Data Analytics Engineer II

Requirements:

• Minimum of 3 years of experience in a data or software adjacent field, working with systems and data infrastructure at scale.

Nice to Haves:

• Entering a new area, owning the quality of the data, and working with product owners and scientists to develop the analytics backlog.
• Working alone and self-steering initiatives, defining and breaking down work for more junior members of the team.
• Driving the culture across the business unit for data quality and data governance and its best practices.
• Actively contributing to the growth of the Data Engineering community at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.

What You'll Be Doing:

• 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.
• Transforming large, complex data sets into pragmatic, actionable insights and providing them in a consumable format for historical or predictive analysis.
• Performing Data Governance responsibilities such as technical stewardship, data classification, compliance management, data quality monitoring, and security considerations.
• Building data visualizations to trial/validate data products you build before releasing to consumers.
• Maintaining and tuning data pipeline health, including troubleshooting issues, implementing data quality controls, monitoring performance, and proactively addressing issues and risks.
• Building data pipelines end to end.
• Leading the technical resolution of problems, and communicating them to both technical and non-technical audiences.
• Supporting product teams in defining the Data Architecture for their domains, from conceptual to physical modeling in the Data Warehouse.

Perks and Benefits:

• 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