The job you are looking for is no longer available. Check out similar results below.

7 results for Databricks Developerengineer in Mississauga, ON

Data Engineer

Toronto, ON
onsite
Permanent
100000 - 120000 CAD / Yearly
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 Data Engineering team to meet rising demand from the business.This is an intermediate‑level role where you’ll work closely with marketing stakeholders, BI, and software engineering to deliver trusted, analytics‑ready data. What you’ll be doing<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>Tech environment<ul><li>Cloud data warehouse (AWS‑based, Redshift‑style)</li><li>SQL & 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>(Marketing Cloud / CRM / customer data experience is highly relevant)</li></ul>
2026-06-25T00:00:00Z

Data Engineer

North York, ON
onsite
Permanent
110000 - 125000 CAD / Yearly
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. What you'll be working on:• Design, build, and maintain scalable data pipelines and integrations that support finance data products and downstream reporting needs.• Lead the modernization of legacy finance data environments by moving critical datasets and workflows into Azure-based Lakehouse platforms.• Develop reusable engineering frameworks and standardized data models to improve consistency, efficiency, and long-term maintainability.• Collaborate with cross-functional stakeholders to connect finance data assets with broader enterprise platforms for analytics, planning, and AI-driven use cases.• Apply data governance, security, and quality standards throughout the data lifecycle to ensure reliable and compliant solutions.• Optimize data processing performance for large and complex datasets using tools such as Databricks, PySpark, and Azure-native services.• Support the delivery and ongoing enhancement of business intelligence solutions, including data structures used for Power BI reporting.• Contribute to platform administration and technical best practices across Azure data services, while documenting work and tracking delivery through project tools.• Identify opportunities to streamline data processes and implement improvements that increase operational efficiency and solution reliability.
2026-07-18T00:00:00Z

Database Developer

Mississauga, ON
onsite
Temporary
45 - 65 CAD / Hourly
We are looking for an experienced Database Developer to join a non-profit organization in Mississauga, Ontario on a Long-term Contract basis. This position will play a key role in strengthening reporting capabilities by building reliable data solutions and translating business needs into effective Power BI outputs. The successful candidate will bring strong technical expertise in Microsoft SQL Server and modern reporting tools, along with the ability to work with finance-related datasets in a structured and accurate manner. Responsibilities: • Transform existing reporting assets into Power BI solutions, including redesigning selected reports and developing new dashboards where needed. • Review current database queries, scripts, and reporting logic to identify opportunities for improved performance, accuracy, and maintainability. • Build and refine Power BI data models to support clear, meaningful, and scalable reporting for business stakeholders. • Use Power Query and related development techniques to prepare, shape, and connect data from multiple sources for analysis. • Develop, test, and optimize SQL components such as stored procedures, complex queries, and database objects to support reporting needs. • Partner with internal teams to deliver approximately 10 to 15 finance-focused reports with a high standard of quality and consistency. • Contribute to reporting project planning by helping track priorities, timelines, and deliverables throughout the engagement. • Support broader data and reporting initiatives by applying best practices in performance tuning, indexing, and data warehousing.
2026-07-22T00:00:00Z

Java Software Engineer

Toronto, ON
onsite
Permanent
100000 - 130000 CAD / Yearly
We are helping a growing and highly innovative financial services organization with a new Java Engineer 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'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. We're looking for someone who is resourceful, entrepreneurial, curious, and excited by the opportunity to make a visible impact within a fast-moving environment.What you will do and how you will make an impact …<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>In this position, you will:<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>Why we are excited about you ... <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>
2026-07-09T00:00:00Z

Senior DevOps Lead

Oakville, ON
onsite
Temporary
100 - 110 CAD / Hourly
We are looking for a Senior DevOps Lead to support a long-term contract opportunity in Oakville, Ontario within the energy and natural resources sector. This role is suited to a senior technical leader who can shape cloud and DevOps strategy, strengthen secure delivery practices, and guide architecture decisions across complex environments. The successful candidate will work closely with key stakeholders and technical leads while providing mentorship to team members and helping advance scalable, reliable platform operations. This is a 6 month contract role to start, hybrid (2 days in office) for our client in Oakville, Ontario. Responsibilities:• Define and drive the overall DevOps and cloud roadmap, with a strong emphasis on Azure-based solutions and enterprise delivery practices.• Lead the design and continuous improvement of CI/CD pipelines to enable efficient, secure, and dependable software releases.• Embed security considerations into build, deployment, and operational workflows to promote stronger governance across the delivery lifecycle.• Partner with internal stakeholders and existing technical leadership to align platform strategy with business and operational priorities.• Provide high-level architectural guidance for infrastructure, automation, and deployment models in complex cloud environments.• Mentor engineers and cross-functional team members by sharing best practices in DevOps, cloud operations, and modern delivery methods.• Oversee configuration management and deployment standards to improve consistency, traceability, and system stability.• Support large-scale environments by identifying opportunities to optimize performance, resilience, and operational efficiency.
2026-07-22T00:00:00Z

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. Responsibilities: • Analyze banking and lending data to identify suspicious activity, emerging fraud patterns, and behavioural indicators that support stronger detection strategies. • 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. • Partner with business stakeholders to gather requirements, document workflows, and map current processes related to branch and lending operations. • Develop and enhance business rules and analytical logic that improve the identification of application fraud and other financial risks. • Translate business objectives into clear data and reporting solutions that support operational teams and decision-makers. • Contribute to project delivery activities within financial services technology initiatives, including planning, coordination, and change-related support where required. • Apply banking knowledge to assess lending practices, underwriting considerations, and compliance-related data requirements in analysis work. • Prepare insights, findings, and recommendations for stakeholders through clear documentation, reporting, and presentations.
2026-07-20T00:00:00Z

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. Responsibilities: • Examine transactional, application, and behavioural data to uncover fraud trends, emerging risks, and actionable patterns. • Write and optimize SQL-based analysis to support investigations, recurring reporting, and ad hoc business requests. • Contribute to the design and refinement of fraud rules by translating analytical findings into practical detection logic. • Support data engineering activities by helping build, validate, and maintain ETL workflows and dependable data pipelines. • Work with large-scale data environments, including platforms such as Trino and Hive, to prepare and analyze banking data efficiently. • Partner with business stakeholders to gather requirements, map processes, and align analytical outputs with branch and lending operations needs. • Interpret lending data in the context of product structures, underwriting practices, and applicable compliance expectations. • 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