Senior Data Engineer BI & Analytics at medmix

Stuttgart, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehouse, Data Lake Architecture, Snowflake, Azure Data Lake Storage, Data Modeling Techniques, dbt, SQL, ETL, ELT Design, Data Architecture, Data Ingestion, Azure Data Factory, DevOps, Problem-Solving, Automation, Testing

Industry

Medical Device

Description

Company Description medmix is a global leader in high-precision delivery devices. We occupy leading positions in the healthcare, consumer, and industrial end-markets. Our customers benefit from our dedication to innovation and technological advancement that has resulted in over 900 active patents. Our 14 production sites worldwide, together with our highly motivated and experienced team of nearly 2’700 employees provide our customers with uncompromising quality, proximity, and agility. medmix is headquartered in Baar, Switzerland. Our shares are traded on the SIX Swiss Exchange (SIX: MEDX). www.medmix.swiss Job Description Responsible for the design and implementation of reusable and optimized end-to-end data pipelines partnering with internal technical and business stakeholders. You will work closely with the business teams to gather functional requirements, develop data models & design proposals, implement, and test solutions. Tasks & duties: Design and develop robust data pipelines from various source systems—including SAP ERP and cloud-based SaaS platforms - into our Snowflake data warehouse Translate business requirements into technical solutions, understanding the full business context and how data flows across systems Build transformation logic in dbt, creating modular, testable, and well-documented models that support analytics and reporting Model data using best practices (star/snowflake schema), ensuring clarity, consistency, and performance across the BI landscape Collaborate with BI analysts and business stakeholders to ensure data models reflect real-world processes and support decision-making Extend and optimize our data integration framework, focusing on scalability, reusability, and automation Debug, optimize, and refactor existing pipelines, ensuring reliability and performance Implement automated testing and data quality checks to maintain trust in our data assets Qualifications Solid experience with data warehouse and lake architecture using Snowflake and Azure Data Lake Storage Strong command of data modeling techniques (e.g. Inmon, Kimball, Data Vault etc.). 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 & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics etc) Experience with DevOps (CI/CD, version control, testing automation, workflow orchestration) Proactive mindset, strong problem-solving skills, and the ability to work independently and lead technical initiatives. Additional Information medmix is an equal opportunity employer, committed to the strength of a diverse workforce. 93% of our employees would go above and beyond to deliver results – do you have the drive to succeed? Join us and boost your career, starting today!

Responsibilities

The Senior Data Engineer is responsible for designing and implementing optimized end-to-end data pipelines and collaborating with business teams to gather requirements and develop data models. The role involves building transformation logic and ensuring data models support analytics and reporting.