Key skills
AzureCloudETLJavaNoSQLPythonSQLC++CPowerShellELTData LakeAnalyticsDatabricksdbtAzure DevOpsSAPAgile
About this role
Role Overview
- Gather, analyze, design, and implement data-related requirements and optimization initiatives
- Develop, maintain, and optimize data pipelines for extracting data from cloud and on-premise systems into a Data Lake
- Build and manage large, complex datasets aligned with business needs
- Configure data workflows to optimize ETL/ELT processes across multiple data sources
- Evaluate current data architecture and recommend improvements
- Develop analytics tools to generate actionable business insights (e.g., customer acquisition, operational performance)
- Create small data-driven applications to support analytics and data science teams
- Collaborate with cross-functional teams to enhance business processes and data deliver
Requirements
- Strong expertise in SQL and relational databases
- Experience with big data pipelines, architectures, and datasets
- Hands-on experience with ETL tools: Databricks, DBT, Azure Data Factory
- Databases: SQL & NoSQL systems
- File formats: Parquet, JSON, CSV, XML
- Programming languages: Python, Java, C++, PowerShell, DAX
- Experience with Azure Data Services and Databricks
- Knowledge of message queues, stream processing, and scalable data stores
- Familiarity with Agile methodologies and Azure DevOps
- Experience or understanding of Data Mesh architecture (Nice to Have)
- SAP knowledge (Nice to Have)
- Azure data-related certifications (Nice to Have)
- German language skills (Nice to Have)
Tech Stack
- Azure
- Cloud
- ETL
- Java
- NoSQL
- Python
- SQL
Benefits
- Competitive salary
- Collaborative environment
- Inclusive work culture
- Equal opportunities for all employees