Teams at Avanquest

Coordinates digital marketing initiatives across campaigns, brands, markets, and internal teams. Develops creative and landing-page briefs, manages timelines and dependencies, monitors market and customer insights, coordinates A/B testing, and prioritizes optimization opportunities. Uses GA4, Microsoft Clarity, Power BI, advertising data, AI, and LLM tools to evaluate performance, support localization, generate insights, and recommend improvements.

Own and optimize paid acquisition campaigns across multiple products and markets. Manage budgets, bids, targeting, conversion goals, testing roadmaps, and performance across search, display, video, social, native, and emerging AI advertising channels. Use business metrics such as CAC, ROAS, customer value, payback, and profitability to guide decisions. Collaborate with creative, CRO, Product, UX, Analytics, and Data teams while using automation and AI responsibly.

Designs, develops, and maintains robust data ingestion and processing pipelines in Databricks. Responsibilities include ETL scripting, data cleaning, pipeline monitoring and optimization, data lineage and quality assurance, storage solution deployment, and engineering documentation. Requires at least five years of data engineering experience, strong Python and SQL skills, and knowledge of lakehouse concepts and ETL tools. dbt and cloud platform experience are preferred.