Data Engineer (f/m/d) - #2213982
TÜV SÜD
Date: vor 7 Stunden
Stadt: München
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag

Seit 1866 gilt unsere Leidenschaft der Technik und der Sicherheit. Innovationen beeinflussen unser Leben in vielfältiger Weise. Für die Sicherheit von Menschen und der Gesellschaft setzen wir uns jeden Tag aufs Neue ein und schaffen Vertrauen in neue Technologien. Wir sind Teil des Fortschritts. Wir beraten, wir prüfen, wir zertifizieren. Wir handeln aus Überzeugung, gestalten schon heute die Welt von morgen – setzen Zeichen. Wir nehmen die Zukunft in die Hand. Wir sind TÜV SÜD – 25.000 Mitarbeiter an weltweit 1.000 Standorten.
Tasks/Aufgaben
Join us as Data Engineer and build scalable and secure data pipelines and processing workflows that enable efficient data movement and analytics across TÜV SÜD s platform landscape
Develop and maintain ETL/ELT pipelines for structured and unstructured data
Ensure data integrity, availability, and performance across ingestion and storage layers
Collaborate with analysts and architects to translate business needs into data models
Automate and monitor data workflows across cloud and hybrid environments
Support data platform users by troubleshooting and optimizing data flows
Qualifications/Qualifikationen
Minimum 5 years experience in a similar role
Proficiency in one of the following: SQL, Python, Java, Scala and data processing frameworks (e.g., Spark)
Experience with cloud data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
Experience in data warehousing (design and implementation) and with data lake based technologies
Skills about data integration (ETL/ELT), data modeling, and working with real-time and/or batch data pipelines
Ability to implement and support a reliable data infrastructure
Strong English communication and collaboration skills across technical and non-technical stakeholders
Further Information
We offer an environment where :
You take full accountability for your ideas and bring them to reality
You can act as an intrapreneur in a well established company
Diversity is at the core of our way of working
You find a wide range of internal and external training opportunities for your professional and personal development
Flexible working hours and mobile work is possible within the framework of our company regulation
144969
Tasks/Aufgaben
Join us as Data Engineer and build scalable and secure data pipelines and processing workflows that enable efficient data movement and analytics across TÜV SÜD s platform landscape
Develop and maintain ETL/ELT pipelines for structured and unstructured data
Ensure data integrity, availability, and performance across ingestion and storage layers
Collaborate with analysts and architects to translate business needs into data models
Automate and monitor data workflows across cloud and hybrid environments
Support data platform users by troubleshooting and optimizing data flows
Qualifications/Qualifikationen
Minimum 5 years experience in a similar role
Proficiency in one of the following: SQL, Python, Java, Scala and data processing frameworks (e.g., Spark)
Experience with cloud data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
Experience in data warehousing (design and implementation) and with data lake based technologies
Skills about data integration (ETL/ELT), data modeling, and working with real-time and/or batch data pipelines
Ability to implement and support a reliable data infrastructure
Strong English communication and collaboration skills across technical and non-technical stakeholders
Further Information
We offer an environment where :
You take full accountability for your ideas and bring them to reality
You can act as an intrapreneur in a well established company
Diversity is at the core of our way of working
You find a wide range of internal and external training opportunities for your professional and personal development
Flexible working hours and mobile work is possible within the framework of our company regulation
144969
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