Data Engineer CE

SiemensHealthineers is looking for a talented and motivated individual to serve asa DataEngineer withinour CRM Excellence Data Governance & Management team. The right candidatewill work with the industry’s latest CRM, ERP and database technologies insupport of a highly focused and entrepreneurial department leading change,driving growth and supporting key business services. The individual willparticularly contribute to realize our strategy around hybrid selling and willbe a hands-on technical resource to a variety of global projectinitiatives. The candidate should have a solid background in keytechnologies with a focus on data management, data integration, system designand implementation. The ideal candidate will be inspired by technologyand its use in an ever changing, fast paced environment.

Thisposition will strongly collaborate with the existing IT Data Cloud teams andour IT Digital Customer Experience Marketing and Sales Master data team as wellas various teams within the CRM Excellence function.

KeyResponsibilities:

• Design, develop, implement, and document data transformation processes enriching raw data with business logics.
• Translating business requirements into data transformation algorithms
• Building robust testing frameworks
• Design complex data models for delivering data products to our business stakeholders.
• Maintain and monitor data pipelines and identify optimization potentials.
• Help architect an agnostic semantic data layer which will drive key business initiatives.
• Perform data profiling to understand data domains, validation rules, data dependencies and lineage.
• Design data solutions utilizing low-code platforms (KNIME) and code-based technologies (e.g. Python)
• Participate in code and design reviews.
• Implement business rules within Data Vault 2 structures

RequiredQualifications:

• Well-versed in relational database design.
• Exceptional knowledge of Snowflake
• Profound knowledge of KNIME
• Understanding of CRM data structures
• Experience with processing and managing large data sets (multi TB scale).
• Mandatory experience or knowledge of Data Vault 2, ideally certified.
• BS/MS degree in Data Science, Computer Science, Engineering, Applied Math or related field.

DesiredQualifications:

• Proficiency in AI technologies.
• Experience incorporating cloud technologies (Azure, AWS).
• Experience with dbt
• Experience with EDW practices such as slowly changing dimensions and agnostic layers.
• Experience with Python or other scripting languages.
• Experience with data viz platforms such as PowerBI and QlikSense.
• Experience in Big Data/NoSQL environments.
• Experience in designing and managing data products
• Experience in advanced data protection concepts (Data Masking, Row Level Policies, Data Anonymization)

Whatdo we offer:

• Variable and Christmas bonus
• Hybrid type of work – combination of telework and work from office
• Flexible Working Hours
• Bridge days – free extra paid leave 6 days per year 
• 3 sick days per year (no doctor’s permit needed)
• In case of sickness 100% salary reimbursement 20 days/ year, this includes max. 10 days/ year for of family care
• Additional pension plan
• 300 EUR for regeneration of work force via cafeteria system
• Wellbeing program – Psychological, Legal and Financial Councelling
• Family care program (subsidy for newborns, maternity leave, kindergardens, summer camps)
• Retention program (work anniversary, life anniversary, employee loans)
• Training and development program (business and product trainings, e-learning, language courses, soft skills trainings,…)
• Adjustable standing desk as a standard
• Participation on world famous IT conferences like Microsoft IGNITE for best employees
• Wide project portfolio in healthcare domain and job rotation within company (Cybersecurity, Artificial Intelligence, Healthcare IT services, …)

Basicwage component (gross) and other rewards : starting from 2500 EUR brutto/month + VAR*

*We arerequired by law to disclose basic wage component (minimum salary) for theadvertised positions. We carefully consider your professional qualificationsand experience in our compensation package and/or when offering you otherpositions.

Our goalis to pay our employee's fairly, with regard to the market situation and we areready to welcome high-quality candidates in our team.