What will you do?

Purpose
The data engineer develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems, and ensures that architecture fully supports requirements of the business.

Key accountabilities

• Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
• Designs, builds, implements and maintain of 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.
• Works with data to solve business problems and will build and maintain the infrastructure to answer questions with data.

You will succeed if you:

Education

• Information technologies – Bachelor’s degree

Experience

• ICT Analysis, Architecture & Design - 3 years

IT Technical Skills

• Cloud solutions (Azure,AWS, or Google cloud) in range of data processing - Intermediate
• Data Analytics – visualization - Intermediate
• Big Data Solutions - Advanced
• Data processing methods (Kafka, Spark) - Advanced
• Data streaming, Data warehousing - Advanced
• SQL and NoSQL Databases - Intermediate
• Programming (preferably Java or Python), scripting - Intermediate
• Operational support

Soft skills

• Analytical Thinking
• Crossfunctional Collaboration
• Strategic Thinking
• Ability to Innovate

Languages

• English - Upper intermediate (B2)
• German advantage - Intermediate (B1)

Possible specialisation (optional for recruitment reasons)

• 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

Benefits with * are applicable also to part-time positions.
This information may be subject to changes and other internal rules.

Wage (gross)

1 300 EUR/monthFinal 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.

Contact