Senior Data Engineer

• Become a key member of our AI Shared Services team, designing and developing data architecture frameworks aligned with business goals
• Identify opportunities to optimize data infrastructure and processes supporting our ML solutions
• Build and maintain data processing and ETL pipelines
• Design and manage data models, schemas and metadata repositories to ensure quality and accessibility
• Integrate data from a wide range of internal and external sources
• Collaborate closely with stakeholders to understand needs and translate them into effective data solutions
• Implement data governance standards ensuring compliance and high data quality
• Stay up to date with trends in data engineering and emerging technologies
• Provide mentorship and technical guidance to other data engineers
• Write clean, production-ready, well-tested code

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience as a Data Engineer, Data Architect, or similar role
• Fluent English (German / Czech / Slovak are an advantage)
• Strong knowledge of SQL/NoSQL databases and optimization techniques
• Solid understanding of data modeling (dimensional, relational, etc.)
• Hands-on experience with ETL/ELT processes and building data pipelines
• Deep experience with cloud data platforms (preferably GCP; AWS or Azure also welcome)
• Experience with modern data warehouses (BigQuery, Snowflake, Redshift)
• Advanced Python skills (OOP, design patterns, testing, best practices, data libraries)
• Experience working with APIs and integrating data from diverse sources
• Knowledge of orchestration tools such as Dagster or Airflow
• Strong analytical thinking and the ability to explain complex topics to non-technical stakeholders

• Experience working in agile environments (Scrum, Kanban)
• Knowledge of GitLab CI/CD
• Familiarity with containerization (Docker, Kubernetes) and deployment tools (Helm, Jenkins)
• Exposure to BI and data visualization tools (Power BI, MicroStrategy)
• Experience developing or operating machine learning applications

We want you to know that we value our employees and want to provide you with more than just a job. As a valued member of our team, you will receive a range of benefits that include:

• An annual financial bonus
• An extra week of holiday (25 days/year), Up to 5 My days, and 1 day off for volunteering
• Additional paid time offs for married couples/registered partnerships, parents on the first day of school, extended paternity leave, and time-offs for foreigners dealing with state office matters
• Flexible working hours and the possibility to work remotely
• Pension plan contribution
• Free refreshments (water, coffee, tea, milk, and fruits available in the office)
• Company Shares
• Alza Discounts
• Company mobile phone and laptop
• Meal vouchers in the amount of 160 CZK per working day
• A variety of Benefits (Cafeteria Plan, Multisport Card, Makro Card)
• A family program with T-Mobile (discounts for employee’s family members and friends)
• Training and qualification opportunities (access to the internal learning HUB)
• Personal development opportunities (career path, job rotation, Bring your own Project)
• Involvement in various activities supporting charity organizations (Flea markets, volunteering days, food collections)
• A relocation package for candidates coming from abroad
• Opportunities for relaxation and wellness activities (massage chair, PlayStation 5, etc.)
• Fun team events such as brunches, Health Day, and summer and holiday parties!

As a part of Deutsche Telekom Group, we ensure not only work-life balance and international career opportunities but also personal development opportunities. We support all individuals in their performance, development, and growth. We offer a variety of trainings, qualifications, and e-learning activities to actively support the rising of common expertise.

At Deutsche Telekom Services Europe Czech Republic, we are proud to be an equal opportunity workplace and employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. We welcome applicants from all backgrounds and strive to create a workplace that is supportive, empowering, and inclusive.