As a Data Engineer (m/f/d) at PAUL, you will work on the digital transformation of building technology. Together, we explore the possibilities of expanding tomorrow's infrastructure in an energy- and cost-efficient way. In this role you will be responsible for preparing data sets for your data science colleagues and actively co-design the architecture of our data-driven service landscape. You support and advise colleagues on data structuring issues and fully accompany the machine learning lifecycle.

Your Technical Skillset:

• Do you have at best, but not mandatory, a successfully completed degree in computer science, information technology, mathematics or a similar education?
• Have you already been able to successfully apply your skills in the data science/engineering area in practice?
• Do you have profound knowledge in Apache Kafka and Stream Processing?
• Are you equally familiar with SQL, NOSQL, Timeseries databases?
• You have experience with Java and Python technologies?

Non-Technical Skills:

• Do you bring creative drive, a sense of responsibility, a strong hands-on mentality as well as very good German and English skills?
• Are you now looking for a new role in an innovation-driven company where you will quickly take on responsibility?
• In everything you do, you think outside the box and always stay up to date professionally and technologically?

What you can expect:

• You can expect an inspiring, dynamic, collegial and creative working atmosphere with short decision-making paths.
• An above-average salary.
• A permanent employment contract.
• Individual further training.
• 30 days of vacation per calendar year.
• Company health care and company pension plan as well as company fitness.
• Premium equipment and air-conditioned offices.
• Optional job ticket.
• Free parking, drinks, fruit and joint company events.