Data Engineer

As a Data Engineer, you will make an impact by building and optimizing data pipelines and architectures to support analytics and business intelligence. You will be a valued member of the data team and work collaboratively with data scientists and analysts. In this role, you will:

• Develop and maintain scalable ETL processes and data pipelines.
• Integrate data from various sources into centralized data platforms.
• Ensure data quality, consistency, and reliability across systems.
• Collaborate with stakeholders to understand data requirements.
• Optimize data workflows for performance and cost efficiency.

Do you have experience in Spark?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Systems, or related field.

• Proficiency in SQL and experience with relational and NoSQL databases.
• Hands-on experience with big data technologies (Spark, Hadoop).
• Knowledge of data modeling and data warehousing concepts.
• Experience with Python or Java for data processing.

These will help you stand out

• Experience with cloud-based data services (AWS Redshift, Azure Synapse).
• Familiarity with streaming data technologies (Kafka, Flink).
• Understanding of data governance and security practices.
• Exposure to BI tools and reporting platforms.
• Strong analytical and troubleshooting skills.

Competitive salary, international environment, technology-driven organization, career development opportunities, wellbeing programs, plus:

• Health insurance allowance
• German language course reimbursement
• 25 paid vacation days