STRABAG Property and Facility Services GmbH
Senior Inhouse Consultant Business Intelligence / ETL(m/w/x)
Full-timeWith HomeofficeSenior
Münster, Frankfurt am Main
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DEDEU AAG Alliance Automotive Service GmbH
BI Developer / Data Engineer(m/w/x)
Münster
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing and maintaining ETL/ELT pipelines with Python and building data models in Microsoft Fabric. 3+ years BI/Data Engineering experience with SQL and DAX required. Collaboration with international teams on enterprise-scale initiatives.
Requirements
- 3+ years Business Intelligence/Data Engineering experience
- SQL databases (optimization, indexing, tuning)
- ETL/ELT processes and data transformation frameworks
- Microsoft Fabric or comparable data platforms
- DAX for data modeling and reporting
- Power BI report building
- Azure data services experience
- CI/CD pipelines and deployment automation
- Azure DevOps or similar DevOps tools familiarity
- Data warehousing concepts understanding
- International and cross-functional team experience
- Strong analytical and problem-solving skills
- Excellent English communication skills
- Python for data processing/scripting/automation
- Data governance and quality frameworks knowledge
- Large-scale, cloud-based data platforms experience
- Agile/Scrum methodologies familiarity
Tasks
- Design and maintain ETL/ELT pipelines
- Build and optimize data models in Microsoft Fabric
- Develop and maintain complex SQL queries and stored procedures
- Create and maintain semantic models using DAX
- Develop data processing solutions with Python
- Collaborate with stakeholders to translate requirements
- Implement and maintain CI/CD pipelines
- Apply DevOps best practices for code quality
- Monitor and optimize data pipeline performance
- Ensure data quality, governance, and security
- Participate in architectural discussions
- Contribute to data strategy initiatives
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Microsoft Fabric
- DAX
- Power BI
- Azure
- CI/CD
- Azure DevOps
- Python
Benefits
Modern Equipment
- Modern cloud-based data platforms
Informal Culture
- Collaboration with international teams
Other Benefits
- Enterprise-scale data and analytics initiatives
Learning & Development
- Professional growth in data architecture
- Professional growth in data engineering
- Professional growth in report creation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DEU AAG Alliance Automotive Service GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
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DEDEU AAG Alliance Automotive Service GmbH
BI Developer / Data Engineer(m/w/x)
Münster
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing and maintaining ETL/ELT pipelines with Python and building data models in Microsoft Fabric. 3+ years BI/Data Engineering experience with SQL and DAX required. Collaboration with international teams on enterprise-scale initiatives.
Requirements
- 3+ years Business Intelligence/Data Engineering experience
- SQL databases (optimization, indexing, tuning)
- ETL/ELT processes and data transformation frameworks
- Microsoft Fabric or comparable data platforms
- DAX for data modeling and reporting
- Power BI report building
- Azure data services experience
- CI/CD pipelines and deployment automation
- Azure DevOps or similar DevOps tools familiarity
- Data warehousing concepts understanding
- International and cross-functional team experience
- Strong analytical and problem-solving skills
- Excellent English communication skills
- Python for data processing/scripting/automation
- Data governance and quality frameworks knowledge
- Large-scale, cloud-based data platforms experience
- Agile/Scrum methodologies familiarity
Tasks
- Design and maintain ETL/ELT pipelines
- Build and optimize data models in Microsoft Fabric
- Develop and maintain complex SQL queries and stored procedures
- Create and maintain semantic models using DAX
- Develop data processing solutions with Python
- Collaborate with stakeholders to translate requirements
- Implement and maintain CI/CD pipelines
- Apply DevOps best practices for code quality
- Monitor and optimize data pipeline performance
- Ensure data quality, governance, and security
- Participate in architectural discussions
- Contribute to data strategy initiatives
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Microsoft Fabric
- DAX
- Power BI
- Azure
- CI/CD
- Azure DevOps
- Python
Benefits
Modern Equipment
- Modern cloud-based data platforms
Informal Culture
- Collaboration with international teams
Other Benefits
- Enterprise-scale data and analytics initiatives
Learning & Development
- Professional growth in data architecture
- Professional growth in data engineering
- Professional growth in report creation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DEU AAG Alliance Automotive Service GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
DEU AAG Alliance Automotive Service GmbH
Industry
Automotive
Description
Das Unternehmen ist ein Arbeitgeber, der Chancengleichheit fördert.
Not a perfect match?
- STRABAG Property and Facility Services GmbH
Senior Inhouse Consultant Business Intelligence / ETL(m/w/x)
Full-timeWith HomeofficeSeniorMünster, Frankfurt am Main - Westfalen AG
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Lead Entwickler - Data Warehouse(m/w/x)
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Full-timeWith HomeofficeExperiencedMünster