Data Engineer Manager (all genders)
Hamburg, DE
Beiersdorf
We care for skin, we care for people and we care beyond skin. That is what makes us unique.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 Tasks
At Beiersdorf, we are committed to enabling digital transformation across all business functions. We are Beiersdorf’s Data team and establish a global data platform which provides high-quality and trustable data for different cases like standard reporting / dashboarding, self-service, data science and finally data as a product.
Our team consists of passionate and experienced data engineers from various professional backgrounds. As a team, we own Beiersdorf's data models and pipelines. We are part of Beiersdorf’s data organization.
You are a highly motivated and experienced “Data Engineer Manager” and want to join us on our digital journey? You are interested to work with different technologies like Azure, Google and SAP data warehouse? Then we can’t wait to get to know you!
Your Tasks
As a Data Engineer Manager you are leading the development, implementation and operation of data models and data pipelines within our “one data platform”.
You are working closely together with our internal partners and stakeholders including the teams of data architecture & Governance and Reporting & Planning and other IT units. 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.
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:
- Leading the design, development and operation of data pipelines and data models
- Managing a team of data engineers
- Further develop our data technologies
- Working closely together with other internal IT teams and stakeholder
- Concept, design, implement and support data pipelines and databases
Your Profile
What skills we are looking for:
- Completed studies of Computer Science, Business informatics, Informatics or a related field
- 5+ years professional experience in data engineering and setting-up data platforms
- Strong knowledge of data technologies like Azure data lake, Databricks, SAP BW, HANA database
- An understanding of the different requirements that can arise in a moving data environment
- Experience in successfully leading teams and people
- Very good analytical and conceptual skills as well as a self-initiative mind set
- Strong communication and interpersonal skills
- Fluent in written and spoken English. German is a plus
- Passion for data and analytics and beeing interested in new technologies within Data & Analytics area
We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants – regardless of race, gender, age, religion and beliefs, sexual orientation and gender identity, disability, cultural, ethnic or national origins. We would therefore kindly ask you to include only information and data in your documents which are relevant for the assessment of your application (e.g. curriculum vitae, salary expectations, relevant references and certificates) and encourage you to upload your CV without a picture.
If you have any questions, please contact our recruiter […] every […] between […] and […] am via the telephone number […].
Have a look at our benefits: What we offer – Our Benefits | Beiersdorf
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Computer Science Databricks Data pipelines Data warehouse Engineering Pipelines
Perks/benefits: Career development
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