Data Analytics Engineer

Who you are

• Minimum of 3+ years of required experience in a data or software-adjacent field, working with systems and data infrastructure at scale
• Experience in designing and implementing mature Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies
• Highly skilled at writing and maintaining high-quality and reusable code, applying design patterns and meeting coding standards
• Experience working in a DevOp/DataOps environment
• Experience with ELT/ETL tools and methodologies
• Experience using scheduled workflow management tools such as Apache Airflow or Argo
• Experience/Expertise with relational databases and any flavour of SQL in an analytical context
• Experience with data exploration/visualisation and data story telling
• Strong stakeholder management and commercial awareness - experience translating ambiguous product / business questions into data models, metric definitions and data products
• Excellent communication (written and spoken) and stakeholder management
• Experience building or supporting data products for online experimentation measurement (ideally in complex / non-standard experimentation settings)
• Experience building data products for customer analytics - modeling behavior such as cohorts, funnels, retention, progression across product states or lifecycle stages etc

What the job involves

• As Data Analytics Engineer II, you will design and build the data foundations, pipelines, and reusable data products that power measurement, reporting, and experimentation across our programs.
• You will translate business needs into scalable models, own end-to-end data quality and governance for datasets used in company-wide and public reporting, and enable self-serve analytics for stakeholders across the business
• Drive 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
• Produce curated, reusable analytical data products to enable self-serve analytics for many internal customers across departments
• Enter a new area, own the quality of the data and work with product owners and scientists to develop the analytics backlog
• Model data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling
• Transform large, complex data sets into pragmatic, actionable insights and provide them in a consumable format for historical or predictive analysis
• Perform Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations
• Build data visualizations to trial/validate data products you build before releasing to customers
• Maintain and tune data pipeline health, including troubleshooting issues

The application process

• The interview process will entail an initial call with one of our Recruiters, and a total of 3 interviews, all conducted via Zoom video conferencing

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options