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Senior Data Engineer - Microsoft Data & AI

TtecdigitalToronto🇨🇦CanadaPosted 1 Oct 2026

Why this role stands out

Advance your career with this high-impact Senior Data Engineer role at an award-winning Microsoft Partner, where you will lead innovative architecture projects within a collaborative, growth-oriented global team. You will thrive in this fully remote position if you are a hands-on technical expert passionate about building end-to-end data platforms and mentoring others to deliver cutting-edge AI solutions. Apply today to join a supportive culture that prioritizes your professional development and empowers you to shape the future of customer experience.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationToronto, Canada
Posted3 weeks ago
DatabricksAzureAzure Data Factory

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
The TTEC Digital Microsoft Partner Practice, consisting of over 100 experts globally and growing, have the most recent certifications and experience with Azure AI, Power Platform and Microsoft Business Applications, earning them AI Inner Circle Awards, Eagle Awards, Partner of the Year, and eleven Inner Circle awards, all of which validate our employees' innovative industry solutions that fuel our clients' exceptional customer experience (CX).
We are seeking an experienced Senior Data Engineer to lead the design and delivery of end-to-end data platforms for our clients across the Microsoft Azure Data & AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and Azure Databricks.
This is a senior, hands-on technical role: you will own architecture and data modeling decisions, build production-grade pipelines yourself, and mentor other engineers, while also acting as a credible technical voice with client stakeholders.
The ideal candidate has deep experience delivering the full data lifecycle - ingestion, cleaning, preparation, analytics, and activation - and is comfortable designing the APIs and Model Context Protocol (MCP) integrations that let front-line systems and Data Agents / agentic AI interfaces consume that data.

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