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Job Cloud
March 2025 - Ongoing
Digital Marketing - SEO
Germany, France
JobCloud is a leading Swiss digital recruitment platform that connects job seekers with employers through innovative online job portals and matching technology. Operating across multiple regions, JobCloud offers tailored hiring solutions and labor market insights to help businesses attract the right talent while empowering candidates with access to localized and relevant job opportunities.
Full Revamp of Marketing Attribution Model
Automated SEO Insights Pipeline Scalable ETL Framework for API-Based Enrichment
Modular Transformation Layer for Future-Proofing
Data Engineers
GCP Cloud Architects
Python Developers
Marketing nalytics Consultants
Contractual Hiring
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
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Legacy and modern data sources (GA3, GA4, GTM) produced conflicting attribution results.
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Manual keyword research slowed down content strategy and regional market tracking.
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Lack of error tracking and logging made maintenance and debugging reactive and time-consuming.
The project kicked off with a full rebuild of the attribution model using consistent transformation logic in BigQuery. A modular approach ensured that attribution rules could be easily updated as campaigns evolved. In parallel, an automated SEO pipeline was launched using Python and DataforSEO’s APIs to track search trends across French and German job-related keywords. All components were designed with scale, security, and traceability in mind.
The following strategic questions guided the solution architecture:
● How can we unify attribution rules across GA3, GA4, and GTM into a single, reliable model?
● What API orchestration strategy supports scheduled SEO data ingestion with error handling?
● How do we enable dynamic rule updates without breaking downstream pipelines?
● What logging structure provides maximum traceability without increasing operational overhead?
Modular Attribution and Scalable SEO Data Infrastructure
To address inconsistencies in attribution and streamline SEO operations, we implemented a fully modular semantic layer in BigQuery, unifying GA3, GA4, and GTM data under consistent logic. Python-based ETL pipelines were built to automate keyword tracking using the DataforSEO API, orchestrated via Cloud Scheduler.
Monitoring was improved through centralized logging in Google Cloud Storage, enabling faster error resolution and increased observability.
The entire architecture was designed with scalability in mind—parameter-driven components allow for easy expansion across new rules, markets, or APIs without disrupting existing logic. This solution enhanced data accuracy, operational speed, and long-term maintainability.
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Accuracy in attribution consistency across all marketing sources
hours/week saved from manual keyword research and pipeline troubleshooting
international regions covered with automated SEO insights
uptime for attribution pipelines post-deployment over 3 months
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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