Adge is revolutionizing brand marketing by transforming performance alignment to unlock hidden potential. Over 90% of brand content currently falls short of profitability, but Adge bridges this gap through cutting-edge technology. Utilizing comprehensive data analysis and AI, we deconstruct marketing content into key attributes to create data-driven strategies that boost performance. We are replacing guesswork with advanced analytics, allowing brands to achieve greater impact and reduce costs.

We are seeking a Senior Data Engineer with strong web scraping and data ingestion experience to design and own our data pipelines end-to-end. This role is ideal for someone who enjoys building robust systems that turn messy, high-volume external data into reliable, analytics-ready assets powering AI models and real-time insights.

• Design and maintain scalable ETL/ELT pipelines for structured and unstructured data
• Build and operate scraping and data collection systems from diverse external sources
• Ensure data quality, validation, enrichment, and lineage
• Optimize data storage and query performance for analytics and ML workloads
• Collaborate with data scientists on feature generation and model inputs
• Support real-time and batch ingestion use cases
• Improve reliability, monitoring, and cost efficiency of data infrastructure

• 6+ years of experience in Data Engineering
• Formal education in Computer Science or a related field
• Strong experience with Python for data pipelines and scraping
• Proven experience with scraping frameworks (Scrapy, Playwright, Selenium, custom crawlers)
• SQL knowledge and experience with analytical data stores (BigQuery, ClickHouse, Snowflake, or similar)
• Experience with streaming or messaging systems (Kafka, Pub/Sub)
• Hands-on experience with GCP or AWS
• Experience with data orchestration tools (Airflow, Dagster, Prefect)
• Strong understanding of data modeling and performance optimization
• Experience in AdTech or a high-growth startup environment is a strong advantage