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Senior Data Quality Engineer(m/w/x)
Co-owning data infrastructure, leading pipeline operations, and guaranteeing production data correctness. 5+ years of data engineering experience with ETL frameworks and SQL/Python required. Idea realization and strengths development opportunities.
Requirements
- University degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems, or related field
- 5+ years of experience in data engineering, data quality, or pipeline automation
- Proven experience with ETL frameworks (e.g., Airflow, Prefect, dbt)
- Strong knowledge of SQL, Python, and data warehouse concepts (e.g., BigQuery, Snowflake)
- Experience with CI/CD, Docker, and cloud-based deployment (e.g., GCP, AWS)
- Solid understanding of data validation, monitoring, and alerting frameworks
- Analytical mindset with strong attention to detail
- Strong communication skills and team-oriented attitude
- Self-driven, reliable, and able to manage complex data operations independently
Tasks
- Co-own TV-Insight’s data infrastructure
- Ensure data accuracy, timeliness, and efficient processing
- Lead data pipeline operations and monitoring
- Guarantee data availability and correctness in production
- Implement robust scheduling, monitoring, and alerting solutions
- Automate ETL workflows and manual maintenance processes
- Develop CI/CD-based automation for data pipelines and deployments
- Introduce standardized data quality checks and reconciliation frameworks
- Define and enforce data validation rules and performance metrics
- Identify, analyze, and resolve data inconsistencies
- Drive continuous improvements in data integrity and completeness
- Partner with data scientists and analysts for data reliability
- Contribute to internal documentation and knowledge sharing
- Evolve data platform towards self-service capabilities and high scalability
- Participate in architecture design for future data products
- Act as a subject-matter expert for pipeline automation and data observability
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Airflow
- Prefect
- dbt
- SQL
- Python
- BigQuery
- Snowflake
- CI/CD
- Docker
- GCP
- AWS
Benefits
Competitive Pay
- Market-oriented salaries
Other Benefits
- Diversity support
- Opportunity seizing
Career Advancement
- Potential and strengths development
Purpose-Driven Work
- Idea realization
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Senior Data Quality Engineer(m/w/x)
Co-owning data infrastructure, leading pipeline operations, and guaranteeing production data correctness. 5+ years of data engineering experience with ETL frameworks and SQL/Python required. Idea realization and strengths development opportunities.
Requirements
- University degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems, or related field
- 5+ years of experience in data engineering, data quality, or pipeline automation
- Proven experience with ETL frameworks (e.g., Airflow, Prefect, dbt)
- Strong knowledge of SQL, Python, and data warehouse concepts (e.g., BigQuery, Snowflake)
- Experience with CI/CD, Docker, and cloud-based deployment (e.g., GCP, AWS)
- Solid understanding of data validation, monitoring, and alerting frameworks
- Analytical mindset with strong attention to detail
- Strong communication skills and team-oriented attitude
- Self-driven, reliable, and able to manage complex data operations independently
Tasks
- Co-own TV-Insight’s data infrastructure
- Ensure data accuracy, timeliness, and efficient processing
- Lead data pipeline operations and monitoring
- Guarantee data availability and correctness in production
- Implement robust scheduling, monitoring, and alerting solutions
- Automate ETL workflows and manual maintenance processes
- Develop CI/CD-based automation for data pipelines and deployments
- Introduce standardized data quality checks and reconciliation frameworks
- Define and enforce data validation rules and performance metrics
- Identify, analyze, and resolve data inconsistencies
- Drive continuous improvements in data integrity and completeness
- Partner with data scientists and analysts for data reliability
- Contribute to internal documentation and knowledge sharing
- Evolve data platform towards self-service capabilities and high scalability
- Participate in architecture design for future data products
- Act as a subject-matter expert for pipeline automation and data observability
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Airflow
- Prefect
- dbt
- SQL
- Python
- BigQuery
- Snowflake
- CI/CD
- Docker
- GCP
- AWS
Benefits
Competitive Pay
- Market-oriented salaries
Other Benefits
- Diversity support
- Opportunity seizing
Career Advancement
- Potential and strengths development
Purpose-Driven Work
- Idea realization
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Red Bull
Industry
Media
Description
The company is a global leader in the food and beverages industry, known for its energy drinks and commitment to innovation.
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