Data Engineer (all genders)

at  Beiersdorf Shared Services

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live a culture of inclusion, respect and trust that is strongly aligned with our values CARE, COURAGE, SIMPLICITY and TRUST. We embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

YOUR PROFILE

What skills we are looking for:

• Completed studies of Business informatics / informatics or related ones
• > 4 years professional experience
• Strong knowledge of SQL databases. NoSQL is a plus
• Experience with Azure tech stack and Python coding
• Very good analytical and conceptual skills as well as high self-initiative
• An understanding of the different requirements that can arise in a moving data environment

You fit into our team with the following characteristics:

• Very good ability to work in functional and cross functional) teams
• Fluent in written and spoken English. German is a plus
• Passion for BI, Analytics and data
• Open and interested in new technologies within Data & Analytics area

We are Beiersdorf’s Data and Analytics team and establish a global data platform which provides high-quality and trustable data for standard reporting / dashboarding, self-service and data science.
You want to join us on our journey and work with different Azure and SAP data warehouse technologies? Then we can’t wait to get to know you!
As a Data Engineer you concept, design, implement and support data pipelines and databases within our Azure Data & Analytics platform.
You will always find the balance between individual requirements and stable solutions. You are open to new technologies and see them as an opportunity to enable even deeper insights into data. You will work closely with our project leads, reporting consultants, data scientist and cloud engineers.
We work together on global projects in mixed project teams. It is important to us that everyone can contribute their experiences and concerns to discussions.

Your main tasks are:

• Design and develop data pipelines within Azure and Google tech stack
• Code advanced data processing solutions within Azure tech stack
• Concept and implement relational and NoSQL database solutions within Azure
• Development/code management using Azure DevOps
• Manage our data lake which stores structured, semi-structured data and unstructured data