Role

Data Engineer

Who We Are

Mission: At Clever Digital Marketing, we are on a mission to empower large-scale home improvement companies by fueling their top-line revenue through innovative digital marketing strategies. By bridging the gap in the industry for a highly profitable digital lead vendor, we've created a unique space where growth isn't just supported — it's catalyzed.

Product: Clever Digital Marketing delivers outcome-driven paid advertising and strategic advising solutions. We don't focus on clicks and impressions — we focus on net sales. Our customized, data-driven strategies are tailored to each client's unique needs, ensuring measurable impact and scalable profitability across Google, Meta, and Microsoft ad platforms.

Scale: Recognized by the Globe and Mail as the #1 Fastest-Growing Company in the Marketing & Advertising category and #42 across all of Canada, we are the growth engine behind some of North America's most ambitious home improvement brands — companies on track to generate over $500 million in combined revenue in 2026. With a team of 80+ across North America, $74M in digital ad spend managed, and 400,000+ leads generated, we've built something rare: a system where scale isn't luck. It's engineering.

Impact: As trusted subject matter experts in the home improvement space, we are redefining what it means to deliver value. Our commitment to authenticity, collaboration, and continuous improvement ensures we remain a powerhouse of growth and measurable results for every client we serve. We don't do lead generation — we do revenue generation.

Who We Are Looking For

We are looking for an Intermediate Data Engineer to build and strengthen the pipelines that power our entire advertising operation. As we scale Data Platform 2.0 — our GCP-native data platform — we need an engineer who delivers reliable, well-tested work independently, takes real ownership of defined portions of the stack, and is hungry to grow into broader platform ownership alongside a senior team. You won't be designing the architecture on day one — but you will be trusted to build within it, improve it, and prove you're ready for more.

What You’ll Do

Build and Manage Data Pipelines

Build and maintain production ELT pipelines ingesting data from Google Ads, Meta Ads, and Microsoft/Bing Ads APIs — as well as CRM, call tracking, and lead event sources — into our BigQuery data ecosystem
Own reliable Bronze layer ingestion for your assigned sources, with audit trails and no silent failures
Extend and maintain API connectors (REST/OAuth2) within our established Cloud Run patterns, and troubleshoot integration issues to root cause rather than working around them

Deliver Within the Platform Architecture

Implement Silver layer transformation logic and contribute Gold layer Dataform models serving Command Centre, client reporting, and future AI/ML consumers — working from designs set by the Data Team leadership
Raise gaps, risks, and improvement opportunities in the architecture proactively — bring a proposed approach, not just the problem
Contribute to the CDMID join logic that unifies CRM, ad platform, and call tracking data into coherent lead records across client accounts

Manage Data Warehousing and Modeling

Develop and maintain BigQuery data models for your assigned domains, applying dimensional modeling fundamentals with consistent naming, structure, and documentation
Deliver clean, trusted, cost-metric-driven datasets that let our team move beyond vanity metrics to cost-per-issued-lead and cost-per-demo insights

Automate and Optimize

Write SQL & Python-based automation using GCP services — Cloud Run, Cloud Functions, and Pub/Sub — to orchestrate workflows and eliminate manual processes
Monitor and tune pipelines and BigQuery queries for performance and cost-efficiency, flagging systemic issues before they compound
Help graduate workflows off low-code automation tools and onto reliable, auditable pipelines

Own Data Quality, Documentation and Responsible Data Handling

Implement quality checks and validation on everything you ship — and treat testing & documentation as part of delivery, not an afterthought
Proactively monitor pipeline health and resolve the root causes of data discrepancies, not just flag them
Handle lead and client data responsibly: respect consent boundaries, follow least-privilege access practices, and avoid introducing PII where it is not needed

What We Are Looking For

Non-Negotiables

2–4 years of hands-on data engineering or analytics engineering experience with real production contributions — you've built and maintained pipelines that other people depended on
Strong SQL and working Python proficiency for data transformation, scripting, and pipeline development
Hands-on experience with BigQuery or an equivalent cloud data warehouse (Snowflake, Redshift)
Practical experience integrating third-party APIs (REST, OAuth2) into data workflows
Working experience with at least part of the GCP stack — or strong equivalent cloud experience and a demonstrated ability to ramp quickly
Solid grasp of data warehousing fundamentals: staging vs. modeled layers, incremental loads, deduplication, and idempotent design
Version control (Git) and code review as daily working habits

Who You Are

Accountable for outcomes — you take responsibility for the reliability of what you ship, not just task completion
Proactive — you ask scoping questions before starting work, surface problems you observe, and renegotiate timelines early when scope grows
Quality-minded — you balance delivery pace with maintainability and avoid shortcuts that create downstream debt
A clear communicator — you document decisions, flag risks before stakeholders do, and participate constructively in peer review
Kaizen-driven — you leave systems better than you found them and raise improvement opportunities without being asked

Nice to Haves

Direct experience with a major ad platform API (Google Ads, Meta Marketing API, or Microsoft Ads)
Dataform, dbt, SQLMesh, or an equivalent transformation framework
Pub/Sub or other event-streaming experience
Background in performance marketing, ad-tech, or a multi-client agency environment
CRM data pipelines (Salesforce, HubSpot, LeadPerfection) or call tracking data integration
Prior experience replacing fragile low-code automation with production-grade pipelines
Awareness of privacy-compliant measurement (consent signals, server-side tracking, PIPEDA/GDPR basics)

What You Will Not Do

Design the platform architecture solo — you will execute within it and inform it, with clear direction and code review from senior engineers
Own media buying, campaign strategy, or client-facing reporting delivery — your role is the infrastructure that makes those possible
Work in a legacy or on-premise environment — this is a fully cloud-native GCP stack

What We Offer

An incredible team and culture — high-performance, feedback-oriented, and data-driven, where everyone is empowered to succeed. Our culture thrives on collaboration, extreme ownership, and Kaizen. This is more than a workplace — it's a place where you'll grow, learn, and thrive alongside passionate teammates who are as invested in your success as you are
Real ownership of production systems within a platform being built from the ground up — with a clear runway to grow your scope as you prove it
Be part of the #1 fastest-growing marketing company in Canada, redefining performance marketing for the home improvement industry
A modern, GCP-native stack with AI embedded in daily workflows — Claude and Gemini are tools you'll use every day, not novelties
Exposure to AI/NLQ, MMM modeling, and ML optimization layers as the proprietary platform matures
Fully remote work environment with the flexibility to work from anywhere in Canada
3+ weeks of paid time off annually, with the freedom to use them as you see fit
Comprehensive group benefits including health, dental, and vision
Company-provided MacBook Pro and home office budget to help you create your ideal workspace
A work abroad policy to support you when you need a fresh perspective
Merch deliveries and opportunities to connect with teammates at meetups and company-wide events
A defined growth path toward Senior Data Engineer for those who demonstrate consistent ownership, quality, and impact

Other

Job-Type: Full-Time Permanent
Standard business hours: 9am – 5pm EST
Working Arrangements: Remote within Canada — Occasional in-office collaboration opportunities. Candidates must be legally eligible to work in Canada.
This posting is for an existing vacancy
Base Salary: $90,000 - $120,000 CAD

Clever Digital Marketing values the unique skills and experiences each individual brings to the team. We are happy to provide reasonable accommodations to candidates in need of support during the recruitment and selection process. Please note that artificial intelligence (AI) may be utilized during the interview or candidate evaluation process to support the fair and efficient screening, assessment, and selection of applicants.

Data Engineer

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