Data Engineer at BSS Poland
Poznań, wielkopolskie, Poland -
Full Time


Start Date

Immediate

Expiry Date

25 Apr, 25

Salary

0.0

Posted On

26 Jan, 25

Experience

4 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

YOUR PROFILE

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

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 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:

  • 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
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