Data Engineer Jobs in Toronto
Mastech Digital
Toronto, ON
Must have strong experience in Azure SQL Database, Azure Data Factory (ADF), Azure Databricks (ADB), Synapse, T-SQL, Azure SQL DWH, ADLS, SparkSQL/PySpark and other Azure services for database, storage, security, and development of BI solutions is required. - Strong experience of SSAS Tabular Model, DAX queries and query optimization, resolving performance issues, database tuning and data replication techniques with Microsoft SQL Server.
CA-Procom
Toronto, ON
The project involves supporting an integrated plan to grow and scale the Canadian and LATAM roadmap, working across AI, Data Engineering, Marketing, Sales, and Product. The Data Science and Analytics team is looking for a talented Analytics Engineer to support initiatives across the Canadian and LATAM Business.
CA-Procom
Toronto, ON
Experience with cloud-native data services such as DaaS (Data-as-a-Service), DBaaS (Database-as-a-Service), and DWaaS (Data Warehouse-as-a-Service), and infrastructure elements like Key Vault, VMs, and disks. Contribute to data migration projects, including OLTP/OLAP workloads and very large datasets (VLDs), to cloud platforms (SaaS, PaaS, IaaS).
Tanisha Systems
Toronto, QC
Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations.
Akkodis CA
Toronto, ON
Must-have skills include strong hands-on experience with GCP (BigQuery, Dataproc, Cloud Run, etc.), Terraform, CI/CD (Cloud Build, GitHub Actions), Docker, and secret management tools such as Hashicorp Vault. • 3+ years of experience in using Infrastructure as Code tooling, like Terraform, to manage large-scale infrastructure platforms with strong knowledge of best practices for access control and least-privilege policy.
Akkodis CA
Toronto, ON
A strong data analyst who has worked with large data sets, HR data knowledge is great and if they have worked with SuccessFactors that will set them apart, as is a short engagement need someone who can hit the ground running with minimal hand holding, are expected to take ownership on tasks assigned. In this collaborative role, you will help develop and support HR reporting solutions using tools like SuccessFactors and Power BI while also supporting QA testing and tier 2 issue resolution for global HR users.
Akkodis CA
Toronto, ON
The Government Client is looking for a Senior Data Analytical Specialist/Scientist to support the design, development, and implementation of modern data analytics and business intelligence solutions. Hands-on experience with data warehouses: Microsoft SQL Server, Snowflake, Databricks Delta Lake, Azure Data Lake.
Akkodis CA
Toronto, ON
The ideal candidate will contribute to the ongoing development of a Conceptual Data Model (CDM) and play a key role in data architecture and enterprise planning efforts. We are seeking a Senior Data Architect/Modeller to support our client on a high-impact data initiative.
Mastercard
Toronto, ON
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
CA-Procom
Mississauga, ON
The role involves operationalizing urgent data needs and integrating analytics within business processes to enhance planning and operations management. The Data Engineer will be part of a new Data Office, focusing on building and optimizing data pipelines to support the client's future vision.
eTeam Inc.
Toronto, ON
By partnering with cross-functional teams, this role will develop and implement scalable data solutions, automate processes, and enhance productivity through innovative data tools and platforms. • Proficiency in SQL and Python and quantitative analysis; you can deep dive into large amounts of data, draw meaningful insights, dissect business issues, and draw actionable conclusions.
ROYAL CANADIAN STEEL
Brampton, ON
You will be responsible for analyzing data sets, identifying trends & working closely with our different departments to understand data needs & providing tailored solutions. Implement cutting-edge techniques & tools in machine learning, deep learning & artificial intelligence to make data analysis more efficient.
CANADA GOOSE
Toronto, ON
Leverage PySpark, TSQL and Power Query to transform and process large datasets, implement scalable ETL/ELT pipelines to convert and clean raw data into meaningful datasets, manage and curate data for stakeholders’ consumption to address the reporting needs of the business. Create and manage semantic layers in Microsoft Fabric, collaborate with data and analytics teams, business stakeholders to build Power BI models and dashboards, ensuring accessible, high-quality datasets for reporting, analytics and machine learning projects.
Artech LLC
Toronto, ON
Few of our top high level priorities/ outcomes are:Build, Launch and scale DFPaaS (Data Factory Platform as a Service) across CPPIB Data Product Producers to ensure consistent tooling used to build consistent interoperable high quality data products through DFPaaS Strengthen Entitlement capability. Job Description: Looking for engineers with the following skills:Amazon S3, AWS Lake Formation, Glue Catalog, Amazon EMR/EC2/Serverless, Spark, Athena.
Talent To Hire Inc.
Toronto, ON
This is a high-impact role where you’ll work closely with quants, data scientists, and financial engineers to build scalable pricing models, analytics, and data systems in a capital markets context. We’re looking for 2Quantitative / Data / ML Engineers with strong Numerix experience and a solid grasp of AWS cloud infrastructure.
J&M Group, Inc
Toronto, ON
We are seeking a skilled **Data and Integration Engineer** to join our team, responsible for designing, developing, and maintaining data integration solutions. The ideal candidate will have hands-on experience with data extraction, configuration, automation, and workflow orchestration.
Epsilon Solutions LTD
Toronto, ON
Job Title : Power BI, Data Bricks and SAS Engineer. Analyze SAS datasets within Power BI reports
Tiger Analytics
Toronto, ON
The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.