Data and Analytics Engineer

Role Overview

As a Data and Analytics Engineer, you will accompany the entire lifecycle of modern data solutions from conception to development and deployment to productive operation. You will collaborate with departments to develop scalable technical and analytical solutions from functional requirements. You will also support the successful implementation of data-driven projects with data analysts, data scientists, data engineers, central BI teams, and external partners.

What You Will Do

You will drive the continuous improvement of data quality and transparent data structures forward. You will assess opportunities for automation and develop suitable solutions using modern technologies and AI. You will also ensure a reliable operation of data and analytics applications.

Why It Might Be a Fit

You will have the opportunity to work on an equal footing with over 1,900 colleagues. You will be part of a team that uses opportunities, demonstrates initiative, takes responsibility, and works on an equal footing. You will have the chance to shape processes, standards, and best practices and support a sustainable data landscape.

Requirements

• Completed studies in Computer Science, Business Information Systems, Data Science, or a comparable field of study
• Several years of professional experience as an Analytics Engineer, Data Engineer, Data Architect, or in a comparable technical data role
• Experience in developing scalable data pipelines and analytical data models
• Familiarity with Snowflake, dbt, and SQL, as well as good programming skills in Python
• Willingness to acquire knowledge in web technologies such as Angular, TypeScript, or Next.js
• Experience in data governance, data lineage, and ensuring high data quality
• Interest in automation, AI, and the continuous further development of data and analytics solutions
• Team player with a positive mindset and an eye for data and facts
• Very good German language skills and good English language skills

Benefits

• Flexible working options
• 30 days of vacation and additionally on December 24th and 31st free
• Home office equipment including ergonomic office furniture
• Own academy with a steadily growing training offer
• Occupational pension
• Worldwide 24/7 accident insurance
• Employee discounts and corporate benefits offers
• Flexible benefit (public transport subsidy, job bike, Wellhub, kindergarten subsidy, or occupational health insurance) including employer subsidy

Tagged as: Data Analysis, Python, Snowflake, SQL