Data Services Consultant Associate (May or September 2027 - Toronto or Calgary)

A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. About Business Unit: IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. As a Data Services Consultant Associate at IBM, you’ll work with clients to co‑create solutions to real‑world challenges by using best‑practice technologies, tools, techniques, and products to translate system requirements into the design and development of customized systems. In addition to application development, you may support data‑focused components of client solutions. This includes assisting in the design and maintenance of data models, contributing to data pipeline development, writing SQL queries, and using Python to automate data processing tasks. You may collaborate with data engineers and analysts to improve data quality, reliability, and performance across data systems. Exposure to cloud data platforms, modern data engineering practices, and ETL or ELT workflows is considered valuable in this role. When working in this abstract, fast‑paced, and continuously changing tech world, resilience, commitment, and curiosity serve as the foundation for success as an IBM Consultant. You will participate in many aspects of the development lifecycle, such as design, data modeling, code implementation, testing, pipeline building, and support. You could also become a contributor within open‑source communities across multiple disciplines. In your role, you will be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground‑breaking impact for the wider business, our external clients, and their customers. Our culture of flexibility and freedom supports long‑term career growth and continuous learning in an environment that highlights your unique skills and experience. This opportunity is based in Toronto or Calgary and supports Associate Consultant hiring cohorts commencing in May 2027 and September 2027. We are recruiting for both start dates and encourage eligible candidates to apply. Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date. Please note that MBA and PhD graduates are not eligible for this program. Experience or coursework with AWS, Azure, Google Cloud, IBM Cloud, or other cloud platforms Knowledge of Artificial Intelligence or Machine Learning concepts in cloud or on‑premises environments Understanding of DevSecOps and Agile methods Ability to communicate complex situations clearly and simply Initiative to actively seek new knowledge and expand skills Python programming, including use in data processing or automation SQL skills for querying, transforming, and modeling data Optional exposure to data engineering tools or concepts such as data pipelines, ETL/ELT workflows, and data modeling techniques Experience with or knowledge of API development, containers, and version control Experience with or exposure to Java, JavaScript, Golang, Docker, Kubernetes Git or other version control systems Familiarity with CI/CD tools such as Jenkins Optional familiarity: Understanding of event‑driven systems such as Kafka or Flink Knowledge of Agile practices such as Scrum, User Stories, Backlog Management, Use Cases, Requirements gathering, and tools such as JIRA and Confluence Snowflake, Databricks, or similar modern data platforms is considered an asset Exposure to or interest in Design Thinking and Agile development methodology A passion for innovative ideas, coupled with the ability to understand and assimilate different points of view Teamwork, software development Agile, Scrum, User Stories, Product Backlog, Roadmap, Use Cases, Requirements, JIRA, Confluence Coding, strong communications