Position: Senior Data Engineer
Company: Raiffeisen Bank
Category: SQL
Experience required: 3y
English level: intermediate

Raiffeisen Bank is a part of the Raiffeisen Bank International AG (Austria), a leading financial entity in 14 countries. In Ukraine, we have more than 2,7 million clients and almost seven thousand colleagues.

Now we are changing. We took off our old-fashioned jacket to transform into a digital partner. Our transformation journey has started. We welcome you to join Raiffeisen Tech, a kind of IT company within the bank.

We are fully responsible for all tech development. During our transformation we kill bureaucracy, increase efficiency, and achieve high-speed digital products. We implement modern engineering practices, work on innovations that build high-quality interaction with our customers.

Sounds curious? Join the Raiffeisen team!

We will support you professionally and personally:

 You will work in a large international company that provides possibilities for professional and personal growth
 Involvement into challenging, large-scale and diverse projects which have impact on our customers
 Knowledge sharing with colleagues from abroad (strong IT community including 14 Raiffeisen Group Banks)
 Great corporate events and Team building activities
 Competitive salary and bonuses for your efforts and contribution
 Stability and a social package that includes 28 days of paid vacation, medical insurance

Your responsibilities:

Collaborate with data and analytics experts to strive for greater functionality in our data systems
Design, use and test the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies (DevOps & Continuous Integration)
Drive the advancement of data infrastructure by designing and implementing the underlying logic and structure for how data is set up, cleansed, and ultimately stored for organizational usage
Assemble large, complex data sets that meet functional / non-functional business requirements
Build data integration from various sources and technologies to the data lake infrastructure as part of an agile delivery team
Monitor the capabilities and react on unplanned interruptions ensuring that environments are provided & loaded in time

Preferred qualifications:

Minimum 3 years experience in a dedicated data engineer role
Experience working with large structured and unstructured data in various formats.
Knowledge or experience with streaming data frameworks and distributed data architectures (e.g. Spark Structured Streaming, Apache Beam or Apache Flink)
Experience with cloud technologies (preferable AWS, Azure)
Experience in Cloud services (Data Flow, Data Proc, BigQuery, Pub/Sub)
Experience of practical operation of Big Data stack: Hadoop, HDFS, Hive, Presto, Kafka;
Experience of Python in the context of creating ETL data pipelines;
Experience with Data Lake / Data Warehouse solutions (AWS S3 // Minio);
Development skills in a Docker / Kubernetes environment;
Intermediate level of English (or higher);
Open and team-minded personality and communication skills;
Willingness to work in an agile environment.

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