Senior Data Analytics Engineer (BigQuery/dbt)

Location: Europe, Poland, or Kazakhstan

Company

hirify.global is a software development company delivering custom software solutions for businesses of different sizes.

What you will do

• Gather requirements from marketing analysts and BI stakeholders and translate them into attribution logic, source, and data mart changes.
• Lead the migration of dbt models, Airflow DAGs, and source integrations to the core data warehouse platform.
• Run legacy and new pipelines in parallel, reconcile outputs, validate data parity, and coordinate the transition.
• Build and optimize incremental BigQuery data marts using dbt and SQL, including recalculations, backfills, and historical processing.
• Integrate AppsFlyer, advertising cost feeds, Google Sheets dictionaries, and upstream data marts.
• Implement data quality checks, investigate discrepancies, support releases, and maintain technical documentation.

Requirements

• 5+ years of experience as an Analytics Engineer, DWH Engineer, Data Analyst, or in a related role.
• Strong data warehouse architecture knowledge, including ODS, data marts, incremental loads, historical data handling, and deduplication.
• Expert-level SQL and good Python skills for data processing and ETL.
• Experience with BigQuery or a similar columnar database, dbt on large-scale incremental projects, and data mart optimization.
• Experience migrating data pipelines, validating data parity, and using Airflow or a similar orchestration tool.
• English: Intermediate or higher; location in Europe, Poland, or Kazakhstan.

Nice to have

• Experience with mobile or marketing attribution data, including AppsFlyer, Adjust, Branch, SKAN/ATT, or Protect360.
• Familiarity with Google Cloud Platform, Cloud Storage, Dataform, Lightdash, Looker, or Tableau.

Culture & Benefits

• Work in a large-scale international product environment supporting a global mobility and urban services platform.
• Flexible working time organized around team delivery needs.
• Access to learning opportunities, seminars, conferences, and time for exploring new technologies.
• Co-funding for English language courses.