Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 60.000 to 78.000€ Gross/Year
- Location
- Wuppertal
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop data platforms within the Microsoft ecosystem, create ETL pipelines and data models using Python, SQL, and Azure services, and analyze documentation for modern AI applications.
Job Technologies
Your role in the team
- You collaborate with our clients on the design, development, and maintenance of data platforms — from data acquisition from the source to delivery for users.
- You develop and design reliable, user-friendly data platforms within a Microsoft ecosystem and create efficient data pipelines using Azure Data Factory, Azure Databricks, and/or Microsoft Fabric.
- You are responsible for creating high-performance data models using Python, SQL, PySpark, or SparkSQL (ranging from dimensional modeling to the second and third normal forms).
- You build and operate preprocessing and ETL pipelines for structured and unstructured data, ensuring data quality, consistency, and traceability.
- You analyze existing documentation, legacy systems, and codebases, and prepare them in a structured manner for modern data and AI applications.
- You work with Knowledge Graphs, vector databases, and embeddings to implement semantic search and AI use cases.
- You are responsible for managing customer environments with Azure DevOps and are in charge of orchestration, security, and deployment pipelines.
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Our expectations of you
Qualifications
- You are enthusiastic about the latest developments in Data & AI and enjoy experimenting with new technologies.
- You know how to efficiently process large volumes of data and are familiar with Python, SQL, PySpark, and SparkSQL.
- You have very strong communication skills in German and English to interact effectively with team members, stakeholders, and clients.
Experience
- You have relevant professional experience in a similar role in the field of Data Engineering and are familiar with Azure Data Factory, Azure Foundry, Azure Synapse Analytics, and/or Azure Databricks.
- You have experience in client consulting, project management, and stakeholder management, and work in a structured and solution-oriented manner.
- Ideally, you have experience in processing and structuring documents, as well as initial exposure to NLP, Knowledge Graphs, or Vector Databases.
- You bring agile work experience (e.g., Scrum), DevOps skills, and experience with tools such as Azure DevOps Boards or JIRA as a plus.
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What we offer
- The annual salary ranges from €60,000 to €78,000 (gross, full-time), depending on experience.
- The position arises due to increasing project demands in a highly project-driven environment with a focus on AI, modern data platforms, and enterprise clients.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Macaw Germany Cologne Gmbh
Macaw Germany Cologne GmbH is an agency that specializes in the digital transformation of companies. It supports its clients with digital strategies, technological consulting, and practical services in the development of their digital business models. The agency operates across various industries and offers solutions in the areas of data analytics, cloud, and AI technologies.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Salary
- 60.000 to 78.000€ Gross/Year
- Location
- Wuppertal
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
