Data and Analytics Engineer - Global Manufacturing

Job Family: Electrification & Automation

Req ID: 527179

Manufacturing Data & Analytics Engineer

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

About Electrification & Automation

Headquartered in Wendell, NC, the Electrification & Automation (E&A) Business Unit offers the full range of energy distribution systems and solutions for all markets and through all sales channels. We provide reliable power distribution grids of today while investing in our Future Grids portfolio to create the power distribution grid of the future.

We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our team!

We are looking for a Manufacturing Data & Analytics Engineer. This position will be based in Wendell, NC.

You'll make an impact by:

• Building and maintaining scalable data pipelines for our US manufacturing network that collect, transform, and deliver manufacturing data for operational reporting, analytics, and continuous improvement initiatives.
• Developing and supporting cloud-based data models that accurately represent production processes, assets, events, and manufacturing performance.
• Collaborating with Industrial IoT and connectivity engineers to ensure reliable data ingestion, validation, monitoring, and troubleshooting across manufacturing systems.
• Defining business terms, relationships, and KPI calculations in partnership with manufacturing, quality, and operational stakeholders.
• Developing reusable semantic and analytical models that establish consistent reporting standards and trusted operational insights.
• Creating dashboards, visualizations, and analytical solutions that help production teams identify losses, monitor performance, and drive measurable improvements.
• Supporting product traceability initiatives by developing data models and retrieval capabilities that improve manufacturing visibility and quality investigations.
• Diagnosing and resolving data quality, integrity, and performance issues across multiple systems and data sources.
• Documenting data architectures, schemas, KPI definitions, semantic models, and governance practices to support long-term scalability and adoption.
• Working closely with business users to translate analytical findings into actionable improvement plans and operational decision-making.

You'll win us over by having the following qualifications:

Basic Qualifications:

• Bachelor's degree in Data Engineering, Computer Science, Software Engineering, Information Systems, Industrial Engineering, or a related technical field; equivalent practical experience will also be considered.
• 5+ years of experience developing and supporting data pipelines, cloud-based data solutions, or enterprise analytics platforms.
• Experience with SQL development skills and proficiency in at least one programming language such as Python
• Hands-on experience with Snowflake and demonstrated ability to build, maintain, test, and troubleshoot data models and transformation pipelines.
• Experience implementing data quality validation, monitoring, testing, and troubleshooting processes.
• Experience translating manufacturing or operational business requirements into meaningful metrics, KPIs, and reporting solutions.
• Experience creating operational dashboards, reports, and performance visualizations that support business decision-making.
• Willingness and ability to travel up to 20% to support U.S. manufacturing facilities.
• Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.

Preferred Qualifications:

• 5+ years of experience in data engineering, manufacturing analytics, Industrial IoT, or industrial digitalization environments.
• Experience working with manufacturing, production, time-series, machine, or operational technology data.
• Experience with Kafka, event-driven architectures, or real-time data streaming technologies.
• Knowledge of product traceability solutions and manufacturing genealogy data models.
• Experience integrating edge and cloud-based technologies within manufacturing environments.
• Familiarity with semantic modeling concepts, governed analytics frameworks, and reusable KPI definitions.
• Experience with Grafana, Power BI, Tableau, or other enterprise business intelligence platforms.
• Understanding of data mesh, modern data architectures, or distributed data ownership principles.

About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose, adding real value for customers.

Our Commitment to Equity and Inclusion in Our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

$102,459 $175,644 10%

Organization: Smart Infrastructure

Job Type: Full-time

Category: Information Technology