Senior Data Engineer

About the team

We are a small team in a big company, mainly adopting agile methodology. We provide Data Science solutions for internal customers inside Deutsche Telekom and our skills and solutions are continually in high demand. Therefore, we want to increase the size of our team with additional technical people that know how to process and analyze data so we can serve and satisfy needs of even more customers.

We are looking for somebody who can work independently, create working solutions quickly, creatively come up with new ideas, but also knows how to use and where to look for existing solutions. Our project members are also situated in Germany, Slovakia or Romania so video conferencing is the daily standard.

Key Responsibilities

• Become an essential part of AI Shared Services team focused on building comprehensive data architecture frameworks and strategies aligned with business objectives.
• Proactively identify opportunities to improve our data infrastructure and processes for our ML solutions by proposing and implementing innovative solutions
• Develop and maintain our data processing and ETL pipelines.
• Create and maintain data models, schemas, and metadata repositories to ensure data integrity and accessibility.
• Integrate data from various internal and external sources.
• Collaborate with stakeholders to gather requirements and translate them into effective data solutions.
• Implement data governance policies and standards to ensure compliance and data quality.
• Stay up to date with recent data engineering technologies and developments.
• Provide technical guidance and mentorship to data engineering team members.
• Write clean, production ready, well-documented and tested code.

Competence Profile

• Bachelor or Master of Science in Computer Science, Information Systems or similar technical fields
• 5+ years of experience as a data engineer, data architect, or similar roles
• Fluent in English (German / Czech / Slovak is a plus)
• Advanced database systems knowledge (SQL, NoSQL, database optimization techniques)
• Strong knowledge of data modeling techniques and methodologies (dimensional, relational, etc.)
• Enhanced practical experience with ETL/ELT processes and development of data pipelines
• Extensive experience with modern data warehouses (BigQuery, Snowflake, Redshift)
• Advanced Python knowledge (OOP, design patterns, testing, good coding practices and popular data processing libraries)
• Experience with using and/or building APIs and integrating data from various sources.
• Knowledge of orchestration tools such as Dagster or Airflow
• Knowledge of cloud data solutions (preferably GCP, but AWS or Azure are also fine)
• Strong analytical skills, ability to understand complex data structures and produce efficient data solutions. Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.

Bonuses:

• Experience with agile work (Scrum, Kanban)
• Working knowledge of Gitlab CI/CD
• Working knowledge of containerization technologies (Docker, Kubernetes) and related deployment tools (helm, jenkins)
• Experience with data visualization tools (e.g. Power BI, MicroStrategy)
• Experience developing and operating machine learning applications

Interpersonal Skills

• Proactivity towards customer service is essential
• Flexible and responsive to changing work patterns and demands
• A thorough and methodical approach to work
• Highly developed skills in interpersonal communication
• Knowledge sharing – active contributor

DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity.

DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics.

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