.Senior Data Engineer for BI & Analytics (m/f/d)Full-timeBusiness Segment: ITmedmix 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 For our BI & Analytics team we are looking for a Senior Data Engineer for BI & Analyticswho 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 applicationsDefining a reusable and robust data model (star/snowflake schema)Further improving and extending a common data integration frameworkDebugging and optimization of existing pipelinesAutomating testing procedures to ensure proper data quality.Bachelor's or master's degree in computer science, Engineering, Data Science, Data Engineering or similar field4+ years hands-on experience around:Data Management (DWH and Data Lake architectures with snowflake, Azure Data Lake Store)ETL/ELT design (with tools such as dbt, Talend etc.)Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics, ...)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, ProAlphaSecurity (Active Directory, Application Gateway, Key Vault, Virtual Networks, Network Security Groups)BI reporting tools, like QlikView/QlikSense, PowerBIExperienced 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
