Job
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.
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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.
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.
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.
Topics you will work on
Job locations
About your employer
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.
- 1983
- Established Company
- Onsite, Hybrid
- Advertising, Marketing, PR
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