Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines for integrating complex ERP data structures, build a Data Lake infrastructure on AWS, and implement resilient workflows for reliable data processing.
Job Technologies
Your role in the team
- As a Data Engineer, you build the data pipelines that enable our digital transformation. You are responsible for the clean, reliable, and scalable data flow between hundreds of ERP systems and our modern data architecture.
- Data Pipeline Engineering: You design and implement robust ETL/ELT pipelines that reliably extract, transform, and load data from several hundred ERP systems. You leverage modern orchestration tools to ensure smooth operation even with complex data flows. You build pipelines that are not only functional but also maintainable and scalable.
- Data Lake & Data Warehouse Architecture: You will build our Data Lake infrastructure on AWS from the ground up. This includes structuring data sensibly, implementing Data Governance concepts, and ensuring that data is optimally prepared for Analytics and Business Intelligence. You understand the difference between Raw, Staging, and Curated Data and implement corresponding architectures.
- Greenfield Project - Legacy System Integration: You are in the midst of an exciting Greenfield project: the integration of several hundred legacy ERP systems. This is not a standard integration – it involves complex data structures, different formats, and the challenge of creating a consistent data model from heterogeneous sources.
- Workflow Orchestration & Reliability: You implement resilient workflows for time-critical data processing. You rely on modern orchestration patterns and ensure that pipelines continue to run or restart in a controlled manner even in case of errors. You build monitoring and alerting systems to detect issues before they lead to actual outages.
- Collaboration & Development: You work closely with our Staff Engineer, the Product Owners, and the approximately 10-member Dev team. In doing so, you learn from experienced colleagues and simultaneously contribute your own ideas. You grow with the challenges and continuously develop yourself.
- Data Quality & Documentation: You implement Data Quality Checks and ensure that poor data does not enter our systems in the first place. You document data flows and transformation logic so that others understand what happens to the data.
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Our expectations of you
Qualifications
- Good Python skills for data processing and pipeline development
- Basic knowledge of Infrastructure as Code (Terraform or CDK)
- Understanding of data modeling and solid SQL skills
- Knowledge in the integration of legacy ERP systems
- Container knowledge (Docker, ECS)
- Monitoring with Grafana
- Interest in Healthcare or E-Commerce
- AWS Certifications
Experience
- At least 3 years of experience as a Data Engineer or in similar roles
- Practical experience with ETL/ELT pipelines and Data Lakes
- Experience with cloud platforms, ideally AWS (S3, Glue, Athena, RDS, etc.)
- Experience with Git and CI/CD
- Experience with Temporal or similar workflow orchestration frameworks (Airflow, Prefect, Dagster)
- Experience with streaming technologies (Kafka, Kinesis)
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What we offer
- Hybrid model: 2 days per week in the office in Cologne, 3 days flexible work from anywhere you want
- Greenfield project: You will build our modern data architecture from scratch – no legacy code that you need to understand first.
- Real challenge: Integration of several hundred ERP systems - complex, but also extremely educational
- Modern tech stack: AWS, Python, Terraform, modern Data Engineering tools
- Mentoring & Growth: You work with experienced engineers and continue to develop.
- Freedom to design: You contribute your ideas and shape our data infrastructure.
- Growing team: You will become part of a motivated ~10-person development team
- Impact: Your pipelines ensure that people can access essential resources more easily.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Sanitätshaus Aktuell AG
Sanitätshaus Aktuell AG is a renowned company in the healthcare sector, acting as the central hub for a nationwide group of medical supply stores. With over 35 years of experience, the company provides support to its franchise partners in areas such as rehabilitation technology and homecare services.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Data Engineer
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
