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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 a Senior Data Engineer contributes to the operations of an airline, then this opportunity is for you!
Pozíció leírása / Job descriptionAs a senior data engineer...
You will have the autonomy to assess and decide on the best data architectures based on the unique needs of each business case.
Whether transitioning from legacy data warehouse systems or building new data lake solutions, you will architect and implement scalable, robust data pipelines.
You’ll be a vital member of our Business Analytics Support (BAS) team, serving multiple business departments, such as Safety, Security, and Crisis Management.
Your expertise to deliver scalable, future-proof solutions, leveraging both structured and unstructured data.
After crafting these solutions, you'll oversee their seamless operation and ensure their sustained performance.
You'll do all this within an agile framework, preparing us for an impending cloud migration.
Your contributions will be crucial in powering data marts and providing actionable insights to our customers through dashboards.
You'll coach your junior teammates on a technical level.
- 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
- In-depth knowledge of:
- Cloud platforms like GCP (must have) and Azure (good to have).
- 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
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
Boglárka Tóth - boglarka.eva.toth@randstad.hu
Ildikó Mező-Mészáros - ildiko.mezo-meszaros@randstad.hu