Job
- Level
- Junior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design Azure-based data architectures, work on ETL/ELT pipelines, document technical components, and assist in implementing Data Mesh principles within an interdisciplinary team.
Job Technologies
Your role in the team
- Support in the design and further development of our Azure-based Global Data Platform (Ingestion, Storage, Processing, Serving).
- Participation in architecture building blocks, reference architectures, and blueprints for domain teams.
- Contribution to the integration of MCP and LLM services, RAG architectures, and agentic AI patterns.
- Implementation and documentation of technical components under the guidance of experienced architects.
- Support in building data products based on Data Mesh principles.
- Participation in ETL/ELT pipelines (ADF, Databricks, PySpark) as well as testing, versioning, and deployment.
- Ensuring naming conventions, metadata standards, and documentation.
- Application and further development of existing platform standards (RBAC, Logging/Monitoring, CI/CD).
- Use and expansion of self-service tools (catalog, glossary, lineage, quality frameworks).
- Participation in the standardization of LLM usage, prompt design, and RAG governance.
- Support with architecture reviews, security audits, and technical assessments.
- Close collaboration with domain teams, data engineers, product owners, and senior architects.
- Creation of technical documentation, guidelines, and how-to manuals, as well as active participation in the Community of Practice.
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Our expectations of you
Education
- Completed degree in Computer Science, Data Engineering, Business Informatics, or a comparable qualification.
Qualifications
- Basic understanding of data architectures, modeling concepts, and modern data platforms.
- Basic knowledge in at least two areas: SQL, Python, Databricks, ADF, Azure Storage, CI/CD, Git, API Design.
- Interest in Data Mesh, Data Products, Domain Ownership, and modern platform concepts.
- Understanding of topics such as security, access control, privacy-by-design, and data quality.
- Structured work approach and strong motivation to learn, as well as enjoyment of collaboration in international, interdisciplinary teams.
- Good communication skills in English & German are an advantage.
Experience
- Initial relevant practical experience with cloud data platforms (preferably Azure) as well as Data Engineering.
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What we offer
- Onboarding: Welcome session, onboarding day, and personal mentoring, as well as (digital) onboarding sessions – we ensure your perfect start.
- Further education: Your development is important to us. Whether through our internal campus training program to expand your technical, methodological, or personal skills, voluntary language courses, or regular coaching sessions – we keep you up to date.
- Flexibility: With flexible working hours, remote work, and job sharing models, you can adapt your profession to your life — and not the other way around.
- Fun: Those who work also need to take a break sometimes. Whether it's partying or working out - with us, you'll have plenty of opportunities through regular after-work events and agency-sponsored fitness programs.
- Sports: Extensive sports program as well as mobility options through agency bikes and e-bikes/e-bike leasing.
- Accessibility: Our modern office in Munich's creative quarter is easily accessible for you thanks to its perfect location.
- Internationality: As an internationally operating agency group, you have the opportunity to network and exchange ideas with colleagues from various disciplines around the world.
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Topics that you deal with on the job
Job Locations
This is your employer
Mediaplus Gruppe
Die Mediaplus Gruppe wurde im Jahr 1983 als Serviceplan-Tochter gegründet und ist heute die größte unabhängige und partnergeführte Mediaagentur Europas mit über 30 Standorten und Partnerschaften und rund 1000 Mitarbeiter*innen weltweit.
Description
- Founding year
- 1983
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Advertising, Marketing, PR
Junior Architect - Global Data Platform / Data Mesh
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
