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HomeCompaniesVantageanalyticsSenior Data Engineer

Senior Data Engineer

Vantageanalytics · Toronto - Remote · Remote · Deleted · Ashby

Job facts

FieldValue
CompanyVantageanalytics
TitleSenior Data Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationToronto, ON, Canada
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusdeleted
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-04

Related slices

PageWhat it containsOpen
Company jobsActive postings from Vantageanalytics.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyVantageanalytics
Source29dc7015-aa03-41d3-a3cb-b07caac2f914
ATS providerAshby

Description

About the Role Vantage is looking for its next Senior Data Engineer to join our Measurement team. Our Measurement team is focused on enhancing the Insights Explorer feature of our platform, enabling the organizations we partner with to easily transform their retail media data into actionable insights. As a Senior Data Engineer, you’ll play a pivotal role in designing the data infrastructure that’s used to collect, process and analyze our massive data set. You’ll use a variety of cutting edge technologies to push the boundaries of what’s possible with real-time data and batch processing at scale. This posting is for a new position (newly created role). Minimum Requirements 5+ years of experience working in data engineering, big data, and/or distributed systems for SaaS (Software as a Service) products. Proficiency with Python, Django, and SQL. Hands-on experience using Snowflake to build ETL/ELT pipelines, data-warehousing, and analysis. Hands-on experience using Great Expectations to test and validate data quality, (or a similar data testing tool). Hands-on experience with data modelling, data warehousing, and distributed systems. Experience with privacy-compliant data processing (GDPR, CCPA) for advertising/retail media use-cases. Track record of successful collaboration with other engineering and product teams. Familiarity with how to manage real-time streaming data using tools such as Kafka, Kinesis, and/or Pub/Sub. Bonus : Hands-on experience with data lakes, as well as ML (Machine Learning) pipelines. Role Responsibilities Lead architectural conversations and guide the development of our data infrastructure to ensure the availability of high-quality, trustworthy data. Oversee the processing and transformation of data within our systems, and ensure proper data hygiene is maintained for downstream applications. Write maintainable Python code to deliver high-quality, scalable data management solutions. Document new and existing features clearly and effectively to support team alignment and aid in future development. Coach and develop the broader Measurement team to raise collective capability and drive long-term team growth. Communicate with stakeholders across the organization to align expectations and ensure transparency regarding data infrastructure and management. About Vantage Vantage is the first unified platform purpose-built for retail media orchestration, empowering enterprise retailers to seamlessly activate onsite, offsite, and in-store advertising. With a global presence in North America and Asia-Pacific, Vantage enables retailers to launch and grow their media networks through scalable technology and automated workflows, and is trusted by leading retailers like The Home Depot to power their retail media programs. For a closer look at what we do, our culture, and our benefits, check out our about us and careers pages. Remote-First, Based in Toronto Vantage is proudly headquartered in Toronto, but we’re a remote-first team spread across North America (and beyond). Our flexible work philosophy means team members can thrive from wherever they do their best work—whether that’s from a home office, a local café, or while adding stamps to their passport. With a remote-friendly setup, home office support, and annual company retreats, we stay connected, collaborative, and energized—no matter the time zone. Vantage’s Commitment to Diversity, Equity, and Inclusion Vantage Analytics is fueled by the diversity of our talented employees. We are an equal opportunity employer and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage all individuals to apply for positions that fit their passions. We promote equality and strive to provide all current and prospective employees with support and opportunities. Reasonable accommodations are available to job applicants on request and throughout the application process. How Vantage Uses AI in the Recruitment Process At Vantage, we use AI-enabled tools to support our hiring process. This may include using AI to help organize, screen, and assess applications. We are committed to using these tools responsibly, and ensuring every candidate is treated fairly throughout the process. All hiring decisions at Vantage are made by our team. Who we invite to work at Vantage is a decision we only trust ourselves to make. What's Next? We thank all applicants in advance for their interest in this position, however, only those selected for an interview will be contacted. As part of the final stages of our hiring process, all candidates will be required to successfully complete a criminal background check.

Full job record

Job IDdbffe0a249d3a653c791643eb6de0bd6638d0f35
Org IDae9f7a8b-0c4a-4f42-ba74-2b5103e1c82d
Source ID29dc7015-aa03-41d3-a3cb-b07caac2f914
Board ID29dc7015-aa03-41d3-a3cb-b07caac2f914
Providerashby
Provider Job Keye3c6595f-8b60-423a-9f92-40e57cc806c2
TitleSenior Data Engineer
Normalized Title
Statusdeleted
Activeno
Location TextToronto - Remote
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryCanada
RegionON
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/vantageanalytics/e3c6595f-8b60-423a-9f92-40e57cc806c2
Apply URLhttps://jobs.ashbyhq.com/vantageanalytics/e3c6595f-8b60-423a-9f92-40e57cc806c2/application
First Seen At2026-05-29 05:51:36Z
Last Seen At2026-06-04 13:06:04Z
Last Checked At2026-06-06 19:44:39Z
Last Changed At2026-06-06 19:44:39Z
Inactive At2026-06-06 19:44:39Z
Source Posted At
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=ashby/board=vantageanalytics/date=2026-06-04/2026-06-04T13-05-59-239Z-cdfdf644806fe41b76635ac8951073c8f0e7c90056d7b62bc7c3d8d33cf95e37.json
Event Fields
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  "active_status": "deleted"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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  "isListed": true,
  "isRemote": true,
  "location": "Toronto - Remote",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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