The Senior Data Engineer is a technical leader who drives data engineering strategies and delivery across a team. You will lead solution envisaging, technical designs, and hands-on implementation.
You need to influence, differentiate, and guide the business and technology strategies, as they relate to data, through constant cross-functional interaction.
You ask the right questions to the right people in order to align data strategy with commercial strategy, demonstrating technical expertise and business knowledge.
Support the data requirements of new and existing solutions by developing scalable and extensible physical data models that can be operationalised within the company’s workflows and infrastructure
Drive efficiency and resilience by mapping data flows between systems and workflows across the company
Ensure standardisation 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 developing efficient and scalable data ingestion solutions
Drive high- value data by connecting different disparate datasets from different systems into a well- managed unified solution
Own end- to- end data and data applications by defining, monitoring and adjusting relevant SLIs and SLOs
Handle, mitigate and learn from incidents in a manner that improves the overall system health
Ensure accuracy by developing criteria, automation, and processes for data production, transport, transform, and storage
Ensure compliance with data- related requirements by building solutions in line with all applicable standards and regulations
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
Build software applications by using the relevant development languages and applying in- depth knowledge of the systems, services and tools used by the specific business area
Write readable and reusable code by applying standard patterns and using standard libraries
Continuously evolve your craft by keeping up to date with the latest developments in data engineering and related technologies, introducing them to the community and promoting their application in areas where they can generate impact.
Actively contribute to Data Engineering at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.
Push for improvements, scaling and extending data engineering tooling and infrastructure, collaborating with central teams.
You are a role model of the Booking.com values :
Thrive on change and get things done
Demand a high standard of excellence in their craft
Embrace the opportunity to improve
Understand success starts with accountability and ownership
Care more about being successful and reaching goals together than individually
Curious, experiments and continuously learns
Humble, open, friendly and remembers that diversity gives us strength
Level of Education
Bachelors degree in Computer Science or related field
Masters degree in Computer Science or related field
Years of relevant Job Knowledge
6+ years of experience in a data engineering or related field using a server side programming languages, preferably Scala, Java, Python, or Perl
4+ years of experience building data pipelines and transformations at scale, with technologies such as Hadoop, Cassandra, Kafka, Spark, HBase, MySQL
2+ years of experience in data modeling,
2+ years of experience handling data streaming
Requirements of special knowledge / skills
Intermediate knowledge of data modeling methods based on best practices, e.g. TOGAF
Intermediate knowledge of data governance requirements based on best practices, e.g. DAMA, and tooling for continuous automated data governance activities
Strong knowledge of data quality requirements and implementation methodologies
Excellent English communication skills, both written and verbal.