Job Overview
As a Senior Data Engineer at Skyscanner, you will lead the end-to-end collection and processing of traveller and business data, transforming it into actionable insights to solve complex business problems and optimize the traveller journey. You will handle large data sets and enhance them, utilizing your technical skills in Python, Spark, AWS, Airflow, Databricks, SQL, and batch/stream processing.
Responsibilities
- Lead the collection and processing of data.
- Convert data into a clear vision of user intent.
- Solve complex business problems.
- Optimize the traveller journey.
- Enhance large data sets using advanced technologies.
Technical Skills
- Proficiency in Python, Spark, AWS, Airflow, Databricks, SQL, and batch/stream processing.
- Experience with machine learning and cloud services.
- Strong knowledge of data engineering, databases, and ETL processes.
Benefits
- Medical insurance and health screenings.
- Headspace subscriptions and a home office allowance.
- Option to buy more holiday and work from any country for 4 weeks a year.
- Spend 30 days in Skyscanner's global offices.
Work Environment
Skyscanner offers a hybrid work environment, requiring presence in the office for an average of 8 days per month. This flexibility supports innovation, learning, collaboration, and inspiration among team members.
Why Join Us?
Join a global leader in travel, committed to helping travellers explore the world effortlessly. At Skyscanner, you'll be part of a pioneering team dedicated to creating a sustainable and straightforward booking experience using the latest technologies and insights.
Benefits Extracted with AI
- Medical insurance
- Health screenings
- Headspace subscriptions
- Home office allowance
- Option to buy more holiday
- Work from any country for 4 weeks a year
- 30 days in global offices
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