Data Analytics Engineer I - People Tech
Role details
Job location
Tech stack
Job description
In this role you will work in an Analytics Engineering capacity with other Data Engineers and Data Managers to deliver and own the People Data Warehouse, ingesting data from multiple 3rd party applications (SAAS), and optimising it for Analytics and AI use. This Data Warehouse represents the single source of truth for employee data company-wide., * Drive efficiency and resilience by mapping data flows between systems and workflows across the company
- Ensure standardization by following design patterns in line with global and local data governance requirements
- Support real-time internal and customer facing actions by developing real-time event based streaming data pipelines
- Enable rapid data-driven business decisions by supporting development of efficient and scalable data ingestion solutions
- Drive high-value data by connecting different disparate datasets from the different systems
- Monitor and follow relevant SLIs and SLOs
- Handle, mitigate and learn from incidents in a manner that improves the overall system health
- Ensure ongoing resilience of data processes by monitoring system performance and acting proactively identifying bottlenecks, potential risks, and failure point that might degrade overall quality
- Write readable and reusable code by applying standard patterns and using standard libraries
- Continuously evolve own craft by keeping up to date with the latest development in data engineering and related technologies and upskilling on these as needed
- Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework
- Translate functional requirements into technical specifications for the design, development and maintenance of data models and semantic layers for Analytics and AI use.
Requirements
Do you have experience in Spark?, Do you have a Bachelor's degree?, * Bachelor's degree in a relevant field or equivalent industry experience
- Intermediate knowledge of data governance requirements based on standard methodologies, e.g.DAMA, and tooling for continuous automated data governance activities
- Proven understanding of data quality requirements and implementation methodologies
- Proven experience of applying engineering principles (KISS, SOLID, DRY) and development best practices eg. documentation, non-functional requirements, testing, engineering for failure
- Proven experience in Data exploration, visualisation and storytelling
- 2 years of experience building data pipelines and transformations at scale, with technologies such as Hadoop, AirFlow, Kafka, Spark, MySQL, AWS
- 1 year experience with data modelling
- Experience in HR Saas applications and data is a bonus
Benefits & conditions
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.
