Croesus, FINTECH Leader in Canada, and its 200 passionate employees, is a master in the art of software development (portfolio management of the financial & banking sector).

Here is your chance to join a human-sized environment with the advantages of a large company.

2020 is a special year. Croesus is proudly agile: teleworking mode & office work space (secure).

Here is the offer for our  Croesussiens & Croesussiennes!

• Competitive salary
• Corporate incentive plan
• Flexible hours / Teleworking
• BBQ dinner / Treats delivered to your house
• Sports program: Croesus gym / Virtual training (Yoga & exercises) offered 2X week
• Group Insurance
• Telemedicine (super useful for the family 😉)
• Public transport & BIXI 
• Group RRSP
• and many more...

The data engineer is responsible for the analysis, development and delivery of high quality Croesus environments.

Your daily life:

• Design innovative technological solutions and proofs of concept that address specific internal issues.
• Support internal and external teams (for example, students) within the framework of Croesus Lab projects.
• Keep abreast of technological and scientific advances in areas related to the company’s sectors of activity.
• Develop and maintain the laboratory infrastructure.
• Document the company’s technological choices and participate in knowledge transfer and training of other internal teams.
• Participate in the drafting of reports for the Scientific Research and Experimental Development Tax Incentive Program (SR&ED), patents, and scientific publications in collaboration with the persons concerned.
• Participate in various internal and external innovation initiatives.
• Participate in conferences and events related to technology or finance.

• Experience in development: C #, Java or other;
• Mastering scripting languages ​​such as SQL / Bash / Shell / Perl / Python on Linux;
• Experience in databases;
• Experience in data processing;
• Rigor and thoroughness
• Ability to solve problems
• Bilingualism (French and English);
• Ability to work in a multidisciplinary team.

Assets:

• Knowledge in DataScience, Data Lake;
• RedShitf, Snowflake;
• ETL tools.