Would you like to work at a company where professional growth goes hand in hand with a strong emphasis on work-life balance?
Are you looking for new challenges?
If you're fascinated by the world of airlines and eager to gain insight into how an Data Engineer contributes to the operations of an airline, then this opportunity is for you!
Pozíció leírása / Job descriptionYou will be part of the Business Analytics Support team, which is a transversal team and an integral part of Business Platform Safety, Security & Crisis Management. The team deals with handling data of safety audits, incident reports, rules and regulations, handbooks, passengers, etc.
We are a team of data/software engineers, data analysts, business product analysts, product owner and scrum master who work together according to the scaled agile way of working. We own the application used to register safety incidents, reports and follow-ups.
Your daily tasks will be:
- dealing with ETL processes
- creating data pipelines
- doing analyses and discovering the core problem in no-time
- explaining data engineering related issues in an understandable and clear way to stakeholders at every level of the organization
- focusing on Python development related tasks using SPARK
- Bachelor degree or higher in Computer Science, Software Engineering or other relevant fields (less important considering work experience)
- At least 5 - 10 years of experience building production-grade data processing systems as a Data Engineer
- Cloud platforms like GCP, Azure or AWS (must have, GCP is preferred).
- The Hadoop ecosystem.
- Building applications with Apache Spark; including Spark Streaming
- Columnar storage solutions like Apache HBase; including knowledge about data modelling for columnar storage
- Experience with Event Streaming Platforms like Apache Kafka
- Experience with 2 or more server-side programming languages, e.g. Python, Java, Scala (Good to have), etc.
- Understanding of common algorithms and data structures
- Experience with databases and SQL
- Experience with conceptual, logical and physical data modelling
- Knowledge of continuous integration/continuous deployment techniques
- Affinity with Machine Learning and/or Operations Research concepts
- Advanced level English skills
Competitive compensation package (cafeteria plan, home office support, bonus, discounted airline tickets)
Flexible working hours
Option to work from home 4 days a week
Professional training opportunities
Language courses
Motivating, friendly, and supportive team
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