Data Engineer (BigQuery)

Location: Worldwide; fully remote, office-based, or hybrid work options are available.

Salary: EUR 1,800–2,950 gross per month; final compensation depends on experience, location, and professional growth.

Company

hirify.global is an outsourcing company delivering technology projects for customers in financial services and other industries.

What you will do

• Gather and clarify requirements from marketing analysts and BI stakeholders, translating them into attribution logic, source, and data mart changes.
• Lead migration of dbt models, Airflow DAGs, and sources to the core data warehouse, running old and new pipelines in parallel and validating data parity.
• Build and optimize incremental BigQuery data marts with dbt, SQL, and Airflow, including recalculations and backfills.
• Design data quality checks, investigate discrepancies, and analyze external inputs such as AppsFlyer, ad network cost feeds, Google Sheets dictionaries, and upstream marts.
• Participate in testing, data validation, releases, and repointing downstream consumers.
• Maintain technical documentation and share domain knowledge across the team.

Requirements

• 3+ years of experience as an Analytics Engineer, DWH Engineer, or Data Analyst working with data warehouses.
• Hands-on experience with data warehouses, DWH architecture, and data layers including ODS and data marts.
• Understanding of incremental loads, historical data handling, and deduplication.
• Expert SQL skills and experience designing and optimizing data marts.
• Experience with BigQuery or a similar columnar database.
• Experience with dbt on large incremental projects and with Airflow or a similar orchestration tool.
• Experience migrating pipelines between platforms with data parity validation.
• Knowledge of Python for data processing and ETL tasks.
• Ability to work with stakeholders and translate business needs into data requirements; English at Intermediate+ level or above.

Nice to have

• Experience with mobile and marketing attribution data using AppsFlyer, Adjust, or Branch, including ad network cost data, SKAN, and ATT.
• Familiarity with ad fraud detection and analytics, particularly AppsFlyer Protect360.
• Experience with GCP, including Cloud Storage and Dataform.
• Experience with Lightdash, Looker, Tableau, or similar analytics and BI tools.

Culture & Benefits

• Opportunity to work with leaders in FinTech, Healthcare, Retail, Telecom, and other business domains, with the possibility to change projects and develop expertise.
• Mentoring and onboarding systems, professional and career development opportunities, and access to a continuously updated corporate training portal.
• Up to an additional EUR 1,000 per month depending on expertise, included in the annual bonus through participation in company activities.
• Private health insurance and sports compensation depending on the type of employment.
• Certification compensation, referral program, and corporate social activities.