Build and maintain efficient, scalable data pipelines to collect, process, and store data from various sources.
Ensure data quality, integrity, and availability.
Design and implement database schemas and structures that enable optimal storage, querying, and processing of data.
Develop, manage, and optimize ETL processes to extract, transform, and load data from various sources into target systems.
Ensure timely and accurate data delivery.
Use Snowflake and Azure Data Factory to manage cloud-based data warehousing and data integration processes.
Ensure efficient data storage and accessibility.
Integrate IoT data using Azure IoT Hub to enable real-time data processing and analysis.
Implement and manage data workflows with Apache Airflow to automate and orchestrate ETL processes and other data-related tasks.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Minimum of 5 years' experience as a Data Engineer or in a comparable role.
Solid experience with data pipeline tools and techniques.
Strong expertise in Snowflake and Azure Data Factory.
Experience integrating IoT data via Azure IoT Hub.
Hands-on experience with Apache Airflow for workflow automation.
Expert knowledge of ETL processes and related tools.
Strong SQL skills and experience with relational databases.
Familiarity with data modeling principles and best practices.
Experience with data visualization tools, especially Microsoft Power BI.
Knowledge of cloud computing concepts, particularly Microsoft Azure.
Experience with additional cloud platforms such as AWS or Google Cloud.
Familiarity with big data technologies like Hadoop, Spark, or Kafka.
Experience with Python or other scripting languages.
Knowledge of data governance and data quality frameworks.
Very good German and English language skills required.

Benefits

Permanent full-time position (37.5 hours/week for full-time)
Flexible working hours
Hybrid remote work solution (2–4 days remote per week possible)
30+ days of vacation
Internal and external training opportunities
Vacation pay, bonus payments, company pension (BAV) & capital-forming benefits (VWL)
On-site gym, canteen with meal subsidies, commuting allowance, company bike (JobRad), employee & team events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesETL processesSQLdata modelingdata visualizationPythonHadoopSparkKafkadata governance

Soft Skills

data qualitydata integritydata availabilitytimely data deliveryworkflow automation