Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Wiesbaden
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop modern data platforms, integrate heterogeneous data sources, and optimize ETL pipelines to ensure stable data architecture in cloud environments.
Job Technologies
Your role in the team
- Participation in client projects for the implementation and further development of modern data platforms.
- Architecture design and implementation of scalable data platforms in cloud and hybrid environments.
- Design, development, and operation of Data Warehouse, Data Lake, and Lakehouse architectures.
- Development, orchestration, and optimization of ETL/ELT pipelines as well as data integration processes.
- Integration, harmonization, and processing of heterogeneous data sources (e.g., ERP, CRM, APIs, streaming).
- Data modeling according to established standards (Star Schema, Data Vault, 3NF) including business mapping and documentation.
- Implementation of KPI logic as well as the development and integration of reporting and dashboard solutions.
- Ensuring data quality, performance, monitoring, and stability of productive data pipelines.
- Support in the implementation of data governance, security, and authorization concepts.
- Technical coordination with other departments and decision-makers.
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Our expectations of you
Education
- Successfully completed university studies or equivalent training and at least 3-5 years of professional experience in implementing data solutions in the fields of Data Engineering, Analytics, BI, or Data Architecture.
Qualifications
- Very good knowledge of MS Azure BI Stack, such as Data Factory, Databricks, MS Fabric.
- Confident handling of SQL for data analysis, transformation, and modeling.
- In-depth expertise in the design and implementation of data models as well as performant data structures and data integration (Airflow, Spark, Kafka).
- Ideally, initial experience in the DevOps environment, e.g., CI/CD, Git, or IaC.
- Communicative and open personality.
- Professional demeanor and enjoyment in working with clients.
- Customer- and solution-oriented working style.
- Fluent German and very good English skills.
Experience
- Extensive hands-on experience with reporting tools such as Power BI or Tableau.
- Practical experience in developing data-driven processes with Python.
- Experience in deploying modern cloud data platforms such as Azure, AWS, Google Cloud, Snowflake, and knowledge of technical architecture concepts.
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Benefits
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This is your employer
KA RESOURCES
KA Resources is an internationally positioned recruitment agency that advises employers and employees in all areas of IT staffing. The company specializes in the specific needs of its clients, offering new perspectives and development opportunities.
Description
- Company Type
- Recruiting Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Recruitment Agency
Data Engineer
- Location
- Wiesbaden
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
