Senior Data Engineer (Mobile App & AdTech / Data Platform)

ABOUT THE ROLE:
As a Senior Data Engineer, you will be a key driver in designing, scaling, and operating the data backbone across our entire Mobile Apps & Games ecosystem. You will be responsible for transforming tens of millions of raw event logs (in-app events, MMP tracking, ad network revenues) into robust Data Warehouse models, high-performance feature pipelines for ML/AI models (LTV forecasting, anomaly detection), and internal self-service analytics platforms for Product & Growth Squads.
JOB DESCRIPTION:
Build and operate end-to-end ELT/ETL data pipelines (batch & near-realtime) to ingest data from MMPs (Adjust, Qonversion), Ad Networks (Google Ads, AdMob, AppLovin, Mintegral, Apple Search Ads,...), and in-app event tracking into the Data Warehouse.
Design schema architectures (Star/Snowflake), optimize complex analytical queries, partitioning, clustering, and storage costs on Google BigQuery and modern columnar databases.
Build, scale, and maintain workflow orchestrations using Apache Airflow, Celery, Redis, and Docker on Cloud environments (GCP/Compute Engine).
Develop custom Model Context Protocol (MCP) servers, agent tools, and data APIs to connect LLMs and AI IDEs directly with data warehouses, documentation vaults, and internal systems.
Construct reliable feature stores and datasets for Machine Learning/AI initiatives (LTV forecasting, payback modeling, anomaly detection) and assist in model serving pipelines.
Implement data observability, automated monitoring, and data quality checks; develop internal data tools and self-service dashboards using Streamlit and Metabase/Looker Studio.
Establish engineering best practices, data modeling standards, and comprehensive documentation (Data Dictionaries, Architecture Blueprints).