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8 results for Data Engineer in Toronto, ON

Data Engineer
  • Toronto, ON
  • onsite
  • Permanent
  • 100000 - 120000 CAD / Yearly
  • <p>Robert Half is working with a global, consumer‑facing organization that’s scaling its data platform to better support marketing, sales, and customer analytics. They’ve recently invested heavily in their data stack and are growing their <strong>Data Engineering</strong> team to meet rising demand from the business.</p><p>This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data.</p><p><br></p><p><strong>What you’ll be doing</strong></p><ul><li>Partner directly with Marketing and Sales teams to understand data requirements</li><li>Design and build data models that power dashboards and analysis</li><li>Build and maintain data pipelines end‑to‑end</li><li>Work with cloud data platforms to ensure performance and reliability</li><li>Collaborate closely with BI and software engineering teams</li></ul><p><strong>Tech environment</strong></p><ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL &amp; Python</li><li>dbt for data modelling</li><li>Fivetran (or similar) for ingestion</li><li>Airflow for orchestration</li><li>BI tooling (Looker‑type stack)</li><li>Strong Salesforce / marketing data footprint</li><li><em>(Marketing Cloud / CRM / customer data experience is highly relevant)</em></li></ul>
  • 2026-07-27T00:00:00Z
Data Engineer
  • North York, ON
  • onsite
  • Permanent
  • 110000 - 125000 CAD / Yearly
  • <p>We are looking for an experienced Data Engineer to build and enhance modern data solutions that support finance-focused business priorities in Toronto, Ontario. This position combines hands-on engineering with technical leadership to strengthen data pipelines, improve model consistency, and enable trusted reporting and advanced analytics. The successful candidate will help modernize legacy data environments within a cloud-based Lakehouse architecture while promoting strong governance, security, and scalability across enterprise data platforms.</p><p><br></p><p><strong>What you&#39;ll be working on:</strong></p><p>• Design, build, and maintain scalable data pipelines and integrations that support finance data products and downstream reporting needs.</p><p>• Lead the modernization of legacy finance data environments by moving critical datasets and workflows into Azure-based Lakehouse platforms.</p><p>• Develop reusable engineering frameworks and standardized data models to improve consistency, efficiency, and long-term maintainability.</p><p>• Collaborate with cross-functional stakeholders to connect finance data assets with broader enterprise platforms for analytics, planning, and AI-driven use cases.</p><p>• Apply data governance, security, and quality standards throughout the data lifecycle to ensure reliable and compliant solutions.</p><p>• Optimize data processing performance for large and complex datasets using tools such as Databricks, PySpark, and Azure-native services.</p><p>• Support the delivery and ongoing enhancement of business intelligence solutions, including data structures used for Power BI reporting.</p><p>• Contribute to platform administration and technical best practices across Azure data services, while documenting work and tracking delivery through project tools.</p><p>• Identify opportunities to streamline data processes and implement improvements that increase operational efficiency and solution reliability.</p>
  • 2026-07-18T00:00:00Z
Data Analyst
  • Toronto, ON
  • onsite
  • Temporary
  • 28.5 - 33 CAD / Hourly
  • We are looking for a Data Analyst to support fraud-focused analytics initiatives within a banking environment in Toronto, Ontario. This Long-term Contract opportunity is ideal for someone who can turn complex data into practical insights, strengthen fraud detection approaches, and work across technical and business teams. The role combines hands-on analysis with pipeline and reporting support, while partnering with stakeholders involved in lending, operations, and regulatory processes.<br><br>Responsibilities:<br>• Examine transactional, application, and behavioural data to uncover fraud trends, emerging risks, and actionable patterns.<br>• Write and optimize SQL-based analysis to support investigations, recurring reporting, and ad hoc business requests.<br>• Contribute to the design and refinement of fraud rules by translating analytical findings into practical detection logic.<br>• Support data engineering activities by helping build, validate, and maintain ETL workflows and dependable data pipelines.<br>• Work with large-scale data environments, including platforms such as Trino and Hive, to prepare and analyze banking data efficiently.<br>• Partner with business stakeholders to gather requirements, map processes, and align analytical outputs with branch and lending operations needs.<br>• Interpret lending data in the context of product structures, underwriting practices, and applicable compliance expectations.<br>• Assist with project delivery activities by coordinating analysis tasks, documenting outcomes, and supporting change-related work within financial services technology initiatives.
  • 2026-07-20T00:00:00Z
Business Analytics/Data Analyst
  • Toronto, ON
  • onsite
  • Temporary
  • 45 - 48 CAD / Hourly
  • We are looking for a Business Analytics/Data Analyst to support data-driven decision-making within a financial services environment in Toronto, Ontario. This Long-term Contract position will focus on uncovering fraud-related trends, improving analytical processes, and translating complex business needs into practical data solutions. The successful candidate will work across analytics, business analysis, and data engineering activities to strengthen operational insight and support effective risk management.<br><br>Responsibilities:<br>• Analyze banking and lending data to identify suspicious activity, emerging fraud patterns, and behavioural indicators that support stronger detection strategies.<br>• Build, refine, and maintain analytical datasets and data pipelines using SQL and big data tools such as Trino and Hive to support reporting and investigation needs.<br>• Partner with business stakeholders to gather requirements, document workflows, and map current processes related to branch and lending operations.<br>• Develop and enhance business rules and analytical logic that improve the identification of application fraud and other financial risks.<br>• Translate business objectives into clear data and reporting solutions that support operational teams and decision-makers.<br>• Contribute to project delivery activities within financial services technology initiatives, including planning, coordination, and change-related support where required.<br>• Apply banking knowledge to assess lending practices, underwriting considerations, and compliance-related data requirements in analysis work.<br>• Prepare insights, findings, and recommendations for stakeholders through clear documentation, reporting, and presentations.
  • 2026-07-20T00:00:00Z
Sr. Data Analyst
  • North York, ON
  • onsite
  • Temporary
  • 45 - 46 CAD / Hourly
  • <p>We are looking for a Senior Data Analyst to support a non-profit organization in Toronto, Ontario through a Contract opportunity. In this role, you will turn large volumes of financial and operational data into clear reporting, practical insights, and user-friendly dashboard solutions for business stakeholders. The position is ideal for someone who combines strong analytical thinking with advanced spreadsheet and reporting expertise, and who can communicate findings effectively to both technical and non-technical audiences.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain high-volume reports and sophisticated spreadsheet models that support finance and business decision-making.</p><p>• Work closely with stakeholders to identify reporting needs, define measurable outcomes, and convert business questions into technical reporting requirements.</p><p>• Create interactive dashboards in Power BI that present complex data in a clear and accessible format for non-technical users.</p><p>• Use Power Query to prepare, transform, and organize data from multiple sources for accurate and efficient analysis.</p><p>• Investigate data quality issues, perform root-cause analysis, and resolve inconsistencies that affect reporting reliability.</p><p>• Present analytical findings and recommendations in a clear manner to business partners and leadership teams.</p><p>• Support data best practices by guiding entry-level team members or end users on reporting processes and the efficient use of Power Query tools.</p>
  • 2026-07-13T00:00:00Z
Infrastructure Engineer
  • Toronto, ON
  • onsite
  • Temporary
  • 45 - 55 CAD / Hourly
  • We are looking for an Infrastructure Engineer to support a leading Financial Services organization in Toronto, Ontario. This Long-term Contract opportunity is well suited to a mid-level candidate who brings strong hands-on experience across cloud services, core infrastructure, networking, and operational support. The role combines project delivery with day-to-day administration, requiring someone who can strengthen platform reliability, contribute to technical improvements, and work effectively with both technical teams and business partners. This position follows a hybrid model with 1-2 days per week in the office.<br><br>Responsibilities:<br>• Oversee the administration, configuration, and ongoing support of cloud and infrastructure environments, including Microsoft 365 platforms, service management tools, and related enterprise systems.<br>• Maintain and enhance network operations across LAN, WAN, firewall, and wireless infrastructure using technologies such as Cisco, Checkpoint, and Aruba.<br>• Lead technical workstreams for infrastructure initiatives by planning implementations, assessing dependencies, and coordinating delivery with project managers, developers, database specialists, vendors, and other stakeholders.<br>• Diagnose complex infrastructure issues, perform root cause analysis, and implement sustainable solutions to improve service stability and performance.<br>• Prepare clear technical documentation for solution design, operational procedures, support activities, and project milestones throughout the delivery lifecycle.<br>• Support governance, controls, and operational best practices by contributing to asset management, incident handling, change processes, and vendor coordination.<br>• Participate in modernization efforts, remediation activities, system upgrades, and platform enhancements that improve resiliency, security, and business alignment.<br>• Monitor infrastructure health, capacity, and alerting across core systems, and help develop recovery-focused approaches including disaster recovery readiness.<br>• Apply security principles and sound engineering practices to infrastructure design, administration, and support activities.<br>• Contribute to both business-as-usual operations and project-based assignments while managing priorities effectively in a fast-paced environment.
  • 2026-07-21T00:00:00Z
Software Engineer (.NET)
  • Toronto, ON
  • onsite
  • Permanent
  • 100000 - 130000 CAD / Yearly
  • <p>We are looking for a <strong>Software Engineer (.NET) </strong>to join a collaborative development team in Toronto, Ontario. This role focuses on building and enhancing backend applications, contributing to high-quality software delivery, and working closely with cross-functional partners in an Agile environment. The ideal candidate brings strong programming expertise, a practical approach to problem-solving, and a commitment to delivering reliable, scalable solutions.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Design, build, and maintain .NET-based software components that support business and technical objectives.</p><p>• Collaborate with product, QA, and engineering teams to translate requirements into effective application features and backend services.</p><p>• Investigate defects, resolve technical issues, and improve overall application stability through timely troubleshooting and bug resolution.</p><p>• Participate in Agile ceremonies, provide development updates, and contribute to iterative planning and delivery activities.</p><p>• Develop and optimize integrations, APIs, and supporting services to ensure dependable system performance and maintainability.</p><p>• Contribute to testing strategies, including experimentation and validation approaches such as A/B testing where appropriate.</p><p>• Use tools such as Jira to track work, manage development tasks, and maintain clear documentation of progress.</p><p>• Support ongoing enhancements to existing platforms and contribute to technical improvements as systems and processes evolve.</p>
  • 2026-07-09T00:00:00Z
Java Software Engineer
  • Toronto, ON
  • onsite
  • Permanent
  • 100000 - 130000 CAD / Yearly
  • <p>We are helping a growing and highly innovative financial services organization with a new<strong> Java Engineer</strong> to join their Payments Technology team. This is an exciting opportunity for a developer who enjoys solving complex problems, wearing multiple hats, and gaining exposure to a broad range of technologies, projects, and business functions. You&#39;ll work closely with senior leaders, product teams, operations, compliance, and engineering stakeholders to help build and enhance critical payment platforms supporting ACH, Wires, Real-Time Payments (RTP), FedNow, and other modern payment networks.</p><p><br></p><p>We&#39;re looking for someone who is resourceful, entrepreneurial, curious, and excited by the opportunity to make a visible impact within a fast-moving environment.</p><p>What you will do and how you will make an impact …</p><ul><li>You will play a key role in the development and evolution of modern payment processing platforms that support critical banking and financial transactions.</li></ul><p><strong>In this position, you will:</strong></p><ul><li>Design, develop, and maintain backend applications and APIs using Java and Spring Boot.</li><li>Work across the full software development lifecycle, from requirements gathering and design through implementation, testing, deployment, and production support.</li><li>Partner with Product, Operations, Compliance, QA, and engineering teams to deliver secure and scalable payment solutions.</li><li>Develop integrations with banking partners, third-party providers, and internal systems.</li><li>Support highly reliable, secure, and compliant transaction processing platforms.</li><li>Participate in architecture discussions, code reviews, troubleshooting, and continuous improvement initiatives.</li><li>Contribute to monitoring, observability, and operational excellence efforts alongside DevOps and production support teams.</li></ul><p><strong>Why we are excited about you ... </strong></p><ul><li>You thrive in environments where you can take ownership, solve problems independently, and continuously learn new technologies and business domains.</li><li>You are naturally curious and enjoy exploring how complex systems work.</li><li>You take initiative and can navigate ambiguity with confidence.</li><li>You understand financial services, and want exposure to modern payments technology.</li></ul><p><br></p>
  • 2026-07-09T00:00:00Z