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

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Onsite

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

T-Mobile

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

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonNumPypandasGoogle BigQueryGitData AnalysisPySpark

7 days ago

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Important information


Contract type:

Temporary

Location:

Uttar Pradesh, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


Job ID: 744000129981729

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

Juh

Junior entry

Regular

Deutsche Telekom IT and Telecommunications Slovakia

Your Task

As a Lead Data Engineer, your purpose is to manage and oversee the entire data engineering process, from data acquisition to data analysis. You will be responsible for designing, building, and maintaining the data infrastructure necessary for effective data management and analysis. You will work closely with data scientists, analysts, and other stakeholders to ensure the accuracy, reliability, and accessibility of data. Your role will also involve mentoring and leading a team of data engineers, setting technical direction, and ensuring the successful delivery of data engineering projects.

You will join a newly formed team working on a greenfield data platform, building a modern data product from the ground up. The team is co-located, enabling strong collaboration, fast decision-making, and a supportive environment. You will have real impact on architecture and ways of working from day one. The project leverages modern GCP technologies such as Google BigQuery, Google Cloud Dataflow, and Google Cloud Dataproc, offering interesting technical challenges without legacy constraints.

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.

Your Profile

We are seeking a Lead Data Engineer with extensive experience in data engineering and pipeline development, strong technical expertise in GCP data services, SQL, Python, and distributed data processing, along with leadership capabilities to mentor junior engineers and drive technical direction.

Must Have Skills

  • Experience in data engineering
  • Experience in data pipeline development
  • Advanced SQL skills
  • Advanced Python skills (including PySpark, Pandas, NumPy)
  • Advanced experience with GCP data services (Google BigQuery, Google Cloud Dataflow, Google Cloud Storage, Google Cloud SQL, Google Cloud Dataproc)
  • Advanced experience with ETL/ELT pipelines
  • Advanced experience with Spark and distributed data processing
  • Analytical skills
  • Problem solving skills
  • Effective communication skills
  • Presentation skills
  • Cross functional collaboration skills
  • Ability to innovate
  • Team management skills
  • Project management skills
  • Agile methodology knowledge
  • Advanced English language proficiency (C1 level)
  • 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)

Nice to Have Skills

  • German language proficiency

About Us

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

Benefits

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.

The company offers over 25 different benefits to improve personal and professional life in these areas:

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

For more information about benefits: Benefits

Salary: Final salary is negotiable.

Base salary will not be lower than €3,500 gross, depending on seniority level and previous experience of candidate. In addition to base salary, the company provides variable part and other financial benefits.

Company Policies

  • Remote working possibility is only available within Slovakia due to European taxation regulation

Job Benefits

Financial

  • Base salary not lower than €3,500 gross
  • Variable compensation component
  • Additional financial benefits

Work-Life Balance

  • Attractive and extensive work-life balance portfolio
  • Over 25 different benefits to improve personal and professional life

Professional Development

  • Benefits with focus on learning and development
  • Mentoring and professional development opportunities

Lifestyle & Wellness

  • Benefits with focus on health and sport
  • Benefits promoting physical and mental well-being

Family Support

Benefits with focus on family and work-life balance

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