Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you design Azure-based cloud platforms for Data and AI workloads, develop architecture blueprints, and ensure security, governance, and operational standards while collaborating closely with various teams.
Job Technologies
Your role in the team
- Design, enablement, and continuous development of Azure-based cloud platforms for scalable data and AI workloads.
- Support for domain and product teams through cloud enablement patterns, reference architectures, landing zones, and platform standards.
- Development and enforcement of reusable architecture blueprints, building blocks, and guardrails, taking into account security, governance, and compliance.
- Ensuring operational excellence in terms of performance, stability, observability, and cost efficiency (FinOps orientation).
- Conducting architecture reviews as well as evaluating internal and vendor-provided solutions in terms of scalability, security, operability, and cost.
- Technical contact person for vendors, partners, and stakeholders, including quality assurance, integration, standardization, and operational handover.
- Enablement and governance of AI-supported platform functionalities such as LLM services, RAG architectures, and agentic AI patterns in compliance with Responsible AI and data protection principles.
- Technical support and quality assurance for cloud-native Data and AI pipelines (e.g., ADF, Databricks, Synapse, PySpark) including CI/CD, versioning, and testing.
- Support in building Data Products based on Data Mesh principles with clear domain-oriented responsibility.
- Definition, application and further development of uniform standards for security, RBAC, data classification, metadata, lineage, monitoring, and data quality.
- Close collaboration with security, privacy, governance, architecture, and product stakeholders to implement Privacy-by-Design and compliant access models.
- Creation of clear technical documentation, guidelines, and best practice recommendations, as well as active knowledge sharing within Communities of Practice.
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Our expectations of you
Education
- Completed degree in Computer Science, Data, AI, Cloud Engineering, or a comparable qualification.
Qualifications
- In-depth knowledge of core Azure services (e.g., ADF, Databricks, Azure Storage, Networking, Identity).
- Very good expertise in at least two areas such as Python, SQL, CI/CD, Git, Infrastructure as Code, or API integration.
- Strong interest in scalable data and AI platforms, Data Mesh, Data Products, and modern platform concepts.
- Understanding of security, access control, Privacy-by-Design, and data quality in cloud environments.
- Analytical, structured working approach as well as strong willingness to learn.
- Very good knowledge of English; German skills are a plus.
Experience
- Practical experience with Azure cloud services and modern cloud-native architectures.
- Ideally, experience with LLM/RAG concepts and governance for AI solutions.
- Experience in an international and cross-functional environment; collaboration with vendors is an advantage.
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What we offer
- Onboarding: Welcome session, onboarding day, and personal mentoring and (digital) onboarding sessions - we ensure your perfect start.
- Further Education: Your development is important to us. Whether through our internal campus training program to enhance 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 a party 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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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
More net
Topics that you deal with on the job
Job Locations
This is 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
Azure Cloud & Platform Engineer
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
