Staff Engineer, Data & Analytics

About Kinaxis

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.

Location

This is a remote position. You can work from home and be located anywhere in Canada.

About the team

• The Data & Analytics team drives Kinaxis’ transformation into a data-driven organization. By designing and governing scalable, modern data ecosystems, we ensure reliable, high-quality, and accessible data that empowers decision-making across the company. Our expertise spans data integration, engineering, governance, business intelligence, and cloud cost optimization, enabling actionable insights, operational efficiency, and new business opportunities.

What you will do

We are seeking a seasoned Staff Engineer, Data & Analytics to play a pivotal role in modernizing and advancing our data ecosystem. This cross-functional role encompasses a wide range of responsibilities, including data integration, data engineering, data modeling, business intelligence, and observability. As part of your journey, you will work closely with business stakeholders and collaborate with team members across the organization. You will modernize internal legacy systems into a cloud-native, modern data stack while also crafting innovative data products and enabling data-driven decision-making across Kinaxis. Your work will support the foundation of Kinaxis' strategic data initiatives by ensuring the quality and reliability of data pipelines that impact operational decision-making and enabling new revenue streams for the organization. Finally, your ability to engage stakeholders, craft compelling data stories, and influence leadership will be critical to your success in this role.

Key responsibilities include the following:

1. Modernization & Development:
   • Transition legacy systems to a cloud-native, modern data stack leveraging tools such as Informatica, Airflow, Postgres, and modern technologies like Snowflake, dbt, BigQuery, Looker.
   • Build innovative, scalable, and reliable data products that support Kinaxis’ strategic goals.
   • Build and maintain both batch and stream-based data pipelines for a wide variety of use cases, including the analysis of application and infrastructure logging data.
   • Implement and oversee rigorous data validation, cleansing, and error-handling mechanisms to maintain high data quality and reliability.
   • Stay up to date on the latest technology trends and best practices as they relate to your role.
2. Collaboration & Solution Design:
   • Partner with internal business stakeholders from different business units and cross-functional teams to design and deliver tailored data solutions.
   • Collaborate with peers specializing in FinOps, Data Architecture, Data Governance, and Cloud Engineering to address diverse organizational needs.
   • Troubleshoot complex data engineering challenges with a focus on scalability and reliability.
   • Mentor and train junior engineers.
3. Insights & Enablement:
   • Develop robust data models and analytics solutions to drive actionable insights.
   • Champion data-driven decision-making by ensuring stakeholders have access to meaningful, high-quality data.
4. Storytelling & Influence:
   • Deliver compelling presentations and narratives to engage stakeholders and influence leadership.
   • Advocate for innovative data strategies that align with Kinaxis’ growth and innovation objectives.

Technologies we use

• Visual Studio, JIRA, Confluence, Git (Bitbucket/stash)
• Datadog, Grafana, and Logstash for Observability
• Python for core development
• SQL and DBT for Data Modelling
• Mulesoft and Informatica for Data Integration
• Postgres, SQL Server, Snowflake, and Google BigQuery as data stores
• Apache Airflow, PowerBI Dataflows, and Github Actions for Orchestration
• Google Cloud Platform (GCP) and Microsoft Azure for Cloud Infrastructure.

What we are looking for

• 5-7 years in data engineering, analytics engineering, software engineering, or related fields.
• Demonstrated expertise in traditional and modern data systems with hands-on experience building scalable, reliable solutions.
• Deep, hands-on experience with tools such as Snowflake, Databricks, Informatica, dbt, BigQuery, Looker, and/or Power BI.
• Expert proficiency in software engineering principles, including CI/CD pipelines, version control (Git), RESTful APIs, and scripting languages (Python, SQL).
• Strong problem-solving abilities with a customer-centric and innovative mindset.
• Exceptional storytelling and presentation skills for engaging stakeholders and influencing leadership.

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.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices 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.

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.