Data Engineer with Python

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

Join us as we build new cross-functional teams (Data Engineering, DevOps, Scrum) from the ground up on a greenfield project. Work with modern technologies like GCP (BigQuery, Dataflow, Dataproc), Python, and Spark, and help shape scalable data platforms from day one.

You’ll collaborate with experienced experts, grow your cloud skills, and have the opportunity to explore and learn AI/ML as part of your journey. This is your chance to make an impact while accelerating your career.

                                                                     

WHAT WILL YOU DO?

• Design, build, and maintain scalable data solutions using GCP services such as BigQuery, Dataflow, Cloud Storage, Cloud SQL, Dataproc, and Dataform.
• Develop and optimize ETL/ELT pipelines, including data transformation, integration, and loading workflows.
• Apply advanced SQL and Python (PySpark, Pandas, NumPy) to process, analyze, and transform large datasets.
• Work with distributed data processing frameworks like Spark, leveraging data parallelism and scalable architectures.
• Implement security best practices, including Git-based CI/CD pipelines, role-based access control, encryption, and IAM policies.
• Monitor and improve system performance by identifying bottlenecks and applying optimization strategies.
• Contribute to data modeling and warehousing solutions, including dimensional modeling and schema design (star/snowflake).
• Support the design of scalable, secure, and efficient cloud data architectures.

YOU WILL SUCCEED IF YOU:

• have strong knowledge of ETL/ELT pipelines, data transformation, and integration
• have advanced skills in SQL 
• have experience with Spark and distributed data processing
• understand security best practices (CI/CD, IAM, role-based access, encryption)
• have experience with performance tuning and optimization of data workflows
• are familiar with data warehousing and modeling concepts (dimensional modeling, star/snowflake schemas) – nice to have
• have understanding of cloud architecture and scalable data systems – nice to have
• communicate effectively in English (B2 or higher) and enjoy working in collaborative environment

Skills you can learn, when you join us through intensive training:

• GCP data services (BigQuery, Dataflow, Cloud Storage, Cloud SQL, Dataproc, Dataform)
• Advanced Python (PySpark, Pandas, NumPy)

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 1500€ /brutto.

Additional information

* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.