Senior Data Engineering Developer

Pay at Intact is about much more than just salary.

• Flexible work arrangements and a hybrid work model

• Possibility to purchase up to 5 extra days off per year

• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

118,700 - 145,100

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We are looking for someone with data engineering with a strong software engineering background, analysis and technical leadership backgrounds for our teams.

Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us?

Here’s a sneak peak.

On a day-to-day basis, we primarily use cloud Databricks, Amazon Web Services, and Snowflake. Python is our favorite language! We are responsible for ingesting data from many difference sources, but also build complex transformation steps on the data, to provide our scientists quality data that is ready for machine learning and GENAI.

In this mission, you will be supported by business analysts and architects. We use Agile as our organizational methodology, with the support of our product owners and our scrum masters.

What you'll do here:

• With your team, you will participate in the analysis design, development, and delivery of efficient, effective, and secure data pipelines.

• Building on your experience, you will have the opportunity to participate in the implementation of industry best practices.

• Through your leadership, you will be an agent of change who will grow our data engineering practice to make our lab an industry benchmark.

What you bring to the table:

• Bachelor’s degree in computer science, Software Engineering or any equivalent combination of training and experience.

• 6+ years experience in Software Engineering / Data Engineering / ETL development / Data Warehousing.

• Understanding of software design pattern, OOP and SOLID principles.

• Strong proficiency in the Python programming language and the PySpark Framework.

• Basic understanding of machine learning and artificial intelligence is a nice to have.

• For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.

• No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Il s'agit d'un nouveau rôle au sein de notre équipe en plein croissance | This role is a new member of our growing team.