Senior Data Engineer H/F

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing data pipelines and architectures. Your main responsibilities include:

• Developing and maintaining scalable data processing pipelines.
• Designing robust data architectures to support analytics and machine learning initiatives.
• Ensuring data quality, reliability, and security across all systems.
• Collaborating with data scientists, analysts, and software engineers to enable efficient data access.
• Implementing and optimizing cloud-based data infrastructure.
• Staying up to date with the latest data engineering trends and technologies.

Are you passionate about big data and eager to work on high-impact projects? Do you want to be part of a dynamic team that values innovation, scalability, and efficiency? This position is for you!, Bachelor's/Master's degree in Computer Science, Data Engineering, or equivalent.

• Minimum of 5 years of experience in data engineering.
• Strong experience with big data technologies (Spark, Hadoop, Kafka, etc.).
• Proficiency in SQL and programming languages such as Python or Scala.
• Experience with cloud platforms (AWS, GCP, Azure) and data warehousing solutions.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong understanding of ETL processes and data modeling best practices.