Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

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Ottawa, Canada-Hybrid

Other Canadian Locations-Remote

About The Team

Kinaxis is looking for a talented data engineer to work within the Machine Learning R&D team. The team is

responsible for applying machine learning algorithms to develop intelligent supply chains. The uniqueness of the

team is that it performs at the intersection of technology and real business problems. You will contribute to the

product that delights customers world-wide!

What you will do

If you love solving complex problems, analyzing complex datasets, finding insights from data, creating data model

and learning new technologies, this role is for you.

As a data engineer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term issues such as maintainability, scalability, and quality.
You are an experienced software engineer who is passionate about delivering software that supports and facilitates business operations of AI solutions. You have a strong understanding of Cloud technologies and Cloud agnostic software architecture and have experience troubleshooting high scale solutions that are deployed and upgraded on a regular cadence.
You have a passion for software reliability and know how to ensure user needs are met through cross- functional stakeholder understanding and engagement. You enjoy understanding both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end.
You have a strong interest in resolving issues as well as designing effective methods for troubleshooting, preventing, and debugging problems in software systems, getting to the root cause of issues, meeting the users’ needs and influencing the product development roadmap. You are excited about finding ways to develop product capabilities and tools that increase robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues.
You are fluent in SQL & Python, have experience working with distributed computing, big data frameworks and are very knowledgeable about Kubernetes and Docker. You also have experience working with and building Machine Learning pipelines and models. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.
You are a team player, a quick starter, and a problem solver. You work well in a cross-functional team and can listen and contribute to discussions. Your primary focus is analyzing complex datasets, finding insights from data, creating data model and ETL pipelines that are required as part of the development of robust, scalable, and data-intensive Machine Learning software systems that drive business critical customer value.

What we are looking for

BS or MS in Computer Science/Software Engineering or equivalent work experience.
Experience with data modelling, data streaming, data transformation, modern data stores, building data pipelines (ETLs).
Experience with data management and data engineering in Production Systems.
You have strong customer orientation and understand the system end-user perspective.
Understand project scoping documents & client datasets, drive data discovery sessions with clients (including Q&A and follow-ups).
Carry out data exploration & analysis (EDA).
You have strong software engineering skills and strong programming skills in Python/Pandas/ML Libs.
Proficiency in SQL – advanced, window functions, aggregate functions, joins, etc.
You have experience with the use of Kubernetes at scale, Docker, and big data frameworks.
You have a proven understanding of distributed computing architectures.
You have excellent communication skills with the ability to clearly explain technical terms to non-technical audience.
Experience in Kubernetes ecosystem like Helm and Argo workflow, CI/CD.
Experience with Machine Learning Solutions and productization.
You enjoy solving puzzles and troubleshooting issues.
You enjoy multi-tasking and providing significant positive impact to the business through your work.
Nice to have:
Data manipulations in python – wrangling & manipulating large datasets in spark & pandas dataframes.
Supply chain domain knowledge - Supply Chain Management, especially demand planning aspects, CPG, Manufacturing etc.
Knowledge of how drivers influence demand, e.g., pricing, promotions, initiatives, external factors like weather patterns etc.
Understanding of the ML / Modelling process, Feature Generation, Training, Hyper-parameter tuning, predictions (scoring).

#Intermediate,

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Yamaha, P&G, Honda, and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
Flexible work options
Physical and mental well-being programs
Regularly scheduled virtual fitness classes
Mentorship programs and training and career development
Recognition programs and referral rewards
Hackathons

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.