18.03.2026 aktualisiert
KG
100 % verfügbar
Senior Data Engineer & Analytics Professional
Hamburg, Deutschland
Nur Remote
Bachelor of Engineering - Computer EngineeringSkills
Data AnalysisMicrosoft AzureBusiness IntelligenceBig DataCloud ComputingComputerprogrammierungDatenbankenInformation EngineeringDateninfrastrukturDatenmodellEntscheidungsunterstützungssystemExperimentierenPythonMicrosoft Power BIAzure Data Lake
Data Engineering & Analytics
End-to-end data infrastructure development from ingestion to analytics with expertise in scalable batch pipelines and analytics-ready datasets
Cloud Platforms & Big Data
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure Storage implementation and management
Programming & Database Technologies
SQL, Python, Power BI, DAX for data modeling, analytics pipelines, and business intelligence solutions
Business Intelligence Tools
Power BI dashboard creation and KPI framework development for business decision support
Data Modeling & Warehousing
SQL-based warehouse models and production-grade data pipeline development
Product Analytics
KPI tracking, experimentation analysis, and growth-focused decision-making support
Microsoft Office Suite
Word, Excel, PowerPoint, Teams for documentation and presentation
Programming Languages
Spark programming for big data processing and analytics
End-to-end data infrastructure development from ingestion to analytics with expertise in scalable batch pipelines and analytics-ready datasets
Cloud Platforms & Big Data
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure Storage implementation and management
Programming & Database Technologies
SQL, Python, Power BI, DAX for data modeling, analytics pipelines, and business intelligence solutions
Business Intelligence Tools
Power BI dashboard creation and KPI framework development for business decision support
Data Modeling & Warehousing
SQL-based warehouse models and production-grade data pipeline development
Product Analytics
KPI tracking, experimentation analysis, and growth-focused decision-making support
Microsoft Office Suite
Word, Excel, PowerPoint, Teams for documentation and presentation
Programming Languages
Spark programming for big data processing and analytics
Sprachen
DeutschgutEnglischMuttersprache
Projekthistorie
Owned end-to-end data flow from ingestion to analytics, ensuring data quality, reliability, and performance. Integrated data from internal systems and third-party sources into analytics-ready schemas and standardized metrics. Designed and built batch data pipelines and analytical data models using Python, SQL, Azure Databricks, and Azure Data Factory.
Delivered product analytics and decision science solutions for digital products, supporting KPI tracking, experimentation, and growth-focused decision-making across multiple clients. Built analytics pipelines, SQL data models, and Power BI semantic models using SQL, Power BI, DAX, and Azure analytics platforms.
Implemented reporting and analytics solutions to support day-to-day business monitoring and performance tracking. Created dashboards and data workflows using Power BI, SQL, and Azure Data Factory. Modelled and transformed raw data into analysis-ready datasets to convert business requirements into clear KPIs.