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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing modern data platforms and data engineering solutions, with a strong focus on AI integration, data quality, and scalable architectures. Proficient in SQL, Python, and various cloud technologies to deliver impactful data products and analytics.
Highest-signal resume keywords
Data EngineeringCloud Data PlatformsSQLPythonMicrosoft Azure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentLakehouse ArchitectureETL/ELT ProcessesData ModelingInfrastructure as Code (IaC)APIsData Quality FrameworksMLOpsLLMOpsConversational BI
Soft Skills
Excellent CommunicationStakeholder ManagementStructured Working StylePragmatic Execution
Tools & Technologies
Microsoft FabricDatabricksSnowflakeDbtAzure Data FactoryAzure Synapse AnalyticsPower BIMicrosoft Power Platform
Industry Keywords
Data & AI ConsultingAI IntegrationGenerative AIRAG ArchitecturesAgentic AI
Tech Stack
Tools & technologiesAzureCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- Design and implement modern data platforms and data engineering solutions
- Build data pipelines, lakehouse architectures, semantic data models, and data products for Analytics, AI, and GenAI use cases
- Bridge Data Engineering and AI Engineering, focusing on RAG architectures, Conversational BI, AI-powered data products, and LLM-based applications
- Develop and integrate AI agents and agentic components for pipeline development, data quality, automation, monitoring, and self-service analytics
- Use Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, and dbt to build scalable data and AI solutions
- Design end-to-end architectures spanning source systems, integration, transformation, governance, quality assurance, and consumption through AI, BI, and business applications
- Advise clients on technology selection, target architectures, migration strategies, platform modernization, and AI integration into data strategies
- Own workstreams or projects, ensuring pragmatic execution, technical excellence, and measurable client business value
- Contribute best practices, reusable assets, technical standards, and innovation initiatives to the Data & AI portfolio
Requirements
What you’ll need- Proven professional experience in Data Engineering, Cloud Data Platforms, or Data & AI Consulting, ideally in a consulting, delivery, or project-based environment
- Hands-on experience designing and implementing data pipelines, data models, lakehouse architectures, or cloud data warehouse solutions
- Strong proficiency in SQL and Python or PySpark
- Practical experience with ETL/ELT processes, APIs, data quality frameworks, CI/CD, and Infrastructure as Code (IaC)
- Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, and Microsoft Power Platform
- Understanding of modern data platforms supporting AI, Generative AI, and advanced analytics
- Practical experience with LLM-based applications, RAG, Agentic AI, Azure AI Foundry, MLOps, or LLMOps highly desirable
- Strong architectural mindset connecting business requirements, data platforms, AI use cases, and operational considerations
- Structured and pragmatic working style
- Excellent communication and stakeholder management skills
- Fluent German at minimum C1 level
- English language skills
- Willingness to travel to client locations as required
Benefits
Comp & perks- Individual development opportunities through the PERSONAL GROWTH MODEL
- Over 200 training days per year in the Academy
- Certification courses
- German classes
- Coaching & Leading leadership culture
- Flexible mobile/remote working under the Mobile Work Policy
- Tailored vacation days, increasing annually with seniority up to 30 days
- Flexible working hours
- Private health insurance
- Monthly multi-benefits funds usable for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions
- Mindfulness training and regular exchange through the Mindfulness Community
- Numerous networking and social events