We are hiring to our team Senior Data Engineer who will develop, construct, test, and maintain data architectures, including databases and large‑scale processing systems, ensuring that these architectures fully support the requirements of the business.
In this role, the Senior Data Engineer plays a collaborative part, working closely with the business’s Data and Analytics teams, gathering technical requirements and contributing to exceptional data governance across the organization.
WHAT WILL YOU DO?
- Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
- Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment.
- Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs.
- Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities.
- Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining.
- Works with data to solve business problems and build and maintain the infrastructure to answer questions with data.
- Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.
- Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.
YOU WILL SUCCEED IF YOU:
- have education of Information technologies –– Master’s degree
- have experiences with ICT Analysis, Architecture & Design - 5 years
- have experiences with Cloud solutions , preferably GCP (orAzure, or AWS) in range of data processing - Expert
- Machine learning - Advanced
- have experiences with Data Analytics – visualization - Expert
- have experiences with Big Data (e.g. MapReduce, Hive, HDFS, YARN, HBase, Oozie) - Expert
- have experiences with Data processing methods (Kafka, Spark) - Advanced
- have experiences with Data streaming, Data warehousing -Expert
- have experiences with SQL and NoSQL Databases - Advanced
- have experiences with programming, scripting - Advanced
- have Data mining techniques - Advanced
- have analytical thinking, Team management, cross-functional Collaboration, strategic thinking and ability to Innovate, Effective Communication and Stress Tolerance
- speak English - Advanced (C1) and German advantage - Intermediate (B1)
Possible specialization
- Experience with usage of ML tools e.g. Tensorflow, Pytorch
- Knowledge of programing languages used in the field of ML (e.g. Python, R)
- Knowledge of distributed filesystems
WHY SHOULD YOU CHOOSE US?
We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:
- Financial benefits
- Benefits with focus on learning and development
- Benefits with focus on health and sport
- Benefits with focus on family and work – life balance
- Other benefits
For more information about our benefits click to Benefits
Salary
Final salary is negotiable.
We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3100€ /brutto.
Additional information
* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.