Roche

Data/Senior Data & Analytics Engineer (PI, MQTT and UNS)

Roche$78K — $146K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
  • 5+ years of experience for Data & Analytics Engineer; 8+ years for Senior Data & Analytics Engineer in data/analytics solutions.
  • Desirable experience with AVEVA PI Data Historian or similar platforms.
  • Prior collaboration experience with IT OT providers/vendors.
  • Willingness to travel up to 30% during project phases.

Responsibilities

  • Develop and manage data historian and related systems in a GMP environment.
  • Design, configure, and maintain the OSI PI System infrastructure.
  • Create data pipelines for advanced analytics and integration with business systems.
  • Administer applications including user management, upgrades, and audit support.
  • Develop and maintain standardized Asset Framework templates and attributes.
  • Maintain real-time operational dashboards using PI Vision.
  • Assist in drafting validation documentation and SOPs in accordance with regulatory standards.

Benefits

  • Comprehensive benefits package including health and wellness programs.
  • Discretionary annual bonus based on performance.
  • Opportunities for technical mentorship and skill development.
Full Job Description
Data & Analytics Engineer/Senior Data & Analytics Engineer (PI, MQTT and UNS)

The Opportunity

As a Data & Analytics Engineer/Senior Data & Analytics Engineer, you will perform a mix of remote and onsite work (first at the General Planner's office, later at construction site/plant). You will transition to local full-time on-site work once the site buildings are built and equipment delivered.

What you'll be working on:
  • Development and lifecycle management of the data historian and related data systems in a GMP regulated environment.
  • Design, configure, and maintain the OSI PI System infrastructure including PI Data Archive, PI Asset Framework (AF), PI Vision, and PI Analysis Service.
  • Design and support robust data pipelines, ensuring contextualized data from OSI PI and MQTT sources is available for advanced analytics, predictive modeling, and integration with Level 4 business systems (e.g., ERP, LIMS, PLM).
  • Performing application administration (user admin, patching, upgrades, audit support, system and database log review and maintenance).
  • Software development in various languages, testing and configuration of COTS or custom applications to support HSP manufacturing systems and support of stakeholders.
  • Development and management of standardized Asset Framework (AF) templates, attributes, and hierarchies to represent site equipment and processes consistently.
  • Creation and maintenance of operational dashboards and displays in PI Vision to provide real-time visibility for manufacturing, quality, and engineering teams.
  • Partnering with IT and Automation teams to ensure high availability, disaster recovery, and cybersecurity compliance of the PI system.
  • Drafting and execution of validation documentation (IQ/OQ/PQ) and standard operating procedures (SOPs) for the PI system in accordance with 21 CFR Part 11 and GxP standards.
  • Performing routine system maintenance, including upgrades, security patching, and health monitoring to ensure 24/7 reliability.
  • Providing technical mentorship and support to system users, helping them leverage PI data for process optimization and troubleshooting.
  • Monitoring and analysis of manufacturing data as necessary to provide support for process discrepancies, investigations, validation protocols, process transfers, or equipment troubleshooting.
  • Working to identify opportunities to create additional value and improve business processes and patient outcomes, maximize the benefits of standardization of technologies and leverage across sites.
  • Executing implementation and delivery of projects on-site IT OT Product Portfolio.
  • Assisting in the development of end-user and maintenance training materials.
  • Providing diagnostic troubleshooting assistance to maintenance and technicians as required, including off-hour and on-call support.


Who You Are

Data & Analytics Engineer (PI, MQTT and UNS)
  • Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
  • 5+ years of experience implementing and managing data and/or analytics solutions. Highly desirable AVEVA PI Data Historian experience or experience from other platforms that will accelerate learning on those platforms.
  • Prior experience in working closely with IT OT providers/vendors.
  • Travel of up to 30% of the time is expected during the project phase.


The expected salary range for this position based on the primary location of Holly Springs, North Carolina is $78,900- $146,500.

Senior Data & Analytics Engineer (PI, MQTT and UNS)
  • Bachelor's degree in Chemical, Electrical, or Computer Engineering, Computer Science, or a related technical discipline.
  • 8+ years of experience implementing and managing data and/or analytics solutions. Highly desirable AVEVA PI Data Historian experience or experience from other platforms that will accelerate learning on those platforms.
  • Prior experience in working closely with IT OT providers/vendors.
  • Travel of up to 30% of the time is expected during the project phase.


The expected salary range for this position based on the primary location of Holly Springs, North Carolina is $95,200 - $176,800.

Physical Requirements:
  • Ability to work in a manufacturing environment, which may include cleanrooms and technical areas.
  • Position requires standard office work including prolonged sitting and computer usage.
  • May require occasional lifting of up to 25 lbs. related to hardware maintenance.


The ideal candidate will have expertise domain knowledge in the following area(s). These skills are highly preferred.
  • Biopharmaceutical or similar Manufacturing domain.
  • Advanced knowledge of data management solutions such as AVEVA PI System.
  • Advanced knowledge of data management integration technologies such as OPC standards, PI connectors, PI interfaces, MQTT, RDBMS, XML, JSON, REST API, Highbyte, etc.
  • Proficiency with MQTT protocol and broker technologies (e.g., HiveMQ, Mosquitto).
  • Familiarity with modern data engineering tools and languages (e.g., Python, scripting) to manipulate and route data streams.
  • Knowledge of operational analytics tools such as PI Vision, SEEQ is a plus.
  • Knowledge of Manufacturing Execution Systems (Pharmasuite or Syncade), Manufacturing Control Systems (Emerson or Rockwell), LIMS, and SAP considered a plus.
  • Advanced knowledge of Good Manufacturing Practices (GMP), Health Authority practices, 21 CFR Part 11, cGMP Annex 11, Data Integrity principles.
  • Exhibits intellectual curiosity and integrity and has a strong passion to bring value-adding technology to the business.


Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Relocation benefits are not available for this job posting.

#CVRM

About Roche

Roche Holding AG is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has bearer shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel. Roche is the largest pharmaceutical company in the world, and the leading provider of cancer treatments globally. The company also produces a range of diagnostic tests for medical professionals and patients. Roche was one of the first companies to bring targeted treatments to patients. In 2019, Roche had over 100,000 employees worldwide, and generated revenue of CHF 61.5 billion.
Learn more about Roche
Size
100,920 employees
Industry
NASDAQ

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