Data Engineering Developer

About

CIMA+ is seeking a passionate Data Engineering Developer who is driven to transform complex data into high‑value, practical solutions for our clients. The selected candidate will play a key role in the evolution of our client services, as well as our data products and platforms. They will contribute to a wide variety of projects, which may include the development of modern cloud‑based Lakehouse data platforms, leveraging data from IoT systems and real‑time streams, simulation and advanced computation engines, as well as statistical modeling and machine learning. Working within multidisciplinary teams, the developer will contribute to the design and optimization of data pipelines, including data cleaning, transformation, validation, and delivery. They will operate in advanced technological environments such as enterprise cloud analytics platforms and event‑driven architectures.

Primary Responsibilities

• Design analytical solutions for clients: performance models, predictive analytics, simulations, dashboards, and monitoring tools
• Develop and orchestrate robust data pipelines (ETL/ELT) feeding data platforms and analytical models
• Program advanced analytical processing in Python (PySpark, Snowpark, pandas, polars, numpy, scikit‑learn)
• Design and maintain analytical data models (statistical, event‑based, operational metrics)
• Integrate analytics into data products and platforms via APIs, microservices, and cloud solutions
• Implement data quality, validation, and traceability mechanisms, and interpret results for diverse audiences
• Analyze and transform large volumes of data from simulations, IoT, real‑time streams, and client systems
• Contribute to defining modern analytical architectures leveraging Snowflake, Microsoft Fabric, Microsoft Azure technologies, and event platforms such as Kafka

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Software Engineering, Data Science, or a related field
• 5 to 7 years of relevant experience in engineering, data processing, or related fields
• Strong proficiency in analytical programming languages and distributed computing engines: advanced SQL, Python (dataframes), Spark (Standalone or PySpark API)
• Knowledge of dbt is an asset
• Familiarity with Infrastructure as Code, preferably Terraform
• Experience with large‑scale data extraction and transformation (batch ETL/ELT, “Cold Path”) in modern cloud environments (Azure Data Factory, Snowflake, Fabric, or equivalent)
• Understanding of event‑driven data architectures and real‑time streaming (“Hot Path”) such as Kafka, Event Hubs, and low‑latency processing (an asset)
• Excellent ability to simplify and explain complex data flows to a variety of clients
• Strong scientific rigor, analytical mindset, autonomy, and attention to detail
• Bilingual in French and English to support clients across Canada

Benefits

• Comprehensive Group Benefits available from day one for all permanent employees working at least 20 hours per week
• Employee and Family Assistance Program
• Retirement Savings Plan (RRSP) with up to 4 % employer contribution
• Annual opportunity to purchase shares for all employees (employee‑owned company)
• Flexible work schedule in a hybrid work mode
• Work/Life balance policy across Canada
• 3–5 weeks of vacation, based on years of relevant experience
• Tailored training to improve your existing skills

Additional Information

Compensation for this role is based on the candidate’s experience, skills, and qualifications, while maintaining internal equity. The level and associated salary may vary depending on the candidate’s profile.

CIMA+ uses an applicant tracking system that includes an automated match score feature, but hiring decisions are made through human review.

Ethics and integrity are fundamental values at CIMA+. The company is committed to equal access to resources and opportunities for candidates regardless of identity, and encourages applications from women, Indigenous people, people with disabilities, visible minorities, and other under‑represented groups. Accommodations are available on request.