Canada - Remote
Actively hiring, first seen by us 2 hours agoExperience Level: 6+ years of experience Work Location: Remote Canada About the Role:
Listed location: Canada - RemoteRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
The Analytics Data Engineer is a highly organized and collaborative professional who partners with business analytics and data architecture teams to ensure data alignment and availability.
Translate business requirements into actionable technical solutions.
Implement and monitor efficient data ingestion and transformation from multiple source systems for Microsoft Fabric reporting.
Maintain enterprise-level Fabric lakehouses, warehouses, and Power BI semantic models.
The Analytics Data Engineer is a highly organized and collaborative professional who partners with business analytics and data architecture teams to ensure data alignment and availability. Working directly with the Supply Chain and Distribution teams, this role involves locating, translating, and consolidating data into well-structured, sustainable fact tables to enable core business functions. The engineer translates business needs into scalable data architecture, manages and optimizes Microsoft Fabric infrastructure, and ensures reporting consistency across business units. Success in this role means delivering trusted, well-modeled data products to support operational reporting and enterprise data growth.
Communicate complex data structures and nuances to business stakeholders to drive informed decision-making. Translate business requirements into actionable technical solutions. Implement and monitor efficient data ingestion and transformation from multiple source systems for Microsoft Fabric reporting.
Translate business requirements into actionable technical solutions. Implement and monitor efficient data ingestion and transformation from multiple source systems for Microsoft Fabric reporting. Maintain enterprise-level Fabric lakehouses, warehouses, and Power BI semantic models.
Implement and monitor efficient data ingestion and transformation from multiple source systems for Microsoft Fabric reporting. Maintain enterprise-level Fabric lakehouses, warehouses, and Power BI semantic models. Map the data and logic of different ERP systems into central sources within a database.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or an equivalent technical field.
6 years of experience in data engineering or data analytics.
Familiarity with data modeling, data governance frameworks, and data quality management.
Demonstrated ability to gather and consolidate different streams of data into centralized locations.
Experience translating complex business needs into actionable technical solutions.
Excellent communication (written, verbal, and presentation) and interpersonal skills.
Basic Qualifications: - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or an equivalent technical field. - 6 years of experience in data engineering or data analytics.
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
At Quantiphi, jobs usually come down by about day 31.
From 13,649 similar postings that came down, and 44 of Quantiphi’s. Coming down is not always a hire.
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Demonstrated success in communication across business domains. Other Qualifications: - Proficiency in Python is a plus. - Technical familiarity with ERP systems (e.g., D365, Microsoft Navision) is a plus.
- 6 years of experience in data engineering or data analytics. - High level of expertise in SQL. - High familiarity with the Microsoft Fabric platform, infrastructure, and Power BI data modeling/reporting.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: - 21 Google Cloud Partner of the Year awards in the past 10 years
- 21 Google Cloud Partner of the Year awards in the past 10 years - 3 AWS AI/ML Partner of the Year awards - 3 NVIDIA Partner of the Year awards
- Flexible with a proven ability to conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities. - Technically competent with various software programs, including Microsoft Office (Word, Excel, PowerPoint, Outlook, Project, SharePoint), Planview, and ServiceNow. - Comfortable in a standard office environment with prolonged sitting in front of a computer.
- Implement and monitor efficient data ingestion and transformation from multiple source systems for Microsoft Fabric reporting. - Maintain enterprise-level Fabric lakehouses, warehouses, and Power BI semantic models. - Map the data and logic of different ERP systems into central sources within a database.
- High level of expertise in SQL. - High familiarity with the Microsoft Fabric platform, infrastructure, and Power BI data modeling/reporting. - Familiarity with data modeling, data governance frameworks, and data quality management.
- 3 NVIDIA Partner of the Year awards - 3 Snowflake Partner of the Year awards - Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: - 21 Google Cloud Partner of the Year awards in the past 10 years - 3 AWS AI/ML Partner of the Year awards
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies, we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work, reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page.
Experience Level: 6+ years of experience
Work Location: Remote Canada
About the Role:
The Analytics Data Engineer is a highly organized and collaborative professional who partners with business analytics and data architecture teams to ensure data alignment and availability. Working directly with the Supply Chain and Distribution teams, this role involves locating, translating, and consolidating data into well-structured, sustainable fact tables to enable core business functions. The engineer translates business needs into scalable data architecture, manages and optimizes Microsoft Fabric infrastructure, and ensures reporting consistency across business units. Success in this role means delivering trusted, well-modeled data products to support operational reporting and enterprise data growth.
Key Responsibilities:
Basic Qualifications:
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Canada - Remote
Experience Level: 6+ years of experience Work Location: Remote Canada About the Role:
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