Data Engineer (w/m/d)
TÜV SÜD AG
About the role
About TÜV SÜD
Innovations bring profound changes and influence our lives in diverse ways. At TÜV SÜD, we are highly committed to being an important part of this development and progress. We are involved from the very beginning and accompany this process. We ensure a safe and sustainable future and create trust in new technologies. We advise, we inspect, we certify. For the safety of people and society, we challenge ourselves anew every day. We act out of conviction, shaping the world of tomorrow today – setting standards. We take the future into our hands. We are TÜV SÜD. Since 1866, TÜV SÜD has stood for safety, quality, and sustainability and is now an international service group with 30,000 employees worldwide. Independent and objective, TÜV SÜD ensures trust for consumers and companies.
Responsibilities
- Develop and maintain ETL/ELT pipelines for both structured and unstructured data
- Ensure the integrity, availability, and performance of data across ingestion and storage layers
- Collaborate with analysts and architects to translate business requirements into scalable data models
- Automate and monitor data workflows across cloud and hybrid environments
- Support data platform users and teams by troubleshooting and optimizing data pipelines and flows
Requirements
- Minimum 5 years of professional experience in a similar role
- Proficiency in at least one of the following technologies: SQL, Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Spark)
- Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
- Experience in data warehousing (design and implementation) and with data lake technologies
- Strong knowledge of data integration (ETL/ELT), data modeling, and real-time and/or batch data pipelines
- Ability to implement and support a reliable data infrastructure
- Strong collaboration and communication skills when working with technical and non-technical stakeholders
- Fluent English language skills
What We Offer
- Flexible working hours that allow you to adapt your work schedule to your personal needs.
- Special payments: In addition to a market-competitive salary, we offer attractive special payments such as a corporate success bonus or other performance-related salary components.
- Our company health management includes, among other things, the E-Gym Wellpass, which gives you access to a wide range of fitness and health offers, as well as a company pension scheme that helps you provide for your future.
- Learn more about our numerous other benefits at https://www.tuvsud.com/de-de/karriere/was-wir-bieten
Diversity & Inclusion
At TÜV S
Requirements
- Minimum 5 years of professional experience in a similar role
- Proficiency in at least one of the following technologies: SQL, Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Spark)
- Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
- Experience in data warehousing (design and implementation) and with data lake technologies
- Strong knowledge of data integration (ETL/ELT), data modeling, and real-time and/or batch data pipelines
- Ability to implement and support a reliable data infrastructure
- Strong collaboration and communication skills when working with technical and non-technical stakeholders
- Fluent English language skills
Responsibilities
- Develop and maintain ETL/ELT pipelines for both structured and unstructured data
- Ensure the integrity, availability, and performance of data across ingestion and storage layers
- Collaborate with analysts and architects to translate business requirements into scalable data models
- Automate and monitor data workflows across cloud and hybrid environments
- Support data platform users and teams by troubleshooting and optimizing data pipelines and flows
Benefits
Skills
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