Senior Data Engineer (Corporate Data and Analytics)Location:Toronto, Ontario, CanadaPosting Type:Replacement PositionSalary Range:$106,202 - $148,682 (base)Reporting Relationship:Manager, Data EngineeringAs the Senior Data Engineer, you will create data collection, extraction, and transformation frameworks for structured and unstructured data. You will develop data infrastructure systems (e.G., data warehouses, data lakes) including data access points; prepare and manipulate data using Kafka, Talend, MS SQL, Azure Data Factory and other data pipeline tools. You will also organize data into formats and structures that improve reuse and effective delivery to businesses and analytics teams, integrate data across the lake, warehouse and system applications, and be accountable for efficient architecture and system design.What You’ll DoLead the architecture, design and implementation of complex data architecture and integration solutions including best practices for the full development life cycle, coding standards, code reviews, source control management, build processes, testing, and operations.Build and evolve the data service layer and engage the team to bring together components for an outstanding customer offering.Engage with partners to establish clear needs and links to solutions, including setting up prototypes and involving multiple parties in design sessions.Develop data pipelines using modern tools.Create efficient load processes including logging and handling of exceptions, notification to support, and overall visibility operations.Perform database monitoring and collaborate with database administrators to optimize performance.Lead the analysis of database entities, relationships, and attributes to determine efficient design solutions.Collaborate with company partners to ensure adherence to standards for code, design, documentation,



testing and deployment.Collaborate with data governance and strategy to ensure data lineage is well understood and constructed to highlight data reuse and simplicity.Assess new opportunities to simplify the data operation with new tools, technologies, file storage, management and process, and bring forward for team assessment and implementation.What You BringBachelor's degree required (master's an asset) in Software Engineering, Computer Science, or equivalent work experience in a technology or business environment.Minimum of 10 years of experience working in developing and following structured work processes in data engineering.Minimum of 4 years of experience in Data Solutions Architecture.Minimum of 4 years of experience in integration solutions development with any pipeline tools (Informatica, DataStage, SSIS, Talend).Proficiency in Snowflake, Talend, WhereScape, Data Vault 2.0, Kafka, Active Batch, Azure DataBricks, Python, SQL.Experience with cloud platform services such as Azure and AWS.Proficient in multiple programming languages and coding; excellent abilityto design and engineer moderately complex enterprise solutions.Proficient in data management, governance, data design and database architecture; experience manipulating, processing and extracting value from large, disconnected datasets.Proficient in data modelling, data integrations, data orchestration, and supporting methodologies.Proficient in leading large‑scale projects or project steps and communicating progress and approach with technical and non‑technical peers,



clients and leaders.Nice-to-HaveKnowledge of Business Intelligence, Analytics and Reporting.Build dashboards and data visualizations (PowerBI, Collibra).Experience working with DevOps pipelines (Git, Maven, GitLab, Jenkins), continuous integration/delivery, automated testing (unit, functional, performance).What You GetComprehensive Total Rewards Program including bonuses, flexible benefits starting from day 1 and choice of either a health spending account (HSA) or personal spending account (PSA).RRSP matching & defined contribution pension plan.Learning & development programs and resources including unlimited free access to Coursera and an Educational Assistance Program.Holistic approach to well‑being with an Employee Assistance Program, 24/7 virtual health care, wellness events and a supportive workplace culture.Commitment to diversity, equity and inclusion (DEI) through initiatives such as employee inclusion groups, mentorship, DEI learning and workshops, and internal DEI website and newsletter.Company‑wide paid year‑end closure and personal time off (including religious, personal, and volunteer days).Equity & InclusionWe welcome and encourage applications from Indigenous peoples, people of colour, people with disabilities, people of all genders, sexual orientation and intersectional identities. We acknowledge that people from equity‑deserving groups are less likely to apply for jobs unless they feel they meet all the requirements posted. At Moneris, we believe candidates bring experience to their work in many ways. We encourage you to apply and share, in the application form, the transferrable experience you bring, and how this will support your success in this role.AI DisclosureWe may use AI‑enabled tools to screen, select, and assess applications. All AI outputs are reviewed and validated by our recruitment team.#J-18808-Ljbffr

📌 Senior Data Engineer - Snowflake/Azure (Hybrid) - $106,202 - $148,682 A Year (Toronto)
🏢 Moneris
📍 Toronto