Data Engineer w/m/d - Data & AI Platform

We are seeking a Data Engineer to join our team. The successful candidate will be responsible for designing and implementing scalable data platforms, developing robust data pipelines, and ensuring that data is reliable, performant, and secure for analytics and AI applications.

Requirements

• At least 3 years of experience in the Data Engineering field, including practical knowledge with a major cloud provider (e.g. Azure, AWS, RedHat Openshift)
• Comprehensive knowledge in CI/CD and Kubernetes
• Practical experience in configuring data pipelines: data streaming, data integration, data transformation, data preparation, and quality assurance
• Solid database knowledge in SQL and NoSQL databases (e.g. Spark, MS SQL, PostgreSQL, MongoDB, Vector DBs like Elastic, Chroma)
• Very good knowledge in Python and common data formats (JSON, Parquet, Avro)
• Basic knowledge in data protection, compliance, and data governance, including the use of tools for data catalog and data lineage (e.g. IBM Knowledge Catalog, Colibra)
• Very good German and good English language skills
• Structured, autonomous, and solution-oriented way of working, with a passion for teamwork

Benefits

• Sharing knowledge - legendary technical events, exciting expert talks, or developer days with clever minds from all consultancy teams
• Professional development - investing in you: internal or external training, manufacturer certifications, career development, conferences, mentoring, or coaching, etc.
• Health - full support from life coaching to health training
• Mobile working & flexible working hours - trust is good. Period.
• Family - what matters to you matters to us! We offer marriage and birth assistance, support from the family service, and more
• Mobility - convenient travel with our company car program. Of course, also with the e-car.