Department: Data & Engineering Data Engineer 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.

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.

Our commitment to authenticity, collaboration, and continuous improvement ensures we remain a powerhouse of growth and measurable results for every client we serve. 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.

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 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 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 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. Version control (Git)



and code review as daily working habits Accountable for outcomes — you take responsibility for the reliability of what you ship, not just task completion 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 Direct experience with a major ad platform API (Google Ads, Meta Marketing API, or Microsoft Ads) Dataform, dbt, SQLMesh, or an equivalent transformation framework 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 Design the platform architecture solo — you will execute within it and inform it, with clear direction and code review from senior engineers An incredible team and culture — high-performance, feedback-oriented, and data-driven, where everyone is empowered to succeed. 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 ~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 ~ A defined growth path toward Senior Data Engineer for those who demonstrate consistent ownership, quality, and impact Job-Type: Full time Permanent Remote within Canada — Occasional in-office collaboration opportunities.

Base Salary: $90,000 - $120,000 CAD Clever Digital Marketing values the unique skills and experiences each individual brings to the team. 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 Architect Data Analytics (Ottawa)
🏢 Clever Digital Marketing
📍 Ottawa