Senior Data Engineer for BI & Analytics (m/f/d)

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

For our BI & Analytics team we are looking for a Senior Data Engineer for BI & Analytics

who will be 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.

• Support leadership in managing internal and external resources and overseeing larger implementation projects.
• Identifying required data sources based on business requirements, knowledge of business processes and systems used.
• Creating data ingestion pipelines from source systems (ERP or cloud SaaS solutions) into a central data warehouse (snowflake)
• Designing and implementing data transformation pipelines within the data warehouse to a target data model, consumable by BI reporting applications
• Defining a reusable and robust data model (star/snowflake schema)
• Further improving and extending a common data integration framework
• Debugging and optimization of existing pipelines
• Automating testing procedures to ensure proper data quality.

Qualifications

Bachelor’s or master’s degree in computer science, Engineering, Data Science, Data Engineering or similar field

4+ years hands-on experience around:

• Data Management (DWH and Data Lake architectures with snowflake, Azure Data Lake Store)
• Data Modeling (e.g. Inmon, Kimball, Data Vault etc.)
• ETL/ELT design (with tools such as dbt, Talend etc.)
• Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics, …)
• DevOps (Continuous Integration / Delivery, testing automation, Azure DevOps, Git(-hub)

Experience in the following fields will be considered as strong assets:

• Proven track record in partnering with the business to extract value from data.
• Working with data ingested from systems such as SAP (ECC or S4), Salesforce, Tagetik, ProAlpha
• Data Engineering (Python / pySpark, SQL)
• Security (Active Directory, Application Gateway, Key Vault, Virtual Networks, Network Security Groups)
• BI reporting tools, like QlikView/QlikSense, PowerBI

Big-picture thinker with positive attitude while maintaining an attention to detail.

Experienced in managing vendors/partners as well as projects from PoC to scalable solution.

Problem solving skills and capabilities to explain complex situations in an easy and understandable manner.

Project Management skills are a big plus.

Experience working with agile methodologies such as Scrum, SAFe etc.

Team player and motivational capabilities.

Fluent in English.

Additional Information

What you can expect from us:

• Opportunities for growth and for self-development
• Being part of a successful and innovative company in an international environment
• Benefits and premiums for long term service
• 1 Day remote work possible
• Private health insurance