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Added 15 days ago
A
Data Engineering Specialist
Accenture
Toronto, ON
- Full-time
Implement CI/CD practices for data pipelines, including automated testing, deployment automation, versioning, and controlled promotion across environments.
Added 15 days ago
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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 15 days ago
JP
Data Engineer
Jim Peplinski Capital
Calgary, AB
- Full-time
We are growing, and we are looking for a Data Engineer who likes to build things from scratch, solve hard problems, and get things done. We're a small, senior technology team on an…
Added 15 days ago
P
Member of Technical Staff (General Software Engineer, Infrastructure)
Perplexity
Toronto, ON
- $220,000 to $405,000 USD / year
- Full-time
Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.
Added 15 days ago
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Software Development Engineer
Nokia
Ottawa, ON
- Full-time
Contribute to advanced SDK APIs, software frameworks, and automation solutions that enable faster product development and deployment.
Added 15 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
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 15 days ago
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Senior Data Engineer – Capital Markets
Synechron
Mississauga, ON
- Full-time
Seeking a motivated, proactive, and reliable Data Engineer to join the Data Sourcing and Analytics team. This role will support the design, development, implementation, and ongoing…
Added 15 days ago
CG
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 15 days ago
CG
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Senior Data Quality Engineer: Senior Data Quality Engineer – Zonda – Toronto, ON
Added 15 days ago
CG
Senior Data Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong Python development skills for data pipelines, automation, integrations, and supporting data applications.
Added 15 days ago
AI Engineer
NetBrain
Toronto, ON
We’re looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines…
Added 15 days ago
T
Full-Stack Engineer, AI Platform
Thumbtack
Remote, Canada
- Full-time
- Remote
…work, and see clearly what happened and why. Without that, automation stays stuck in pilots. This engineer owns the product surface that turns agent capability into something teams will…
Added 15 days ago
TC
Quality Assurance Automation Engineer
TMC Canada
Montreal, QC
- Full-time
We're looking for a skilled Quality Engineer to strengthen quality assurance across our technology platforms, ensuring high-quality software delivery through functional and non-functional…
Added 15 days ago
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Staff Software Engineer
VGS
Canada
- Full-time
Automation & Scripting: Strong coding skills in Python to automate infrastructure and build operational tools.
Added 15 days ago
X
Senior Photonics Engineer - Experimental Nonlinear Optics
Xanadu
Toronto, ON
- Full-time
Advanced Automation: Experience writing Python scripts for instrument control and hardware interfacing.
Added 25 days ago
AL
Principal Product Applications Engineer
Astera Labs
Vancouver, BC
- Full-time
Scripting and automation experience (Python, shell) for validation and diagnostics
Added 16 days ago
AM
Fuse Validation Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD Datacenter org is seeking a highly motivated Senior Engineer to drive fuse alignment across various platforms teams. This person will work closely with Designers, SoC Architects,…
Added 16 days ago
Q
FY27 Intern - Firmware/Embedded Software Engineering Internship - Canada (12 or 16 months)
Qualcomm
Toronto, ON
- Full-time
Under the guidance of an experienced engineer and a dedicated mentor, interns contribute directly to shipping firmware and SDK releases. This posting covers two project areas on the same…
Added 15 days ago
AI
Software Test Engineer
Aversan Inc.
London, ON
- $85,600 to $107,000 CAD / year
- Contract
Experience with DSPACE, MATLAB, Simulink, Python, or similar test automation and simulation tools.
Added 15 days ago
C
Responsable - Plateforme IA (Lead AI Platform Engineer)
CGI
Montreal, QC
- Full-time
In this context, the PSC is creating a new Lead AI Platform Engineer position. The role will be responsible for structuring and evolving our AI capabilities, both on-premises and in the…
Added 15 days ago
AS
SCADA Engineer
Arrow Speed Controls
Mississauga, ON
- Full-time
…date, we are a trusted partner across the heavy industries. We engineer and assemble speed control equipment for a wide range of electric motor applications. In addition to VFD's, we also…
Added 17 days ago
Summer 2027 Long Term Thermal Mechanical Test Engineer Intern/Co-op
Advanced Micro Devices, Inc
Markham, ON
We are seeking highly motivated Thermal/Mechanical Test Engineer co-op to join our team. In this role –
Added 15 days ago
C
Oracle EDQ Platform Engineer (contract)
Capgemini
Brampton, ON
- Contract
We are seeking a highly skilled Oracle EDQ Platform Engineer to lead and support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure…
Added 16 days ago
S
Senior Solutions Engineer
Suger
Vancouver, BC
- $120,000 to $160,000 CAD / year
- Full-time
We’re hiring a Senior Software Engineer - Solutions to work directly at the intersection of product engineering and customer integrations.
Added 16 days ago
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Senior Cloud Security Engineer
Pixieset
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- Full-time
We’re hiring a Senior Cloud Security Engineer to strengthen and lead cloud security across Pixieset’s AWS, Cloudflare, and Kubernetes environments.

Accenture

Data Engineering Specialist

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 18, 2026
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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