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Lead Data Engineer with Google cloud GCP (m/f/d)

Deutsche Telekom IT·Salary not specified

Primary stack

SQLPythonGCPETL

Job description

Lead Data Engineer with Google Cloud GCP (m/f/d)

  • Employment Type: Full-time
  • Location: Remote from Slovakia
  • Company: Deutsche Telekom IT and Telecommunications Slovakia
  • Language: English
  • Job Category: Technical positions

About the Position

We are seeking a Lead Data Engineer with advanced GCP skills to manage and oversee the entire data engineering process, from data acquisition to data analysis.

About the Company

Deutsche Telekom IT Solutions Slovakia, a prominent player in the Košice region since 2006, has grown to become the second-largest employer in the eastern part of the country with over 3900 employees. Our mission is to continuously innovate and transform into a leading provider of information and communication technology services.

Responsibilities

  • Design, build, and maintain scalable data pipelines using GCP services such as Google BigQuery, Google Cloud Dataflow, Google Cloud Storage, and Google Cloud SQL.
  • Develop and optimize ETL/ELT workflows for transforming and loading large datasets efficiently.
  • Work with SQL and Python (including PySpark, Pandas, and NumPy) to process and analyze data.
  • Build and maintain distributed data processing solutions using Spark and data parallelism principles.
  • Collaborate with data scientists, engineers, and stakeholders to understand data requirements and deliver reliable solutions.
  • Implement security best practices, including role-based access control, IAM policies, and data encryption.
  • Monitor, troubleshoot, and optimize system performance, identifying bottlenecks and improving efficiency.
  • Contribute to data architecture and data modeling (e.g., star and snowflake schemas) where needed.
  • Support best practices in version control and CI/CD pipelines (e.g., Git-based workflows).
  • Mentor and guide junior data engineers, providing technical and professional development opportunities to help them grow in their careers.

Requirements

  • Experience in data engineering and data pipeline development.
  • Advanced skills in SQL.
  • Advanced skills in Python (including PySpark, Pandas, NumPy).
  • Advanced skills in GCP data services (e.g., Google BigQuery, Google Cloud Dataflow, Google Cloud Storage, Google Cloud SQL, Google Cloud Dataproc).
  • Advanced skills in ETL/ELT pipelines.
  • Advanced skills in Spark and distributed data processing.
  • Analytical skills, problem-solving skills, effective communication, presentation skills, cross-functional collaboration, and ability to innovate.
  • Team management, project management, and agile methodology experience.
  • Advanced English proficiency (C1).
  • Experience with data warehousing and data modeling (star/snowflake schemas).
  • Knowledge of cloud architecture and designing scalable data systems.
  • Experience with performance tuning and optimization of data systems.
  • Understanding of security best practices (IAM, role-based access control, encryption, Git-based workflows).
  • German language skills are a plus.

We Offer

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. We offer over 25 different benefits to improve employees' personal and professional life, including:

  • Financial benefits
  • Benefits with a focus on learning and development
  • Benefits with a focus on health and sport
  • Benefits with a focus on family and work-life balance
  • Other benefits

For more information about our benefits, click here.

Salary

Final salary is negotiable. We offer a base salary depending on seniority level and previous experience of the candidate. In addition to the base salary, we provide a variable part and other financial benefits. The base salary will not be lower than 3500 € /brutto.

Additional Information

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

Job Location

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