Full Time Data Engineer

Data Engineer (m/f/o)
IT
Full/part time
We’re building out our data and machine learning infrastructure and forming a new data platform team. This role is focused on designing and building high-quality data infrastructure solutions as part of the central ML/data team using a hub and spoke approach, along with higher-level architectural work. You’ll be reporting to the Director of Data/AI.

Employing more than 1,000 staff, the family-owned company develops products and services in digital and other media for the medical and chemistry sectors. The products and services are based on the high-quality content of Thieme's 200 journals and 4,400 books. Medical students, physicians, nurses, allied health specialists, hospitals, health insurance companies and others interested in health and healthcare are at the focus of Thieme's activities. Department: IT
Working hours: full-time (40h/week)

Designing, building and operating data and ML solutions, including data ingestion, processing, storage, and serving layers.

• Collaborate with cross-functional teams to define data standards, governance policies, and best practices.
• Mentoring and guiding junior data engineers, empowering data analysts and engineers, and fostering a culture of innovation and continuous improvement.
• Drive innovation and continuous improvement of our data infrastructure with a focus on experience for data scientists and analysts, security, efficiency and costs.
• Contribute to the development of our data strategy and roadmap.

You have at least a few years of experience as an individual contributor and most of them in data engineering.
You understand requirements (performance, data, feature) between different systems and can translate this into technical designs. You have seen different cloud data stacks and are deeply familiar with at least two: AWS, GCP, Azure, Spark and/or Databricks. You have a well-rounded infrastructure knowledge beyond pure data engineering and are familiar with IaC, CI/CD, and observability. You have built and maintained at least one data/ML platform over a long period of time. You’re comfortable with traditional data warehouse architecture, concepts like data meshes and have a well rounded understanding of BI related data challenges.
You bring a clear, audience-sensitive style to your verbal and written communication in German and English. Note that your stakeholders may be German, so a B2 level is required.

With the option of flexitime (40 hours/week for full-time employees) and mobile working within Germany, you can organise your own individual way of working.

• Benefit from individualised Thieme.ACADEMY offers that promote your strengths and drive your personal development.