Senior Data Engineer

Budapest

Hybrid 5-10 years of professional experience

Short Description

As 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. And naturally, 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.

Description

We are looking for passionate and talented Data Engineers. With everything you do, you keep the end goal in mind. You can do analyses and discovering the core problem in no-time and you provide the best solution for this. Next to this you are able of explaining these issues in an understandable and clear way to stakeholders at every level of the organization. You coach your junior teammates on a technical level. You look for opportunities, make actions out of them and convince the decision makers.Where do you land?You will be part of the Business Analytics Support (BAS) team which is a transversal team and an integral part of Business Platform Safety, Security & Crisis Management (BPSSC), part of Data & Technology (D&T) organization. The team deals with handling data of safety audits, incident reports, rules and regulations, handbooks, passengers, etc.

Requirements

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