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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, data engineering solutions, and AI integration, with a strong focus on data pipelines, lakehouse architectures, and cloud data technologies. Proficient in SQL, Python, and various data tools, while effectively managing projects and communicating with stakeholders.
Highest-signal resume keywords
Data EngineeringCloud Data PlatformsSQLPythonMicrosoft Azure
ATS Keywords
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Hard Skills
Data Pipeline DevelopmentLakehouse ArchitectureETL/ELT ProcessesData Quality FrameworksInfrastructure as Code (IaC)APIsCI/CDData ModelingAI IntegrationMLOps
Soft Skills
Excellent CommunicationStakeholder ManagementStructured Working ApproachPragmatic Execution
Tools & Technologies
Microsoft FabricAzure Data FactoryAzure Synapse AnalyticsDatabricksSnowflakeDbtPower BIMicrosoft Power Platform
Industry Keywords
Data & AI ConsultingGenerative AIRetrieval-Augmented Generation (RAG)Agentic AILLM-based Applications
Tech Stack
Tools & technologiesAzureCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- Design and implement modern data platforms and data engineering solutions, including data pipelines, lakehouse architectures, semantic data models, and data products
- 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 across the data lifecycle, from source systems and integration through transformation, governance, quality assurance, and consumption
- 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 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
- Experience in consulting, delivery, or project-based environments is ideal
- 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 how modern data platforms enable AI, Generative AI, and advanced analytics solutions
- Practical experience with LLM-based applications, Retrieval-Augmented Generation (RAG), Agentic AI, Azure AI Foundry, MLOps, or LLMOps is highly desirable
- Strong architectural mindset connecting business requirements, data platform capabilities, AI use cases, and operational considerations
- Structured and pragmatic working approach
- 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- Individually tailored career development opportunities through the PERSONAL GROWTH MODEL
- Over 200 training days per year through the Academy
- Certification courses
- German language classes
- Coaching & Leading leadership culture
- Flexible mobile and remote working through the Mobile Work Policy
- Tailored vacation days increasing annually based on seniority, up to 30 days
- Flexible working hours
- Private health insurance
- Multi-benefits platform with monthly benefits funds for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions
- Mindfulness training and regular community exchange
- Networking and celebratory events