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Added 1 month ago
ZG
Full Stack Developer
ZAPCOM GROUP INC
Toronto, ON
- Full-time
Strong understanding of Data Structures and Algorithms
Added 1 month ago
LI
Data Engineer
Loopio Inc.
Remote, Canada
- $103,500 to $140,000 CAD / year
- Full-time
- Remote
Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features…
Added 1 month ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 month ago
H
Applied AI Engineer
Hygiena
Mississauga, ON
- Full-time
Collaborate with Product Managers, Data Engineers, ML Engineering, and food safety scientists; translate ambiguous product and domain needs into clear technical requirements and tradeoffs;…
Added 1 month ago
W
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
- $241,000 to $320,000 USD / year
- Full-time
Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
Added 1 month ago
A
Power System Engineering Intern-Calgary
Arup
Calgary, AB
- Full-time
Responsible for the design of solar facilities, substation and BESS under the direction of other senior engineering staff.
Added 1 month ago
MS
EAM – Tech Strategy Metrics & KPI Lead (Hyrbid)
Morgan Stanley
Montreal, QC
- Full-time
…technology measurement ecosystem, partnering across architecture, engineering, cybersecurity, data, infrastructure, and senior leadership to define trusted, standardized metrics that inform…
Added 1 month ago
MS
Senior Platform Integration and Monitoring Lead (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We're seeking someone to join our RTMD (Real-Time Market Data) team as a Senior Platform Integration and Monitoring Lead to drive the reliability, automation, monitoring, and operational…
Added 1 month ago
Principal Application Security Specialist
Global Relay
Vancouver, BC
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 1 month ago
AC
Senior Java Software Engineer
Amaris Consulting
Montreal, QC
- Full-time
We are seeking an experienced Senior Java Developer to join a growing Market Risk technology team. In this role, you will design, build, and enhance applications that support critical risk…
Added 1 month ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 1 month ago
GM
Software Engineer, Simulation Scalability - Sim RIM (Release and Incident Management) Focus
General Motors
Markham, ON
- Full-time
Our work spans systems architecture, software engineering, release management, and quality strategy, with a mission to increase reliability, throughput, and operational excellence across…
Added 1 month ago
Software Development Engineer Intern - Summer 2027 (CAN)
Amazon
Vancouver, BC
Machine Learning • Distributed Systems and Data Management • Database Systems • Quantum Computing • Network Development • Query Processing and Optimization • Automated Reasoning • Embedded…
Added 1 month ago
H
Principal Data Architect
Hays
Toronto, ON
- Contract
Establish best practices for data engineering, application integration, security, scalability, and performance.
Added 1 month ago
GR
Principal Application Security Specialist
Global Relay
Vancouver, BC
- Full-time
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…
Added 1 month ago
H
Solutions Architect
Hays
Toronto, ON
- Contract
Hiring: Solution Architect (Java, Cloud & Big Data)
Added 1 month ago
EM
PySpark / Databricks Developer (Junior to Intermediate)
Electric Mind
Toronto, ON
- Full-time
- Contract
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 1 month ago
LH
Principal Product Applications Engineer
LeadingEdge HR Solutions
Ottawa, ON
- Full-time
The role combines customer engineering, system integration, post-silicon validation, technical troubleshooting, and product development, with significant influence on future PCIe Gen 6/7…
Added 1 month ago
Senior Software Engineer – Full Stack (AI First)
Precisely International Jobs
Canada
We are seeking an experienced and technically strong Senior Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role,…
Added 1 month ago
EP
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] |
EDF power solutions
Montreal, QC
- Full-time
…functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a strong…
Added 1 month ago
Sr. Principal AI Architect
Open Text Corporation
Richmond Hill, ON
…solutions across its product portfolio. Working with architects and engineering leaders across business units, you will tackle complex application challenges and turn emerging AI approaches…
Added 1 month ago
A
Data Engineering Specialist
Accenture
Toronto, ON
- Full-time
Translate requirements from Performance Analytics & Insights into clear data contracts, scalable engineering solutions, and analytics-ready data products.
Added 1 month ago
L
Capital markets experience
Luxoft
Toronto, ON
- Contract
We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on implementing reliable data solutions in a…
Added 1 month ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
Demonstrated professional experience in data engineering principles, data architecture, and software design
Added 1 month ago
JP
Data Engineer
Jim Peplinski Capital
Calgary, AB
- Full-time
4+ years of experience in data engineering, analytics engineering, or a data platform role, with real production ownership

Accenture

Data Engineering Specialist

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: Experience: 3-7 years of experience in data engineering, analytics engineering, or software engineering with a strong data focus.
Posting language: English
Posted: Sep 18, 2026

Original job description

You’ve Never Been Satisfied with “Good Enough.”

You want to make an impact, not just manage projects, but change how the world gets built. At Accenture Infrastructure & Capital Projects, you’ll do exactly that. You’ll help develop and deliver the factories, grids, transit systems, and public infrastructure that keep communities moving - and do it smarter, safer, and more sustainably than ever before.

You’ll work alongside people who think big and act bold - project managers, engineers, technologists, and strategists who blend real-world experience with digital innovation and AI. Together, we’re transforming how capital projects are planned, managed, and executed, creating a better way to build for the future.

Because “good enough” builds the past. You’re here to build what’s next, on a team that outperforms every norm.

Visit us here to learn more about Accenture Infrastructure & Capital Projects

(Internal Title: Business System Configuration / Development II)
Data Science and Strategic Support
Assist the Data Science Manager in achieving objectives and support the development and execution of strategic roadmaps for data management and mobilization.
Own end-to-end delivery for defined data domains, such as cost, schedule, commitments, risk, and change, including ingestion, transformation, publishing, and ongoing operational support.
Translate requirements from Performance Analytics & Insights into clear data contracts, scalable engineering solutions, and analytics-ready data products.
Coordinate upstream changes with Business Systems and source system owners to maintain stable interfaces and minimize disruption to downstream consumers.
Ensure curated data products are documented, fit for purpose, and adopted by downstream reporting and analytics consumers.
Collaboration and Teamwork
Collaborate closely with multidisciplinary teams to foster a high-performing and collaborative environment.
Partner with Project Controls subject matter experts to ensure datasets reflect controlled baselines, approved business logic, and established governance without replacing control authority.
Work with governance stakeholders to align data retention, access, classification, and usage with organizational policies.
Support enablement by presenting data products to consumers, documenting recommended usage patterns, and contributing to continuous learning initiatives.
Lead cross-functional troubleshooting and incident resolution for owned data domains, communicating impacts, recovery actions, and follow-up improvements.
Data Architecture and Management
Ensure scalable and flexible data architecture that supports operational excellence, data reliability, auditability, and cost-effective growth.
Design incremental refresh strategies using appropriate patterns such as change data capture, snapshots, and partitioning to improve performance and traceability.
Implement orchestration patterns covering dependencies, retries, backfills, scheduling, and recovery, with clear runbooks, alerts, and operational readiness procedures.
Implement CI/CD practices for data pipelines, including automated testing, deployment automation, versioning, and controlled promotion across environments.
Monitor platform and pipeline performance, tune compute and storage consumption, and introduce observability through metrics, logs, traces, dashboards, and alerts.
Participate in creating and maintaining data dictionaries, catalogs, source mappings, lineage, transformation logic, assumptions, and known limitations.
Support efforts to reduce data debt by optimizing data structures, standardizing engineering patterns, and strengthening management controls.
Analytics and Insights
Apply advanced data modeling expertise to design and optimize dimensional or domain data structures for efficient storage, retrieval, analysis, and scalable reporting.
Design models that align to business hierarchies and control structures, including WBS/CBS, activity codes, portfolio structures, and other approved enterprise dimensions.
Implement conformed dimensions and standardized measures to support consistent cross-program analytics and reusable semantic foundations.
Define and implement validation routines appropriate to dataset criticality, including tolerance checks, reconciliation, completeness checks, and anomaly-detection triggers.
Apply performance optimization techniques such as partitioning, clustering, caching, and efficient transformation patterns.
Support audit requests by demonstrating lineage, transformation evidence, and reconciliation for key reported figures.
Proactively detect and reduce data quality issues through automated checks, stronger controls, root-cause analysis, and corrective actions.
Reporting and Analytics Enablement
Support the development of advanced reporting strategies using data engineering and analytics engineering practices to improve efficiency and consistency.
Prepare semantic model foundations for BI tools through clear naming conventions, standard aggregations, reusable measures, snapshot strategies, and documented business definitions.
Ensure transformations and models follow agreed standards for naming, lineage, versioning, testing, and maintainability.
Build and maintain analytics-ready curated datasets that provide stable, documented interfaces for self-service analytics and enterprise reporting.
Support self-analytics enablement through training, documentation, recommended usage patterns, and close collaboration with reporting consumers.
Deliver engineering changes through disciplined release practices that minimize disruption and provide clear rollback and recovery procedures.

Working Conditions:

Office-based (5 Days a week in office)

HERE’S WHAT YOU’LL NEED:

Experience:

Experience: 3-7 years of experience in data engineering, analytics engineering, or software engineering with a strong data focus.

Education:

Education: Bachelor’s degree in Computer Engineering, Data Science, Software Engineering, or a related discipline; Master’s degree preferred.

Licenses OR Certifications:

DP-203: Azure Data Engineer Associate or equivalent Azure/Fabric data engineering certification; SQL and Advanced Data Modeling training strongly preferred.
CSM, ITIL V4, and other relevant Microsoft, AWS, Azure, or GCP certifications are assets.

Skills and Competencies:

Microsoft Fabric, including strong hands-on experience building and operating scalable data engineering solutions across Fabric workloads.
SQL and advanced data modeling, including dimensional modeling, conformed dimensions, standardized measures, lineage, and semantic model readiness.
ETL/ELT processes, data governance, data quality, data integrity, reconciliation, and automated validation controls.
Azure data engineering services, Synapse Pipelines, Data Marts, Power Platform, and related cloud data solutions.
Power BI and Tableau, including data modeling, semantic foundations, visualization, and report enablement.
Python, Power Query, DAX, and advanced Excel for data transformation, analytics, automation, and investigation.
Incremental processing patterns such as change data capture, snapshots, partitioning, and performance optimization.
Domain Knowledge
Experience in transit, transportation, infrastructure, capital projects, or project controls domains is advantageous but not mandatory.
Analytical and Software Skills
Strong problem-solving and analytical skills with a results-oriented mindset and demonstrated ability to troubleshoot complex pipeline, data quality, and performance issues.
Strong SQL skills and practical experience designing scalable data pipelines, transformation logic, and analytical data models.
Substantial experience with project control tools and dashboarding software, with the ability to translate business and control requirements into governed data solutions.
Ability to communicate technical concepts, operational impacts, and data limitations clearly to both technical and business stakeholders.
Additional Tools and Knowledge
Familiarity with orchestration and streaming patterns and technologies such as Airflow, Kafka, or Kinesis, including monitoring, retry, backfill, and incident-response practices.
Familiarity with Microsoft SharePoint, Primavera P6, Earned Value Management software, and enterprise data governance tooling is a plus.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill an existing position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

Role Location Annual Salary Range

Toronto $82,000 to $123,000

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More about this job

Responsibilities

The role involves owning end-to-end delivery for data domains including ingestion, transformation, and publishing while supporting strategic roadmaps for data management. You will collaborate with multidisciplinary teams to design scalable data architectures and implement automated validation routines to ensure data reliability and auditability.

Requirements

Candidates must have 3-7 years of experience in data or software engineering with a strong focus on data and hold a bachelor's degree in a related discipline. Proficiency in Microsoft Fabric, SQL, and advanced data modeling is required, along with relevant Azure data engineering certifications.

Skills

Microsoft Fabric
SQL
Data Modeling
ETL/ELT
Data Governance
Azure Data Engineering
Power BI
Tableau
Python
Power Query
DAX
Data Architecture
CI/CD
Data Quality
Project Controls

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Microsoft Fabric
SQL
Dimensional Modeling
Azure
ETL
ELT
Data Governance
Power BI
Tableau
Python
DAX
CI/CD
Data Architecture
Project Controls
Infrastructure
Capital Projects
Data Quality
Synapse Pipelines
Power Platform
Change Data Capture
Data Lineage
Semantic Modeling
Airflow
Kafka
Primavera P6
Earned Value Management
Data Management
Analytics Engineering
Cloud Data Solutions

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