Data Analytics Engineer II

Role Description

At Booking.com, data drives our decisions. Technology is at our core and innovation is everywhere. 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 business performance and improve the experience of customers. You will be responsible for delivering products that advance data excellence and innovation within your product team and across the business, helping shape Booking.com’s data journey.

Data Teams

Platform Team

The Platform team is responsible for creating, developing and maintaining a robust data platform and integrations in and out of it. In conjunction with 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 the goal.

Data Enablement Teams

Using the ecosystem the platform team has created, the 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. Customers range from Finance to Marketing and everyone in between. These teams are engaged in a data modernisation programme which will transform how data is produced, managed and analysed to make great decisions that grow the business in line with ambitious goals.

Flights Data Enablement Team

This Data Engineering team is focused on Flights data at Booking.com. The team is building new products for creating, maintaining and presenting flights data using the Booking Data Exchange (BDX) platform. It enables analysts and product teams to make data-driven decisions about product improvements, streamline their processes and build a deeper understanding of their systems.

Responsibilities

As a Data Engineer, you’ll work alongside curious, energetic and focused people. You will be responsible for delivering the vision to create a fully integrated, scalable, high performance and compliant data platform and pipelines. You’ll help roadmap and deliver replacements for current ad-hoc data solutions with strong foundations built on modern technologies and practices that make it easy to produce large quantities of high quality data for consumption and analysis. You are expected to actively contribute to team discussion with questions, share opinions and align behind decisions once made as if they were your own.

You will:

• 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 and have required observability.
• Engage with other teams as needed to achieve business objectives.
• Take end-to-end ownership of data quality in core datasets and data pipelines.
• Engage with other teams to help them identify and resolve data quality issues.
• Maintain 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 onboarding 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 and services are always kept up to date with the latest technology standards and company guidelines.
• Ensure 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.
• Connect business and product goals to complex technical tasks.
• Solve issues by prioritising customer impact and performing root cause analysis to prevent recurrence.
• Contribute to Booking.com’s growth through interviewing, onboarding and other recruitment efforts.
• Work in an agile environment and contribute towards your team's ways of working.
• Provide out of hours support on a rota.

Skills

Data Engineers are expected to have a strong foundation in Big Data Engineering to help deliver resilient, scalable data pipelines and solutions that support customer analysis and machine learning needs.

Booking.com is looking for driven Data Engineers who enjoy solving problems, are proactive, collaborative and goal orientated, are communicative and believe that any challenge can be scaled with the right mindset, collaboration and tools.

Requirements:

• 3+ years of experience designing, building and optimising Data Lakes or Warehouses in databases such as Snowflake, Redshift, BigQuery or similar technologies.
• 2+ years of experience in a scripting language like Python or Scala.
• 1+ years of experience in streaming using Kafka.
• Experience driving the implementation of reliable and trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.
• Experience producing curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments.
• Experience 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, with the ability to effectively communicate to both technical and non-technical stakeholders.
• Excellent attention to detail.
• A self-starter mindset and strong motivation as a team player.
• A root cause analysis mindset for problem and issue resolution, with the ability to break down complex problems and find solutions using logical and analytical thinking.
• Full comfort working in English, both written and spoken.

Bonus points for:

• Experience with Airflow, Snowflake and pySpark.
• Experience working in a Data Governance L3 environment.
• Experience with AWS.
• Passion for test automation.
• Intrinsic curiosity in technological innovations and staying on top of the latest trends.

Benefits 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 of up to 1400 per year for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.

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.