SMG Swiss Marketplace Group

HQ
Zürich
Total Offices: 8
782 Total Employees

Jobs at SMG Swiss Marketplace Group

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7 Days AgoSaved
Hybrid
Belgrade, Belgrade City, Central Serbia, SRB
AdTech • Marketing Tech • Software
The Salesforce Developer will design, develop, maintain, and improve Salesforce solutions using Apex, Lightning Web Components, Flow, and related tools. Responsibilities include building system integrations, translating requirements into scalable solutions, troubleshooting issues, evaluating new platform capabilities, and maintaining code quality. The role collaborates with Engineering, Sales, Service, Marketing, Data, and other teams in a hybrid environment.
7 Days AgoSaved
Hybrid
Belgrade, Belgrade City, Central Serbia, SRB
AdTech • Marketing Tech • Software
Build and maintain scalable GCP data pipelines, data lake and warehouse infrastructure, and data products. The role includes data integration, quality monitoring, BigQuery optimization, data modeling, dashboards, and real-time Customer Data Platform pipelines. Collaborate with analytics, product, marketing, and machine learning teams to support personalization, experimentation, targeting, and ML-ready datasets. Drive automation, documentation, testing, deployment, operational reliability, and end-to-end delivery of data initiatives.
AdTech • Marketing Tech • Software
Owns SEO strategy and organic growth across SMG marketplaces, including product-led SEO, technical optimization, scalable landing page systems, and AI search initiatives. Partners with Product, Engineering, Marketing, and Data teams to define roadmaps, develop hypotheses, estimate business impact, run experiments, and measure results through business KPIs.
25 Days AgoSaved
Hybrid
Valbonne, Alpes-Maritimes, Provence-Alpes-Côte d'Azur, FRA
AdTech • Marketing Tech • Software
Build and improve data infrastructure, data lakes, pipelines, analytical systems, and machine-learning services. Source, store, process, and analyze large datasets reliably and securely; integrate multiple data sources; and deploy scalable, production-ready services using models developed by data scientists. The role also requires learning unfamiliar datasets quickly and collaborating across international teams in ambiguous environments.