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Senior Data Engineer BI & Analytics(m/w/x)
Description
In this role, you will design and implement efficient data pipelines while collaborating with business teams to translate requirements into technical solutions. Your work will ensure data clarity and support informed decision-making across the organization.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Experience with data warehouse and lake architecture using Snowflake and Azure Data Lake Storage
- •Strong command of data modeling techniques
- •Deep expertise in dbt, SQL, and Snowflake or similar cloud data platforms
- •Strong understanding of data architecture, ETL/ELT design, and data warehouse principles
- •Ability to grasp complex business processes and translate them into clean, scalable data models
- •Data ingestion and processing using Azure Data Factory, Functions, Batch Ingestion, Stream Analytics
- •Experience with DevOps including CI/CD, version control, testing automation, workflow orchestration
- •Proactive mindset, strong problem-solving skills, and ability to work independently and lead technical initiatives
Work Experience
approx. 4 - 6 years
Tasks
- •Design and implement optimized data pipelines
- •Collaborate with stakeholders to gather functional requirements
- •Develop data models and design proposals
- •Build robust data pipelines from various source systems
- •Translate business requirements into technical solutions
- •Create transformation logic in dbt for analytics
- •Model data using best practices for clarity and performance
- •Work with BI analysts to ensure data models support decision-making
- •Extend and optimize the data integration framework
- •Debug and refactor existing data pipelines
- •Implement automated testing and data quality checks
Tools & Technologies
Languages
English – Business Fluent
- DYMATRIXFull-timeOn-siteManagementStuttgart
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Senior Data Engineer BI & Analytics(m/w/x)
The AI Job Search Engine
Description
In this role, you will design and implement efficient data pipelines while collaborating with business teams to translate requirements into technical solutions. Your work will ensure data clarity and support informed decision-making across the organization.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Experience with data warehouse and lake architecture using Snowflake and Azure Data Lake Storage
- •Strong command of data modeling techniques
- •Deep expertise in dbt, SQL, and Snowflake or similar cloud data platforms
- •Strong understanding of data architecture, ETL/ELT design, and data warehouse principles
- •Ability to grasp complex business processes and translate them into clean, scalable data models
- •Data ingestion and processing using Azure Data Factory, Functions, Batch Ingestion, Stream Analytics
- •Experience with DevOps including CI/CD, version control, testing automation, workflow orchestration
- •Proactive mindset, strong problem-solving skills, and ability to work independently and lead technical initiatives
Work Experience
approx. 4 - 6 years
Tasks
- •Design and implement optimized data pipelines
- •Collaborate with stakeholders to gather functional requirements
- •Develop data models and design proposals
- •Build robust data pipelines from various source systems
- •Translate business requirements into technical solutions
- •Create transformation logic in dbt for analytics
- •Model data using best practices for clarity and performance
- •Work with BI analysts to ensure data models support decision-making
- •Extend and optimize the data integration framework
- •Debug and refactor existing data pipelines
- •Implement automated testing and data quality checks
Tools & Technologies
Languages
English – Business Fluent
About the Company
medmix
Industry
Healthcare
Description
The company is a global leader in high-precision delivery devices, dedicated to innovation and quality in healthcare, consumer, and industrial markets.
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