(Senior) Data Engineer (m/f/d)

We are looking for a Senior Data Engineer to initiate, manage and automate our routines to gather (un)structured data from several different data sources and load it into our cloud-based Data Warehouse.

You will work within our Business Intelligence team, which consists of Data Engineers, Data Scientist and Data Analysts. Furthermore, you will work closely with other IT departments to ensure the operation of our data warehouse. Our Data Engineers work with the latest technologies to build our Data Warehouse as the single point of truth for the company.

If you are passionate about data engineering and eager to work on cutting-edge data solutions, we would love to hear from you.

Candidate should be based in Munich or willing to relocate to Munich as we follow a hybrid working model (2-3 days in office per week)

About your Job

We are seeking a talented and experienced (Senior) Data Engineer to join our dynamic team in Munich, Germany. In this role, you will be responsible for designing, implementing, and maintaining robust data infrastructure to support our organization's data-driven decision-making processes.

Design and develop scalable data pipelines to extract, transform, and load data from various sources
Optimize data storage and retrieval systems to ensure efficient data processing and analysis
Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions
Implement and maintain data quality controls and monitoring systems
Develop and maintain documentation for data processes and architectures
Continuously evaluate and implement new technologies to improve data engineering capabilities
Participate in cross-functional projects to integrate data systems across the organization
Ensure compliance with data privacy and security regulations in all data engineering processes

About your Profile

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
5+ years of experience in data engineering or a related role
Strong proficiency in SQL and experience with NoSQL databases
Expertise in big data technologies such as Hadoop and Spark
Advanced programming skills in Python, Java, or Scala
In-depth knowledge of data warehousing concepts and ETL processes
Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering tasks
Proven ability to design and implement efficient data pipelines and architectures
Experience with data visualization tools and techniques
Strong understanding of data modeling and database design principles
Familiarity with data privacy and security regulations, particularly GDPR
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to work effectively in a team environment
Relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are a plus