Position overviewThe Data team is on a mission to transform raw data into actionable insights that drive our business forward. As a Senior Data Engineer, you will be at the heart of this mission, developing and owning end-to-end data pipelines and products that empower teams across the company. You will take on squad-level data projects – from designing robust data ingestion processes to building data models and analytics layers – ensuring that stakeholders have access to reliable, timely data for decision-making. You will collaborate closely with data analysts, product managers, and software engineers to integrate data solutions into our products and workflows. In this role, you'll also contribute to data governance initiatives and share best practices, while mentoring junior data engineers and fostering a culture of continuous improvement within the team.Key responsibilitiesDesign and implement efficient ETL/ELT pipelines to ingest, transform, and load data from various sources, ensuring high reliability and scalabilityBuild and evolve key datasets and analytics layers across company's product areas, making data easily accessible and usable for analysis and decision-makingAnalyze data flows and dependencies to design data models optimized for efficient storage and retrievalOptimize and tune data pipelines for performance, scalability, and reliability as data volumes growIntegrate with third-party systems and APIs to source or distribute data, expanding our overall data capabilitiesCollaborate with product managers, software engineers,



and analysts to understand data requirements and deliver effective data solutions that support product features and business decisionsImplement data governance best practices to ensure data quality, integrity, and security across all data assetsMaintain explicit documentation for data pipelines, datasets, and data lineage to promote transparency and knowledge sharingStay up-to-date with industry trends in data engineering, and proactively recommend improvements to our data infrastructure and workflowsMentor and guide junior data engineers, sharing knowledge and best practices to strengthen the team's capabilitiesRequirementsB.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)5+ years of experience in data engineering or a closely related roleProficiency in SQL and Python, with proven experience working with modern data warehouses (e.G. Snowflake, Databricks, BigQuery, etc)Hands-on experience building and maintaining ETL/ELT pipelines, including using workflow orchestration tools (such as Airflow or dbt)Experience with cloud platforms (GCP, etc.) and their data processing and storage servicesSolid understanding of data warehousing concepts, data modeling techniques, and data architecture best practices (including data quality and governance)Proven ability to design solutions for complex data problems and drive data projects from conception to productionExcellent communication and collaboration skills, with the ability to work effectively across teams and explain data concepts to non-technical stakeholdersSeniority levelAssociateEmployment typeFull-timeJob functionInformation TechnologyIndustriesSoftware Development

📌 Senior Data Engineer (Montreal River)
🏢 Akkodis
📍 Montreal River