Senior Data Engineer joining Reconomy to design, build and optimize data pipelines for an international circular economy specialist.
About the role
- Senior Data Engineer / Snowflake Architect leading the design and optimization of data solutions. Working closely with clients and internal teams to build scalable architectures in a hybrid environment.
Responsibilities
- Lead the design, development, and optimization of Snowflake-based data solutions for enterprise clients
- Work closely with the client's internal architect and delivery teams to shape scalable, secure, and high-performing data architecture
- Confidently challenge technical decisions when needed, bringing a strong point of view grounded in Snowflake best practices and modern data architecture principles
- Assess current-state data platforms, pipelines, and patterns, then identify opportunities for improvement, simplification, modernization, and optimization
- Design and implement robust batch and near real-time data pipelines to support analytics, reporting, and advanced data use cases
- Develop and optimize data transformation layers using SQL, Python, dbt, and related modern data engineering practices
- Drive Snowflake platform excellence across performance tuning, workload optimization, cost efficiency, data modeling, security and governance, and orchestration and automation
- Proactively introduce and evaluate relevant Snowflake capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, data sharing, and other platform enhancements
- Contribute to platform strategy discussions, including articulating the strengths and tradeoffs of Snowflake versus other modern data platforms
- Partner with engineers, analysts, architects, and business stakeholders to deliver production-ready solutions in a fast-paced consulting environment
- Support pre-sales, discovery, and technical advisory conversations when needed
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
- 7+ years of experience in data engineering, cloud data, or modern data platform roles
- Strong hands-on experience with Snowflake development and architecture
- Snowflake certification: SnowPro Core or any SnowPro Advanced certification
- Strong command of advanced SQL and solid experience with Python for transformation, automation, and pipeline development
- Proven experience designing and delivering end-to-end production data solutions
- Strong understanding of data warehouse, lakehouse, and modern cloud data architecture patterns
- Experience working directly with client stakeholders, architects, and technical leads
- Ability to operate with confidence and credibility in front of client teams, including the ability to push back constructively and influence architecture direction
- Experience with dbt or similar transformation and testing frameworks
- Experience with ingestion and integration patterns using APIs, file-based ingestion, ELT platforms such as Fivetran or equivalent, and cloud-native services
- Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
- Experience working in Agile / Scrum delivery environments
Benefits
- A strong culture of innovation and entrepreneurship
- Occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts and other special events
- Group insurance for you and your family members
- RRSP and DPSP participation plan
- Monthly Wellness Allowance
- Reimbursement of telecommunication costs
- 4 weeks of paid vacation
- Language courses (French & English)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
Medior Data Engineer handling Azure migrations for a major urban mobility client. Focused on data pipeline development and ensuring platform reliability with cutting - edge technologies.
Developing ML and computer vision solutions for cutting - edge autonomous vehicle dataset pipeline at Mobileye. Collaborating across teams for data curation and advanced perception algorithms.
Data Migration Lead in a hybrid role managing data migration for a major transformation programme in the media sector. Collaborating with various teams to ensure data integrity and successful migration.
Consultant ML & DataOps at Smile integrating data science projects for major clients. Designing MLOps solutions and enhancing data governance in a collaborative environment.
Data Engineer developing and maintaining data pipelines for Coolbet’s analytical services. Working within an Agile framework to ensure data reliability and efficiency.
API Data Engineer developing innovative data - driven solutions and advancing data architecture for AI Control Tower. Building and integrating APIs and data pipelines to support organizational needs.
Journeyman Data Architect supporting Leidos' enterprise data and analytics program for the Department of War. Collaborating on solutions for data architecture, cloud environments, and governance.
Senior Software Engineer developing backend services and data infrastructure for integrated products at Booz Allen. Collaborating with a small elite team to deliver reliable and scalable services.