Senior Data Engineer with Python

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Senior Data Engineer with Python

  • English
  • IT
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Main 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. 

Desired 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 knowledge of cloud data solutions (preferably GCP, but AWS or Azure are also fine) 
  • 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 
  • 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 

Deutsche Telekom Services Europe (DTSE) was founded by Deutsche Telekom AG and delivers support services, with focus on HR, for the European footprint of DT Group.
Join us in this international environment and you’ll be exposed to many different competencies, cultures and languages.
If you want to join this innovative team and take the opportunity to be part of a growing company, apply now!

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.

By applying for this job you accept the DT privacy statement:

To process your online application we collect, process and use your personal data. We will treat your data as strictly confidential in accordance statutory provisions.

By submitting your application, you consent to your data being processed electronically, including by third parties. Data is only passed on to HR service providers that have been carefully selected by Deutsche Telekom AG.

For detailed information read the local data protection when applying for a job position at Deutsche Telekom Group.

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