Sr. Data Engineer

Job Description

Position Summary:

Develop and maintain a state-of-the-art data management environment to enable innovative Marketing and Sales analytics for Siemens Healthineers. Design, build, optimize, monitor, and manage complex data flows. Successfully collaborate with global stakeholders from the Siemens Healthineers sales and CRM community. Collaborate with internal and external IT and business partners on establishing and managing data interfaces to operative IT systems. Define and establish data marts for global analytics use cases. Establish a data quality framework and support our data catalog initiative with the goal to ensure high quality sales and Marketing and Sales data. Support stakeholders across the world to build impactful descriptive, predictive, and prescriptive analytics use cases. 

Essential Job Functions: 
  • Build meaningful business data marts by transforming data from technical data lake layer into business friendly KPIs and data marts
  • Collaborate with various stakeholder by translating business requirements into data pipeline designs and implement those
  • Build and manage best in class data marts by understanding, transforming, and managing complex data structures
  • Manage, monitor and optimize data pipelines and build highly efficient and automated data lineage for analytics use cases
  • Manage and collaborate with internal and external stakeholders such as IT vendors and local sales organizations
  • Implement & innovate tools and techniques in data management, data catalogue and data quality management
  • Design, build and integrate data pipelines for machine learning and advanced analytics use cases
  • Successfully collaborate on eye level with stakeholders in Marketing and Sales and other cross domain (e.g. Supply Chain, Customer Service, Pricing Excellence

Critical Competencies:
  • High proficiency in designing, managing, monitoring, and administrating data pipelines and data structures
  • Hands-on experience and appreciation working with low code environments in data management (e.g. KNIME, Alteryx, SAS)
  • Ability to translate complex problems into simple technical solutions
  • Ability to abstract data problems into re-usable components/modules
  • Lifetime willingness to learn and explore new technologies (e.g. Cloud technology, web scraping, artificial intelligence)
  • Strong orientation towards quality and results (attention to detail and standardization)
  • Good project management capabilities and hands-on experience in IT implementations
  • Good presentation and communication skills
  • Analytical and out of the box thinking 
  • Natural drive for innovation and optimization
  • Teamwork oriented collaborative attitude

  • Bachelor’s degree in computer science, math, physics, engineering, or related fields.
  • Expert knowledge and multi-year (5+) experience on data pipeline modeling, data transformation and data quality management
  • Certification/training on a low code data management platform preferably KNIME, or alternatively SAS or Alteryx
  • Well-versed in database technologies (preferably Snowflake)
  • Experience with processing, optimizing, and managing large data sets (multiple TB scale).
  • Profound knowledge and hands-on experience with advanced analytics tools such as Phyton
  • Experience in Marketing or Sales preferred or alternatively an analytics function within the business
  • Proficient English plus an additional foreign language is preferred
  • Knowledge on data visualization such as Qlik or PowerBI is preferred
  • Knowledge of Azure cloud environment is preferred
  • Working experience with Agile methods
  • Business experience in the field of medical imaging technology and diagnostics preferred.
  • Experience in working with multinational teams and/or different countries and cultures.


Organization: Siemens Healthineers

Company: Siemens Medical Solutions USA, Inc.

Experience Level: Experienced Professional

Job Type: Full-time

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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