What makes us special

• Environment that cares about your well-being: flexible working hours, hybrid work model 70/30 and additional 2 days off per year for every employee
• Package of additional benefits: private medical care, multi-sport card
• Our employees can work from selected European Union countries for up to 30 calendar days a year
• A growing, agile and dynamic team that challenges established routines and helps transforming the Vaillant Group to a data informed business
• Constant learning opportunities for both technical and personal growth through a range of workshops, seminars, events, and e-learnings

What we achieve together

• You will be responsible for decisions and data infrastructure management that directly contributes to the cloud operation costs ranging up to 1,000k EUR per year
• Designing, building and maintaining infrastructure and programs for efficient extraction, transformation, loading, and serving of large data volumes from diverse sources (e.g., IoT, CRM, ERP, PLM, IIoT) using Cloud services, Spark technologies, and DataOps practices is Your asset
• You support the design, development, maintenance, and automation of data products on a data platform and contribute to data governance and security compliance
• Data quality and accuracy by designing, implementing validation and cleansing processes is important to You
• You collaborate with a team of data scientists and data engineers on advanced analytics of machine data (i.e. IoT/IIoT), business process-related data, and customer data as part of Vaillant Group’s digital service portfolio
• Effective communication with cross-functional colleagues up to the executive management level, propagating new ideas within the team, and serving as a mentor are Your high skill
• Agile methodologies are Your way of working and communicating with the team and stakeholders 

What makes us successful together

• You have a university degree in Computer Science or a related quantitative field, with a focus on Data Science or Data/ML Engineering
• At least 5 years of relevant experience in data analytics, particularly in a Big Data context is required
• Expertise in Python and SQL on Databricks platform with additional knowledge of programming languages such as Java, Scala
• You are a professional working with cloud services and related components, ideally within the MS Azure ecosystem and Databricks
• You work effectively in a team, act as a technical leader, showcase a high degree of initiative and motivation to thrive in an agile and interdisciplinary environment
• Fluency in English is needed