About Kinaxis Are you looking to join an innovative, market‑leading company where you can truly elevate your career? At Kinaxis we are serious about culture, technology, customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you! 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, six global offices, and a best‑in‑class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees toward solving some of the biggest challenges facing supply chains today. Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our AI‑infused platform provides full transparency and visibility across end‑to‑end supply chains, enabling our customers to make faster, better decisions. We are trusted by global brands to provide the agility and predictability needed to navigate volatility and disruption. 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. About The Team Our Data Ingestion team plays a key role in that mission by building the tools necessary to get data in and out of our intelligent platforms as easily as possible for our users. We’re continuously improving the speed, flexibility, and scale of data ingestion by adopting new technologies and approaches in an ever‑evolving data landscape. We are a small, highly collaborative Agile team looking to add another member. Location You must be in the Ottawa, Canada office at least three days a week. Term Duration This is a full‑time position, 8 or 12‑month, starting September 2026. Co-op / Intern Eligibility This position is open to co‑ops and interns. To be eligible, you must be currently enrolled in full‑time education or be a recent/upcoming graduate within 12 months of the placement end date. Compensation $25.24-$37.02 hourly rate. The final offer within this range will reflect the candidate’s skills, year of education, and experience. Vacancy Status This is an existing job vacancy. What you will do Design and develop new components of our data ingestion, contributing to all phases of development and deployment in private and public clouds. Build secure SaaS enterprise software services and applications. Collaborate closely with your agile team members and other stakeholders. Participate in our agile process to continually improve delivery, quality, and reliability. May perform other projects as required. What we are looking for Demonstrated proficiency with any common programming language: Java, JavaScript/React, C#, Python. Knowledge/experience in object‑oriented design, data structures, and algorithms. Experience in relational databases (Postgres, Oracle, MySQL). Detail‑oriented and strong analytical skills. Strong communication skills and ability to articulate complex ideas and concepts. Demonstrated ability to adapt and learn in a fast‑paced environment. Things that would definitely help Experience building full‑stack applications. Some exposure to dev‑ops concepts with containerization (e.g.: Docker, Kubernetes, Helm). Experience with ETL tools, big data, and data integration. Benefits Flexible vacation and Kinaxis Days (company‑wide days off) Flexible work options Physical and mental well‑being programs Regularly scheduled virtual fitness classes Mentorship programs, training, and career development Recognition programs and referral rewards Hackathons EEO Statement 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 This contact information is for accessibility requests only and cannot be used to inquire about the status of applications. #J-18808-Ljbffr