Job
- Level
- Junior
- Location
- Munich
- Working Model
- Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will enhance the Azure-based Global Data Platform, design ETL/ELT pipelines, and engage with LLM services and Data Mesh principles within interdisciplinary teams.
Job Technologies
Your role in the team
- Supporting the design and further development of our Azure-based Global Data Platform (ingestion, storage, processing, serving).
- Contributing to architectural building blocks, reference architectures, and blueprints for domain teams.
- Adding value to the integration of MCP and LLM services, RAG architectures, and agentic AI patterns.
- Implementing and documenting technical components under the guidance of experienced architects.
- Supporting the development of data products based on Data Mesh principles.
- Contributing to ETL/ELT pipelines (ADF, Databricks, PySpark) as well as testing, versioning, and deployment.
- Ensuring adherence to naming conventions, metadata standards, and documentation requirements.
- Applying and further evolving existing platform standards (RBAC, logging/monitoring, CI/CD).
- Using and expanding self-service tools (catalog, glossary, lineage, quality frameworks).
- Participating in the standardization of LLM usage, prompt design, and RAG governance.
- Supporting architecture reviews, security assessments, and technical evaluations.
- Collaborating closely with domain teams, data engineers, product owners, and senior architects.
- Creating technical documentation, guidelines, and how-to guides, and actively contributing to the Community of Practice.
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Our expectations of you
Education
- A 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.
- Foundational knowledge in at least two of the following 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.
- A structured working style, strong motivation to learn, and enjoyment of collaborating in international, interdisciplinary teams.
- Strong communication skills in English; German skills are a plus.
Experience
- First relevant hands-on experience with cloud data platforms (ideally Azure) as well as data engineering.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Serviceplan Group
Since our founding in 2002, we have specialized in performance-oriented online, social and content campaigns. Based on this wealth of experience, we have further developed into a 360 ° planning media agency in 2018. With the view from the digital perspective on the classical media, we work out cross-media and data-based mediastrategies for our customers.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR
Architect - Global Data Platform / Data Mesh
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
