Job
- Level
- Experienced
- Location
- Munich
- Working Model
- Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
You design and implement data pipelines for ingestion, ETL/ELT, and develop data models and storage solutions to ensure data quality and access for analytics and ML.
Job Technologies
Your role in the team
- You design and implement scalable data pipelines for ingestion, ETL/ELT, as well as batch and streaming use cases.
- You develop and maintain data models, schemas, catalogs, and feature stores for reliable and discoverable data access.
- You ensure data quality, validation, lineage, and observability for high-performance real-time sources.
- You integrate and operate storage solutions such as object stores, SQL/NoSQL, and vector databases, and optimize access patterns for product systems.
- You ensure reproducibility and metadata tracking in ML workflows through experiment and feature lineage tracking.
- You automate CI/CD, monitoring, alerting, and capacity planning for pipelines, ensuring operational continuity.
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Our expectations of you
Qualifications
- You demonstrate strong teamwork, presentation skills, solution-oriented thinking, analytical skills, and independence, working closely with AI/ML and MLOps teams with a good understanding of the product.
- Excellent German language skills and very good English language skills, both spoken and written, complete your profile.
Experience
- You have several years of practical experience in building productive data pipelines and platforms for analytics or ML, including real-time and streaming scenarios.
- You possess strong programming and scripting skills in Python and SQL, as well as experience with orchestration tools such as Airflow, Prefect, or Dagster.
- You have experience with cloud storage and processing solutions (Azure, AWS, or GCP), containerization and orchestration, as well as data processing frameworks like Kafka, Flink, or Spark.
- You are practically familiar with data modeling, metadata and catalog systems, feature stores, as well as experiment and metadata tracking, and have experience in operating and integrating object storage, relational and NoSQL databases, as well as vector data stores for ML workloads.
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What we offer
- Best online via the application portal.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
ROHDE & SCHWARZ GmbH & Co. KG
Rohde & Schwarz entwickelt, produziert und vermarktet innovative Produkte der Messtechnik, Broadcast- und Medientechnik, Cybersicherheit, Sichere Kommunikation sowie Monitoring und Network Testing. Vor 85 Jahren gegründet, unterhält das Unternehmen ein Vertriebs- und Servicenetz in mehr als 70 Ländern.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Workingconditions
3.8Culture
3.5Engineering
2.6
Data Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
