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Temporary Data Extraction Jobs in Toronto, ON (NOW HIRING)

City of Toronto

RESEARCH ANALYST 1

Toronto, ON · On-site

CA$47.07 - CA$51.58/hr

Temporary, Full-Time, 12-month vacancy Hourly Rate and Wage Grade: $47.07 - $51.58 Shift ... data extraction) * Considerable experience with the use of computers, database manipulation ...

Morson Talent

25-125 FinOps Engineer

Pickering, ON · Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ...

RSM

Senior Database Developer

Toronto, ON

$82/hr

We are seeking an experienced Senior Database Developer for a temporary engagement to lead a ... Data migration, ETL processes, and integration tools (e.g., SSIS) * Data analysis, data quality ...

New

City of Toronto

SYSTEMS INTEGRATOR 1

Toronto, ON

CA$52.38 - CA$57.39/hr

Job Type & Duration: Full-time, Temporary (12 months) Vacancy * Hourly Rate and Wage Grade: $52.38 ... implementation including data loading, cleansing and general ETL activities. * Experience ...

TD Bank Group

Analyste, Risque de marché

Toronto, ON · On-site

$70 - $98/hr

... du temps, à mesure qu'ils s'améliorent dans leurs fonctions. Le salaire de base offert peut ... Experience with programming for extract transform load (ETL) operations and data analysis ...

City of Toronto

BUDGET ANALYST

Toronto, ON · On-site

CA$47.07 - CA$51.58/hr

Job Type & Duration: Full-Time, Temporary (12 months) * Hourly Rate and Wage Grade: $47.07 - $51.58 ... A high level of skill in the extraction of large amounts of data from corporate systems and ...

All JobsData Extraction JobsTemporary Data Extraction JobsTemporary Data Extraction Jobs in Toronto, ON

Temporary Data Extraction information

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What is a temporary data extraction job?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

What are the typical challenges faced in a temporary data extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What are the key skills and qualifications needed to thrive as a temporary data extraction specialist, and why are they important?

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.

What are popular job titles related to Temporary Data Extraction jobs in Toronto, ON?

For Temporary Data Extraction jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Temporary Data Extraction jobs in Toronto, ON look for?

The top searched job categories for Temporary Data Extraction jobs in Toronto, ON are:

Temporary Data Extraction jobs near you
Infographic showing various Temporary Data Extraction job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

25-138 ERP Program Data Migration Lead

Morson Talent

Pickering, ON • On-site, Remote

$80 - $105/hr

Full-time

Re-posted 6 days ago

Job description

Job Description Title: ERP Program Data Migration Lead Resume Due Date: Friday Jan 9th, 2025 (5:00PM EST) Number of Vacancies: 2 Level: MP6, Rate $90- $105/hr INC Duration: 24 Months Hours of work: 40 Location: Temp: 700 University Av Toronto (Hybrid - 2 days remote) Base: Oshawa Job Overview Position Summary The Data Migration Lead is responsible for the planning, governance, and execution of data migration activities across multiple enterprise transformation programs-including, but not limited to, SAP S/4HANA, Asset Suite 9 and ECC initiatives. This senior position calls for technical expertise, strong business process awareness in Finance, SCM, and EAM, and the ability to guide the team in leveraging advanced data governance and integration tools. The successful candidate will ensure that all technology and resource selections align with and enhance OPG's broader data architecture and analytics ecosystem.

Key Responsibilities Shape and deliver the data migration strategy for a variety of enterprise projects (ERP, cloud, analytics, regulatory, and business platform migrations), ensuring early assessment, scope definition, and interdependency mapping. Lead migration efforts across functional domains (Finance, SCM, EAM), using best-in-class solutions for data profiling, lineage, and quality-such as Collibra for governance and Data Lake platforms for scalable data staging and historical archiving. Utilize ERP connectors and integration technologies that enable robust extraction of data and metadata, facilitate migration validation, and support automated reconciliation and data quality checks.

Oversee the use of advanced tooling to compare legacy and target environments, ensuring completeness and accuracy at every migration checkpoint. Collaborate with technology teams to ensure that new data management solutions and resources are selected and deployed in a way that complements existing data lakes, governance frameworks, and analytics platforms. Partner with business data owners and SMEs to establish clear data stewardship, sign-off processes, and ongoing quality monitoring.

Coordinate with infrastructure and security teams to ensure secure, efficient, and compliant data movement across on-premise and cloud environments. Develop and manage dashboards and reports that provide transparency on migration progress, data quality metrics, and readiness for go-live. Work closely with system integrators, legacy system teams, and platform architects to align data migration, cutover, and fallback strategies with OPG's overall enterprise data landscape.

Solution Architecture & Configuration Ensure migration and integration architectures are designed to work seamlessly with OPG's data governance and analytics strategies, including Data Lake environments and Collibra-based governance. Validate that ERP connectors and supporting tools are configured to maximize data extraction, lineage tracking, and auditability across all platforms. Collaborate on the architectural design to ensure scalability, compliance, and best practice alignment for future technology investments.

Qualifications 10+ years of experience in data management, with 5+ years leading data migration for large-scale enterprise transformation projects. Deep understanding of S/4HANA data architecture, SAP MDG, and cross-platform data integration, especially in Finance, SCM, and EAM. Proven experience with industry-leading data governance and migration tools, including Collibra, Data Lake technologies, and ERP integration/connectors.

Expertise in comparing data and metadata across systems, automating migration checks, and ensuring data integrity throughout the migration lifecycle. Strong analytical, leadership, and stakeholder engagement skills. Certifications & Education Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (advanced degree preferred).

SAP certifications in Data Migration, S/4HANA System Administration, or Master Data Governance. Data governance or management certifications such as COMP (DAMA), Collibra Ranger, or Informatica Certified Professional. Cloud data engineering certifications (e.g., AWS, Azure, or Google Cloud Data Engineer) are highly valued

ETUdata integration certifications (Informatica, Talend, SAP Data Services). Project management or agile certifications (PMP, PRINCE2, Scrum Master, or SAFe) are a plus. Core Competencies Business process expertise in Finance, SCM, and EAM.

Strong grasp of enterprise data governance, lineage, and analytics integration. Skilled in technology selection and solution alignment with broader enterprise data strategies. Proven success in high-stakes, cross-functional delivery environments.

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