Data Engineer

Data Engineer

Job Objectives

• Requirements analysis and customer consulting for analytics topics.

• Identification, extraction, transformation and loading of data.

• Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.

• Modelling of data according to common methods for further processing.

• Testing and quality assurance of data.

• Use of source control and CI/CD processes.

• Analyse linking of data using SQL, statistics, and data science to generate new insights.

• Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.

• Provide data through file sharing or REST APIs.

• Creation of data architectures based on public cloud services.

• Collaboration in agile projects.

Qualifications / Experience

• Bachelor’s degree in computer science, Applied Mathematics, Engineering, or any other technology related field.

• Experience with Agile methodologies

• Experience with Enterprise technologies

• Experience with Product Oriented Teams

• Programming or Data Architecture related certification

Specific knowledge/ Skill

• Excellent communication skills

• Good customer service orientation

• Analytical, passionate and drives technology and product quality.

• Result-oriented thinking and action

• Has expertise in data modelling, data architectures for complex analytics architectures and requirements analysis.

• Independently educates oneself further and derives necessary changes for the team and the project.

• Has expert knowledge in the implementation and definition of reports and dashboards.

Responsibility and Scope for decision-making:

• Independently advises clients on analytics systems and supports the development of data-driven decisions.

• Independently acquires new projects and products.

• Builds project and product teams.

• Supports the further development of team members.

• Delegates development tasks.

• Controls large or complex analytics projects.

• Connects and shares his/her knowledge within the company.

Technical:

• SQL/noSQL, Python or R, Microsoft Power BI, Cloud Computing and Data Architectures