Medtronic
AI/DataScienceEngineerII(DataEngineer)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI/Data Science Engineer II(Data Engineer) at Medtronic. Skills: Data Engineering, Analytics Engineering, Finance Data, ETL/ELT. Design data architectures. Optimize data architectures”
Industry & Context.
3-4 days/week overlap with U.S. team
What They're Looking For.
Must Have
5-8 years overall experience, 5+ years Data Engineering, 5+ years Analytics Engineering, 5+ years Finance Data roles, SQL proficiency, ETL/ELT development experience, Experience with enterprise financial systems, Bachelor's degree in engineering, Bachelor's degree in Finance, Bachelor's degree in Accounting
Nice to Have
MBA in Finance, Experience with cloud platforms, Python familiarity, Spark familiarity, Power BI exposure, Experience supporting financial planning, Experience supporting revenue analytics, Experience supporting sales performance reporting, Knowledge of data governance, Knowledge of data lineage, Knowledge of financial controls frameworks, Ability to work independently, Manage multiple priorities, Proactive mindset, Passion for automation, Passion for data transformation, Passion for continuous improvement, Organizational ability, Time-management ability
What You'll Do.
Design data architectures
Optimize data architectures
Design feature-ready data models
Design real-time pipelines
Design near-real-time pipelines
Design governed datasets
Translate finance processes into data models
Design ETL/ELT pipelines
Build ETL/ELT pipelines
Maintain ETL/ELT pipelines
Support downstream analytics
Support Power BI dashboards
Support forecasting models
Support AI/ML initiatives
Identify automation opportunities
Standardize financial data processes
Optimize data pipelines
Enhance data architecture
How You'll Work.
Team & Collaboration
Finance stakeholders; Data engineers; IT teams; Finance teams; Data Science teams; Engineering teams; U.S. team
Full Job Description
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** As a Data Engineer for the Reporting, Analytics & Insights (RAI) COE within Global Finance at Medtronic, you’ll have an opportunity to contribute to the world’s largest medical device company. This dynamic role within a multicultural environment fosters career growth and is critical to driving digital transformation and operational excellence across financial operations. You will work closely with Finance, Data Science, and Engineering teams to develop interactive visualizations that drive data accessibility. This role requires an average of 3-4 days per week of overlapping work hours with the U.S. team to ensure seamless collaboration. **Responsibilities may include the following and other duties may be assigned:** * Enable scalable AI/ML use cases by designing and optimizing data architectures, including feature-ready data models, real-time/near-real-time pipelines, and governed datasets that support advanced analytics, forecasting models, and enterprise AI initiatives. * Finance Domain Data Ownership: Translate finance processes (FP&A, revenue, cost, margin, forecasting) into scalable and governed data models. * Data Engineering & Pipeline Development: Design, build, and maintain robust ETL/ELT pipelines using modern data platforms (e.g., Snowflake, Azure). * Data Modeling for Finance: Develop optimized data models (fact/dimension structures) to support financial reporting, planning, and analytics. * Business & Technical Collaboration: Partner with finance stakeholders, data engineers, and IT teams to align data architecture with business needs. * Enable Advanced Analytics: Support downstream analytics, including Power BI dashboards, forecasting models, and AI/ML initiatives. * Automation & Process Ef
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