Data Integrator

Available position

Data Integrator
(permanent position, 40 hour per week)

About Nord Quantique
At Nord Quantique, we strive to build impactful technology by relentlessly pushing our understanding of quantum science. We are an interdisciplinary team of scientists, engineers, innovators, builders, and enthusiasts on a mission to make quantum computing a reality. Our quantum processors are designed to reduce errors in quantum computation to facilitate long-term scaling toward fully-fledged quantum computers. We believe it is our responsibility to deliver this transformative technology for the greater good of society.
Located at the heart of the beautiful Eastern Townships region in the province of Quebec, Canada, we develop our technology in the vibrant quantum ecosystem of Sherbrooke. Leaning on more than a decade of vertical integration of quantum hardware, we are leveraging a comprehensive pool of quantum technology and micro-electronic infrastructure to deploy our quantum computing technology.

Salary : $114,000 - $127,000

Benefits : 5 weeks of vacation, group insurance (including dental care), virtual care, lifestyle spending account (all available after 3 months of service)
Contact: ,
Supervisor : Director of Operations
Subordinate : None

Our current needs

As Nord Quantique continues to grow, the Industrialization and Operations team is building the structure and discipline needed to support that growth. The team works at the intersection of engineering and operations, ensuring that processes are robust, tools are reliable, and decisions are grounded in clear operational data.
Data Integrator will play a central role in bringing order and clarity to our data landscape. This person will enable the data access from various source into a single place of analysis and as well the development of reliable industrial dashboards. By structuring data across PLM, MES, SharePoint sites, databases, procurement tools, and future systems, they will ensure that operational metrics are consistent, traceable, and trustworthy — so leaders can rely on them to guide real decisions.

Working in close collaboration with all technical team leaders, the candidate will :

• Design and operate a data access model
• Build and maintain connectors/pipelines to consolidate data from multiple platforms (e.g., MES/ERP/PLM, lab systems, ticketing, spreadsheets, databases, cloud storage)
• Develop and maintain industrial dashboards (production / yield / quality / procurement / inventory / tool uptime) with clear definitions and traceable metrics
• Support security and compliance needs (vendor assessments for data tools, audit readiness, risk reviews, cybersecurity event response procedure) as applicable
• Create lightweight training and enablement (how-to guides, governance playbooks, onboarding for dashboard users and data owners).

Education and experience requirements :

• Bachelor’s degree in Software Engineering, or in a related field, or equivalent experience
• Minimum 5+ years of experience in data governance, data engineering, analytics engineering, data platform engineering, and/or security governance in an operational environment
• Experience integrating manufacturing/industrial systems (MES/PLM/ERP) and operational reporting, an asset
• Experience supporting security/compliance programs (SOC2 Type 2, ISO
  2700-1), an asset.

Sought expertise and knowledge:

• Ability to define controls and coordinate implementation with IT
• Building/operating integrations and pipelines across heterogeneous systems (structured + semi structured sources)
• Data quality monitoring and operationalization (checks, monitoring, issue workflows)
• Power BI (preferred) and/or comparable BI tools; dashboard design for operations (drill-down, consistency, governance); scientific visualisation software (e.g. JMP)
• Advanced level in English, to communicate with international team members
• Intermediate knowledge of French, an asset

Sought profile:

• Pragmatism and good judgment (security vs. usability trade-offs)
• Ownership mindset and ability to drive adoption
• Clear documentation and communication
• Comfort operating in ambiguity and proposing workable target architectures
• Proactive approach to problem solving
• Comfo…