Data Engineering Developer
About The Position
Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times. Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us. Pay at Intact is about much more than just salary. 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.
Requirements
- Bachelor’s degree in computer science, Software Engineering or any equivalent combination of training and experience.
- 4+ 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.
- Bilingualism (French and English) - Need to interact regularly with colleagues from across the country.
- No Canadian work experience required however must be eligible to work in Canada.
Nice To Haves
- Basic understanding of machine learning and artificial intelligence is a nice to have.
Responsibilities
- 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.
Benefits
- 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)
- Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance): 10%
- Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
