Senior Data & Analytics Engineer
Core
Own the foundation for data-driven decisions, setting the direction for the data platform, bringing structure to data governance, and owning the data infrastructure to support product managers, marketers, and data scientists.
Role type
Senior Data & Analytics Engineer (Platform & Governance)
Builds
Scalable data ingestion pipelines, a clean modeling layer (dbt), and a governed data stack for self-serve analytics.
Domain
Travel technology / B2C mobile app / Data Infrastructure
Required skills
SQL, Python, data modeling in modern warehouses (ClickHouse, Snowflake, BigQuery, Redshift), dbt, orchestration (Airflow, Dagster), cloud infrastructure (AWS/GCP/Azure), infrastructure-as-code (Terraform), CI/CD for data, data governance, product analytics (Mixpanel, Amplitude), BI tools (Metabase, Looker).
Preferred skills
Mobile attribution/marketing data (AppsFlyer, SKAdNetwork), reverse ETL/CDPs (RudderStack, Segment), experimentation data/A/B testing infrastructure, GDPR compliance.
Responsibilities
Own the data platform roadmap and strategy; design and maintain scalable ingestion pipelines for internal and external sources; build and maintain a documented modeling layer; lead data governance (standards, schema changes, documentation); embed privacy in the data stack; monitor stack health (quality, alerting, cost); define ownership of data tooling; enable data enrichment; explore LLM usage for analysis.
Seniority
Senior, hands-on IC with strategic ownership.