8 results for Big Data Engineer jobs
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 & 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>
- 2026-06-25T00:00:00Z
Data Scientist
- Cambridge, ON
- remote
- Contract / Temporary
-
60 - 75 CAD / Hourly
- We are looking for a Data Scientist to support market and performance analytics within the automotive sector in Cambridge, Ontario. This Long-term Contract opportunity is well suited to someone who combines strong statistical thinking with practical model-building experience and can translate complex data into meaningful business insight. The role focuses on analyzing market, sales, and inventory information to improve decision-making, while working with tools such as Python, Jupyter, Alteryx, and low-code BI platforms.<br><br>Responsibilities:<br>• Design and refine statistical models that connect market indicators with sales and inventory trends to generate actionable analysis.<br>• Examine data pipelines and source relationships to ensure inputs are reliable, consistent, and suitable for modelling activities.<br>• Build and test analytical solutions in Python, using notebook-based workflows to explore patterns, validate assumptions, and assess results.<br>• Evaluate model effectiveness through appropriate performance measures and recommend adjustments to strengthen analytical outcomes.<br>• Partner with business and analytics stakeholders to shape data-driven approaches that support reporting and strategic planning.<br>• Apply machine learning techniques where appropriate to enhance forecasting, segmentation, or performance analysis needs.<br>• Use Alteryx and business intelligence tools to prepare data, streamline analysis, and present findings in an accessible format.<br>• Communicate technical observations and modelling results clearly to support informed operational and commercial decisions.
- 2026-06-17T00:00:00Z
Data Scientist
- North York, ON
- onsite
- Permanent
-
100000 - 120000 CAD / Yearly
- <p><strong><u>This job posting is for a current vacancy with our client.</u></strong></p><p><br></p><p>We are seeking an experienced Data Scientist for our client's growing Analytics team. The Data Scientist will be based in Toronto, Ontario, where they will turn complex data into practical insights that support business decisions. </p><p><br></p><p>A core focus of this role includes machine learning expertise, data engineering capability, and analytical thinking to develop scalable solutions in a Databricks environment. You will work closely with technical and business teams to build reliable models, improve data workflows, and communicate findings in a clear and meaningful way.</p><p><br></p><p>Key Responsibilities:</p><p>• Develop, implement, and operationalize machine learning models and analytical solutions within Databricks to address business needs.</p><p>• Create and support scalable data pipelines using Apache Spark, including PySpark or Scala, to process large and diverse datasets efficiently.</p><p>• Examine both structured and unstructured data sources to identify trends, generate forecasts, and support data-driven decision-making.</p><p>• Partner with engineers, analysts, and business stakeholders to define objectives and translate them into practical data science solutions.</p><p>• Use Lakehouse principles in Databricks to manage data ingestion, transformation, storage, and model deployment in a streamlined manner.</p><p>• Apply disciplined machine learning practices across feature creation, model training, testing, deployment, and ongoing performance monitoring.</p><p>• Produce dashboards, visual summaries, and reports that present analytical results clearly for technical and non-technical audiences.</p><p>• Maintain strong standards for data accuracy, governance, security, and compliance throughout analytics and machine learning workflows.</p><p>• Improve the performance, scalability, and cost effectiveness of Databricks processing and model execution environments.</p>
- 2026-06-07T00:00:00Z
Databricks Developer/Engineer
- Mississauga, ON
- remote
- Contract / Temporary
-
60 - 70 CAD / Hourly
- <p>We are looking for a Databricks Developer/Engineer to join a Contract opportunity in Mississauga, Ontario within the drink and beverages industry. This position will support the design and delivery of scalable data pipelines, helping move operational and forecasting information into a modern cloud-based environment. The ideal candidate brings strong end-to-end data engineering experience, with a focus on Azure-based ingestion, Databricks development, and reliable data integration across enterprise platforms. This is a 3 month contract to start looking for an individual available to start working immediately.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain data pipelines in Databricks to process, transform, and organize business-critical data for downstream use.</p><p>• Develop Azure-based ingestion workflows that bring source data into the data lake accurately and efficiently.</p><p>• Analyze source data structures and map them to target models to support consistent and dependable data loading.</p><p>• Enable the movement of operational shipment and loading data into cloud storage environments for reporting and analytics.</p><p>• Support the integration of forecast data back into Databricks so teams can access timely and usable information.</p><p>• Collaborate with internal stakeholders to ensure data is ingested correctly into Hyperion and aligned with business requirements.</p><p>• Contribute to end-to-end engineering activities, from initial data assessment through implementation, validation, and optimization.</p><p>• Assist with reporting and analytical needs by preparing datasets that can be leveraged in tools such as Power BI when required.</p>
- 2026-06-09T00:00:00Z
Data Analyst
- Markham, ON
- onsite
- Contract / Temporary
-
23.75 - 27.5 CAD / Hourly
- We are looking for a Data Analyst to join a utilities and infrastructure organization in Markham, Ontario on a Long-term Contract basis. In this role, you will turn complex product and customer data into practical insights that support the growth and performance of a water-focused portfolio. You will work with partners across the business to strengthen reporting, guide planning decisions, and improve outcomes across the product lifecycle.<br><br>Responsibilities:<br>• Examine product, customer, and revenue data to identify trends in acquisition, retention, pricing performance, and overall profitability.<br>• Build and maintain dashboards and reporting tools that give stakeholders clear visibility into portfolio performance and emerging opportunities.<br>• Perform market and customer analysis to support product planning, prioritization, and longer-term strategic direction.<br>• Provide analytical support for product lifecycle activities, including tracking portfolio changes, measuring unit growth, and assessing attrition patterns.<br>• Support the launch of new offerings by preparing forecasts, monitoring early results, and highlighting areas that require adjustment.<br>• Work with product leadership to assess pricing approaches, review promotional results, and recommend improvements based on data.<br>• Contribute to business cases for new initiatives by gathering insights, validating assumptions, and quantifying potential impact.<br>• Partner with Finance, Supply Chain, Sales, Marketing, Engineering, and Field Operations to support forecasting, margin analysis, go-to-market readiness, and cross-functional execution.
- 2026-06-22T00:00:00Z
Business Intelligence Developer (Tableau)
- Vancouver, BC
- onsite
- Contract / Temporary
-
35 - 45 CAD / Hourly
- <p>We’re looking for a Senior Business Intelligence (BI) Developer to support the buildout and enhancement of sales and revenue reporting capabilities. This role will focus on creating impactful dashboards and analytics related to forecasting, pipeline coverage, sales performance, and revenue insights using Salesforce data housed within a centralized data warehouse.</p><p><br></p><p>The ideal candidate is a strong communicator who can work closely with business stakeholders to translate reporting needs into clear, actionable insights. In addition to traditional BI experience, we’re looking for someone comfortable leveraging AI tools such as Claude or ChatGPT to support data visualization, reporting ideas, and dashboard development workflows. Professional AI experience is not required, but curiosity and hands-on familiarity with AI tools is highly valued.</p><p><br></p><p>This is a 9-month contract with strong potential for extension.</p><p><br></p><p>The preference is for a hybrid resource working onsite Tuesday–Thursday, though remote candidates may be considered for the right fit.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and maintain dashboards and visualizations focused on forecasting, pipeline health, sales performance, and revenue analytics</li><li>Work with Salesforce CRM data (Accounts, Opportunities, Pipeline, etc.) within a centralized data warehouse environment</li><li>Leverage AI tools such as Claude or ChatGPT to assist with reporting development, data visualization concepts, KPI tracking, and insight generation</li><li>Partner with Revenue Operations and Sales Leadership to understand business requirements and deliver intuitive, scalable reporting solutions</li><li>Assess existing reporting environments and provide recommendations on dashboard improvements, reporting gaps, and BI best practices</li><li>Ensure data accuracy, consistency, usability, and reporting performance</li><li>Collaborate cross-functionally with RevOps, Sales, and Data teams to enhance analytics capabilities and drive business decision-making</li></ul>
- 2026-06-29T00:00:00Z
Database Developer
- Mississauga, ON
- onsite
- Contract / 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.<br><br>Responsibilities:<br>• Transform existing reporting assets into Power BI solutions, including redesigning selected reports and developing new dashboards where needed.<br>• Review current database queries, scripts, and reporting logic to identify opportunities for improved performance, accuracy, and maintainability.<br>• Build and refine Power BI data models to support clear, meaningful, and scalable reporting for business stakeholders.<br>• Use Power Query and related development techniques to prepare, shape, and connect data from multiple sources for analysis.<br>• Develop, test, and optimize SQL components such as stored procedures, complex queries, and database objects to support reporting needs.<br>• Partner with internal teams to deliver approximately 10 to 15 finance-focused reports with a high standard of quality and consistency.<br>• Contribute to reporting project planning by helping track priorities, timelines, and deliverables throughout the engagement.<br>• Support broader data and reporting initiatives by applying best practices in performance tuning, indexing, and data warehousing.
- 2026-06-29T00:00:00Z
Data & AI Automation Analyst
- Calgary, AB
- onsite
- Permanent
-
75000 - 85000 CAD / Yearly
- <p><strong>THE ROLE:</strong></p><p>As the Data & AI Automation Analyst you will bridge business strategy and advanced analytics, delivering scalable data, automation, and AI-driven solutions. You will work closely with stakeholders to identify opportunities, design solutions, and drive measurable outcomes.</p><p><em>Key Responsibilities:</em></p><ul><li>Design and implement automation workflows using tools such as Power Automate</li><li>Develop and support AI, analytics, and data-driven initiatives</li><li>Source, clean, and transform data to ensure accuracy and integrity</li><li>Build scalable data models and dashboards (Power BI) to support reporting</li><li>Translate business requirements into actionable insights and structured solutions</li><li>Lead solution design and requirements gathering with stakeholders</li><li>Mentor junior analysts and contribute to a high-performing analytics team</li><li>Communicate insights effectively to both technical and non-technical audiences</li></ul><p><strong>WHY THIS ROLE?</strong></p><p>This is an exciting opportunity to join a high-performing digital solutions team at the forefront of AI, automation, and analytics innovation. You’ll work on impactful projects that combine emerging technologies with real-world business challenges, while collaborating in a culture that prioritizes continuous learning and knowledge sharing. The role offers a competitive salary, strong benefits package, and meaningful career growth opportunities. If you’re passionate about turning data into strategic insights and want to make a tangible impact, apply now!</p>
- 2026-06-02T00:00:00Z