Data Engineer

Location: Ottawa, Canada In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible. For decades, Ottawa has been a global technology leader. Today, Canada’s capital holds one of the brightest and most diverse technological ecosystems in North America. Voted as Canada’s best place to live 2017 by Maclean's, Ottawa offers a low cost of living with a high quality of life. The Thales Ottawa office has been a major supplier and long-term trusted partner to DND, enabling the Canadian Armed Forces and the Canadian Coast Guard to achieve mission success. Ottawa, Ontario, Hybrid Position Summary Thales is looking for a Data Engineer who will be involved in the data engineering activities in support of projects that contribute to naval platforms in-service support programs. As part of the Innovation Team, as the successful candidate, you will help deliver value to the operational team quickly in an agile and incremental way. More specifically, you will work with business analysts and operational stakeholders to identify problems and build data foundation solutions that can be put in production. The type of functions could range from defining and implementing formal data practices, designing data architecture, implementing automated data pipelines, deploying machine learning models, implementing software that helps with decision making – while using modern development techniques and technologies. Key Areas of Responsibility Contribute to the definition of a data platform architecture that is suitable for the business needs of the program Support data initiatives such as Technical Data Package management, data migration and Condition-Based Maintenance (CBM) of complex assets Contribute to the deployment and maintenance of tools part of the TCDS data platform Develop ETL/ELT pipelines Develop data mappings and lineage Develop data quality rules Develop data orchestration workflows infrastructure Deploy and monitor AI/ML models in production Minimum Qualifications Undergraduate degree in software engineering, computer science or related field. 7 years of experience with data engineering toolsets such as AirFlow, Argo, dbt, Nifi 7 years of experience with data architecture, data modeling techniques and languages 7 years of experience in data quality benchmarking and analysis Experience with scripting technologies such as Python, R Knowledge of agile software engineering methodologies Ability to work on well-defined projects with minimal supervision Proven problem solving and analytic skills with a desire to learn Capable of developing strong relationships across the business through excellent customer service and business acumen If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community! Special Position Requirements Occasional travel within Canada What We Offer Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following: •Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program. • Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period. •Company paid holidays, vacation days, and paid sick leave. •Voluntary Life, AD&D, Critical Illness, Long-Term Disability. •Employee Discounts on home, auto, and gym membership. Why Join Us? Say HI and learn more about working at Thales click here. #LI-Hybrid #LI-I1 Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following: • Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program. • Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period. • Company paid holidays, vacation days, and paid sick leave. • Voluntary Life, AD&D, Critical Illness, Long-Term Disability. • Employee Discounts on home, auto, and gym membership. Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience. This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian Enhanced Reliability security clearance.

The Data Engineer will design and implement data platform architectures, automated pipelines, and data quality workflows to support naval platform programs. They will also deploy and monitor AI/ML models while collaborating with operational stakeholders to build production-ready data solutions.

Candidates must hold an undergraduate degree in software engineering, computer science, or a related field. A minimum of 7 years of experience in data engineering toolsets, data architecture, and data quality analysis is required.

• Extended Health • Dental • HSA • Life Insurance • AD&D • Short-term Disability • Cancer Care Program • Travel Insurance • Employee Assistance Plan • Well-Being Program • Retirement Savings Plans • Paid Holidays • Vacation Days • Paid Sick Leave • Critical Illness • Long-Term Disability • Employee Discounts

• Problem solvingPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data Engineering
• AirFlow
• Argo
• Dbt
• Nifi
• Data Architecture
• Data Modeling
• Data Quality
• Python
• R
• Agile Methodologies
• ETL/ELT Pipelines
• Data Orchestration
• AI/ML Deployment
• Problem Solving
• Business Acumen
• Pipelines
• Apache NiFi
• Workflow Management
• Export Control
• Agile Software Development
• Apache Airflow
• Willingness To Learn
• Industrial Security
• Technology Ecosystems
• Agile Methodology
• Artificial Intelligence
• Benchmarking
• Cancer Care
• Certified Business Manager
• Decision Making
• Customer Service
• Computer Science
• Condition-Based Maintenance
• Extract Transform Load (ETL)
• Data Migration
• Discounts And Allowances
• R (Programming Language)
• Leadership
• Innovation
• Python (Programming Language)
• Machine Learning
• Package Management Systems
• Software Engineering
• Security Clearance
• Authorization (Computing)
• Scripting
• Export Administration Regulations
• Reliability
• Thales

• Data & Analytics
• Software
• Engineering
• Technology
• Security & Safety
• Data Engineer
• Software Developers
• Database Administrators

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week