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Thales

Data Engineer

Thales is hiring a Data Engineer in Ottawa, Canada. Level rates it ; you can apply on Thales.

Level's read on this job

  • Level rates this data engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Airflow, Argo and dbt among its tools and skills.
  • Level classes it as a senior role.
  • Thales has 3,600+ other open roles on Level.

AI in this role

Build data foundation solutions, design data architecture, deploy machine learning models, and implement automated data pipelines.

AirflowArgodbtNifi
data-engineeringdata-architectureetldata-modelingmachine-learning
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

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program.

• 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.

How we rate this

Data Engineer at Thales rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData ArchitectureETLData ModelingMachine learningAirflowArgodbt

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$145k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data architecture was part of your work. What did you do?
  3. Tell me about a project where etl was part of your work. What did you do?
  4. Tell me about a project where data modeling was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Architecture, ETL, Data Modeling, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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