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