data using the Booking Data Exchange (BDX) platform. We enable our analysts and product teams to make data-driven decisions about product improvements, streamline their processes, and build a deeper understanding of their systems.
As a Data Engineer, you’ll join to work alongside curious, energetic, and focused people. You are responsible for delivering our vision to create a fully integrated, scalable, high performance and compliant data platform and pipelines. You’ll help roadmap and deliver replacements for the current ad-hoc data solutions with strong foundations built on modern technologies and practices that will make it easy to produce large quantities of high quality data for consumption and analysis. We expect you to actively contribute to team discussion with questions, have and share opinions and align behind decisions when made as if they were your own.
Iteratively develop next-generation scalable, reliable, flexible, high-performance data pipeline capabilities and data platforms.
Use standardised tooling and procedures to work with business users to model and implement data pipelines which are performant, scalable, reliable, secure, well governed with required observability.
Engage with other teams as needed to achieve business objectives.
End-to-end ownership of data quality in our core datasets and data pipelines.
Engage with other teams to help them identify and resolve data quality issues.
Be responsible for maintaining data quality, security, integrity and governance by effectively following regulatory requirements, company standards, and best practices
Adhere to the defined principles for architecture, quality and non-functional requirements.
Proactively help colleagues grow professionally, taking a significant role in on-boarding and mentoring new team members.
Continuously improve services you own, making them more performant, and utilising resources in the most optimised way.
Ensure that products / services are always kept up to date with the latest technology standards and company guidelines.
Ensuring that service level agreements are met by implementing tests and processes.
Perform profiling to find bottlenecks and optimise performance, and ensure that performance metrics are set up and monitored for product health.
Be able to connect business and product goals to complex technical tasks.
Solve issues by prioritising; on customer impact and perform root cause analysis to find ways to prevent recurrence.
Contribute to Booking.com’s growth through interviewing, on-boarding and other recruitment efforts.
Be working in an agile environment and expect to contribute towards your team's ways of working.
Be expected to provide out of hours support on a rota.
We expect our Data Engineers to have a strong foundation in Big Data Engineering to help them deliver resilient, scalable data pipelines and solutions that support our customers analysis and machine learning needs.
We are looking for driven Data Engineers who enjoy solving problems, are proactive, collaborative and goal orientated. Who are communicative and believe that any challenge can be scaled with the right mindset, collaboration and tools.
3+ years of experience of designing, building, and optimising Data Lakes/Warehouses in databases such as Snowflake, Redshift, BigQuery, etc.
2+ years of experience in a scripting language like Python or Scala.
1+ years of experience in Streaming, using Kafka
Driving the implementation of reliable and well trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.
Producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.
Modeling data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.
Self motivated to explore new technologies.
Excellent communication skills - being able to effectively communicate to both technical and non-technical stakeholders.
Excellent attention to detail.
Be a ‘Self Starter’ and highly motivated team player.
Have a ‘root cause analysis’ mindset to problem and issue resolution. Is able to break down complex problems and find solutions by using logical and analytical thinking.
Fully comfortable working in English, both written and spoken.
Experience with Airflow, Snowflake, pySpark.
Experience working in a Data Governance L3 environment
Experience with AWS.
Passionate about test automation
You have an intrinsic curiosity in technological innovations and you are always on top of the latest trends.
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, colour, religion, 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.
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:
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