Data Engineer (Power BI, Data Engineering, SQL)

Job Description

Implementation of product requirements in a software system based on one or more technologies or products.

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

Education in IT or related industry

Minimum of 3 years’ working experience in a related field is required.

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

Experience

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

Databricks

Extollo

Data Engineering and Data Warehousing

Cloud Computing and Data Architectures