Data Engineer

You are the ideal candidate if you have...

Significant experience in data engineering, with a strong focus on ETL processes.
Proficiency in Python and SQL for data manipulation and processing.
Hands-on experience with data cloud platforms, such as AWS, Azure, or GCP.
Expert knowledge in data management, including data integration, quality, and lifecycle practices.
Familiarity with agile working methods and comfort with iterative development cycles.
Practical experience with DBT (Data Build Tool) for data transformation.

Join a diverse and forward-thinking team that embraces an agile, innovative work culture.
Receive support for continuous learning, including training and development programs.
Be part of an international, collaborative team that values feedback and shared success.
Enjoy a flexible work environment with the option for remote work and flexible hours.
Take on engaging projects that provide meaningful experience in data engineering and data management.
Receive a competitive salary and benefits package that reflects your contributions.

Be part of a dynamic and supportive team that values open communication, teamwork, and professional development.
Gain exposure to cutting-edge data management tools and methodologies.
Work in a flexible, hybrid environment that promotes work-life balance.
Access ongoing career development opportunities, including mentorship and training.
Contribute to meaningful, impactful projects that drive business insights and growth.

Strong team player with a collaborative approach.
Excellent communication skills, with the ability to give and receive constructive feedback.
Independent problem-solver, capable of addressing challenges proactively.
Agile mindset with a desire to adapt and improve.
Curiosity and eagerness to learn new tools and grow professionally.

Design, develop, and maintain ETL pipelines to support data integration and reporting needs.
Collaborate closely with business stakeholders to understand data requirements and deliver optimized solutions.
Work with cloud platforms to manage and store data securely and efficiently.
Implement data transformation logic in DBT, ensuring data quality and consistency across various platforms.
Participate in an agile team environment, contributing to regular sprints, stand-ups, and planning sessions.
Leverage tools like Apache Airflow for workflow management and orchestration.

Flexible, hibryd working method (4 days from home and 1 day from Magyar Telekom HQ)

Lódi-Venczel Dorottya
Recruitment Specialist
Kérdezz a LinkedIn-en

Érdekel? Vágj bele!

JELENTKEZEM

Significant experience in data engineering, with a strong focus on ETL processes.
Proficiency in Python and SQL for data manipulation and processing.
Hands-on experience with data cloud platforms, such as AWS, Azure, or GCP.
Expert knowledge in data management, including data integration, quality, and lifecycle practices.
Familiarity with agile working methods and comfort with iterative development cycles.
Practical experience with DBT (Data Build Tool) for data transformation.

Strong team player with a collaborative approach.
Excellent communication skills, with the ability to give and receive constructive feedback.
Independent problem-solver, capable of addressing challenges proactively.
Agile mindset with a desire to adapt and improve.
Curiosity and eagerness to learn new tools and grow professionally.

Design, develop, and maintain ETL pipelines to support data integration and reporting needs.
Collaborate closely with business stakeholders to understand data requirements and deliver optimized solutions.
Work with cloud platforms to manage and store data securely and efficiently.
Implement data transformation logic in DBT, ensuring data quality and consistency across various platforms.
Participate in an agile team environment, contributing to regular sprints, stand-ups, and planning sessions.
Leverage tools like Apache Airflow for workflow management and orchestration.

Join a diverse and forward-thinking team that embraces an agile, innovative work culture.
Receive support for continuous learning, including training and development programs.
Be part of an international, collaborative team that values feedback and shared success.
Enjoy a flexible work environment with the option for remote work and flexible hours.
Take on engaging projects that provide meaningful experience in data engineering and data management.
Receive a competitive salary and benefits package that reflects your contributions.

Be part of a dynamic and supportive team that values open communication, teamwork, and professional development.
Gain exposure to cutting-edge data management tools and methodologies.
Work in a flexible, hybrid environment that promotes work-life balance.
Access ongoing career development opportunities, including mentorship and training.
Contribute to meaningful, impactful projects that drive business insights and growth.

Flexible, hibryd working method (4 days from home and 1 day from Magyar Telekom HQ)

Lódi-Venczel Dorottya
Recruitment Specialist
Kérdezz a LinkedIn-en

Érdekel? Vágj bele!

JELENTKEZEM