Data Analytics Engineer, Booking.com

• 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

Desirable

• 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