Job Title

About the roleWe are hiring a highly skilled Data Engineer to sit at the intersection of data engineering and social/native ad platforms. You will design and own scalable data pipelines, high-quality datasets, and be a key contributor in shaping technical decisions that drive real business outcomes — revenue, lead quality, and conversion efficiency.This role goes beyond building pipelines. You will own the full picture: architecture, data quality, and how data is trusted and acted upon across marketing and growth teams.What you'll doDesign, build, and maintain robust data pipelines for social marketing and product data sources (APIs, event streams, batch systems)Develop scalable ETL/ELT workflows and microservices using Python and SQLOwn ingestion and modeling of data from Meta Ads (Facebook) and other digital marketing platformsBuild datasets supporting campaign performance tracking, lead funnel analysis, and attribution/conversion trackingTranslate business requirements from marketing, growth, and product teams into scalable data solutionsImplement validation checks, monitoring, and alerting for pipelinesDesign and drive modular, reusable microservices and engineering standards across the teamOwn end-to-end use cases: lead funnel optimization, campaign attribution, revenue reporting and forecastingWhat we're looking forStrong proficiency in Python (must-have) and advanced SQL for large-scale data processingHands-on experience with data ingestion from APIs (rate limits, pagination, retries)Experience with data orchestration tools (Airflow or equivalent)Familiarity with cloud data platforms (BigQuery, etc.)Solid understanding of Meta Ads platform fundamentals — campaign hierarchy, CTR/CPC/CPA/ROAS, attribution models, lead gen workflowsFamiliarity with event tracking systems (GA4, Snowplow, etc.)Understanding of performance and cost optimization in data systemsNice to haveExperience with other ad platforms (Google Ads, Bing Ads)Knowledge of data modeling best practices (star schema, dbt)Experience with real-time or near real-time data pipelinesIf this excites you write to to know more.