Dein persönlicher KI-Karriere-Agent
Working Student Product Customer Engagement - Data(m/w/x)
Developing and maintaining data pipelines for retail media, with SQL queries in BigQuery. Google BigQuery hands-on experience required. Flexible working hours, 50/50 mobile work.
Anforderungen
- Master’s program enrollment (Computer Science, Data Engineering, Data Science, Information Systems)
- Strong SQL skills (joins, aggregations, window functions)
- Good Python knowledge (pandas data handling)
- Hands-on Google BigQuery experience
- Querying large datasets
- Basic partitioning and performance optimization understanding
- Basic data structures and data modeling understanding
- GCP (Google Cloud Platform) ecosystem exposure
- Basic ETL/ELT pipelines understanding
- Familiarity with Airflow, dbt, or similar tools
- Initial AI/ML workflows experience
- Data preparation and feature engineering
- Awareness of analytics or event-based data
- Strong analytical and structured thinking
- Curiosity and willingness to learn
- Independent work with guidance ability
- Fluent English (German is a plus)
Aufgaben
- Support data pipeline development and maintenance
- Write, optimize, and maintain SQL queries in BigQuery
- Build and manage datasets in Google BigQuery
- Execute data validation, quality checks, and reconciliation
- Prepare and structure datasets for AI/ML use cases
- Collaborate with Data Engineers and Data Scientists on feature preparation
- Contribute to data modeling and transformation
- Document processes and establish data standards
- Support data platform and migration initiatives
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- SQL
- Python
- pandas
- Google BigQuery
- GCP
- Google Cloud Platform
- ETL
- ELT
- Airflow
- dbt
- AI
- ML
Benefits
Flexibles Arbeiten
- Flexible working time models
- Mobile work (50/50)
Mitarbeiterrabatte
- Employee discount
Gesundheits- & Fitnessangebote
- Fitness collaborations
Karriere- und Weiterentwicklung
- Takeover opportunities
Sonstige Vorteile
- Experience electronics at workplace
- Home
- Jobs in Deutschland
- Ingolstadt
- Working Student Product Customer Engagement - DataWorking Student Product Customer Engagement - Data bei Me...
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- Home
- Jobs in Deutschland
- Ingolstadt
- Working Student Product Customer Engagement - DataWorking Student Product Customer Engagement - Data bei Me...
Working Student Product Customer Engagement - Data(m/w/x)
Developing and maintaining data pipelines for retail media, with SQL queries in BigQuery. Google BigQuery hands-on experience required. Flexible working hours, 50/50 mobile work.
Anforderungen
- Master’s program enrollment (Computer Science, Data Engineering, Data Science, Information Systems)
- Strong SQL skills (joins, aggregations, window functions)
- Good Python knowledge (pandas data handling)
- Hands-on Google BigQuery experience
- Querying large datasets
- Basic partitioning and performance optimization understanding
- Basic data structures and data modeling understanding
- GCP (Google Cloud Platform) ecosystem exposure
- Basic ETL/ELT pipelines understanding
- Familiarity with Airflow, dbt, or similar tools
- Initial AI/ML workflows experience
- Data preparation and feature engineering
- Awareness of analytics or event-based data
- Strong analytical and structured thinking
- Curiosity and willingness to learn
- Independent work with guidance ability
- Fluent English (German is a plus)
Aufgaben
- Support data pipeline development and maintenance
- Write, optimize, and maintain SQL queries in BigQuery
- Build and manage datasets in Google BigQuery
- Execute data validation, quality checks, and reconciliation
- Prepare and structure datasets for AI/ML use cases
- Collaborate with Data Engineers and Data Scientists on feature preparation
- Contribute to data modeling and transformation
- Document processes and establish data standards
- Support data platform and migration initiatives
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- SQL
- Python
- pandas
- Google BigQuery
- GCP
- Google Cloud Platform
- ETL
- ELT
- Airflow
- dbt
- AI
- ML
Benefits
Flexibles Arbeiten
- Flexible working time models
- Mobile work (50/50)
Mitarbeiterrabatte
- Employee discount
Gesundheits- & Fitnessangebote
- Fitness collaborations
Karriere- und Weiterentwicklung
- Takeover opportunities
Sonstige Vorteile
- Experience electronics at workplace
Über das Unternehmen
MediaMarktSaturn Retail Group
Branche
Retail
Beschreibung
MediaMarkt ist der ungeschlagene Marktführer im Consumer Electronics Markt in Österreich mit über 50 Standorten und einem Onlineshop.
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