The Chance

This is a hybrid role that combines data engineering, analytics, and product strategy.

Youll build scalable datasets, design data pipelines, analyze massive amounts of search performance data, and partner with Product, Engineering, and Growth teams to identify what improves SEO and Answer Engine Optimization (AEO) performance across our platform.

Rather than building customer-facing features, youll build the intelligence that helps us decide what features to build next.

Your work will directly influence our product roadmap by helping answer questions like:
What product capabilities have the greatest impact on organic visibility
Why are certain customers or industries outperforming others
How do search engine and AI search algorithm changes affect our customers
Which product investments create measurable improvements in rankings, traffic, and conversions
Where are our biggest prospects to improve customer outcomes

What Youll Do

Build the Data Foundation
Design, build, and maintain scalable data pipelines using SQL, Python, Snowflake, dbt,



and up-to-date data engineering practices
Integrate and model data from Google Search Console, Google Business Profile, analytics platforms, ranking providers, AI visibility datasets, and internal product systems
Ensure data quality, reliability, governance, and auditability across analytical datasets
Develop reusable data models that support experimentation, reporting, and long-term product analytics
Continuously improve the performance and scalability of our analytical data infrastructure

Discover What Drives Organic Performance
Analyze billions of data points to identify the factors that influence SEO and AEO performance
Investigate underperforming customers, industries, and locations to determine root causes
Measure the impact of product features on rankings, visibility, traffic, engagement, and conversions
Evaluate search engine and AI search algorithm updates across customer c

📌 Senior Data Engineer Gurugram
🏢 Birdeye
📍 Gurugram