Senior Data & Analytics Engineer

Location: Amsterdam, Netherlands. Hybrid working with at least 2 days per week in the office; the role is based in the Amsterdam office.

Company

hirify.global develops a travel app for planning, tracking, and reliving trips, serving more than 23 million users.

What you will do

• Own the data platform roadmap, data infrastructure strategy, warehouse direction, tooling decisions, and execution with DevOps.
• Design, build, and maintain scalable ingestion pipelines for product events, backend data, ad platforms, attribution, and app store sources.
• Build and maintain a documented modeling layer serving analysts, data scientists, and self-service product managers.
• Lead data governance, including tracking standards, event ownership, schema changes, documentation, and dashboard ownership.
• Embed privacy through data categorization, minimization, and pseudonymization in collaboration with Legal.
• Own monitoring, alerting, data quality, cost management, data enrichment, and safe LLM-based analysis while partnering with Product, Engineering, and Growth.

Requirements

• 5+ years of experience in data engineering, analytics engineering, or a hybrid data role, ideally in a B2C product or mobile app company.
• Strong SQL and Python skills, with hands-on experience modeling large event datasets in a modern warehouse such as ClickHouse, Snowflake, BigQuery, or Redshift.
• Experience with dbt and an orchestration tool such as Airflow or Dagster.
• Proven experience establishing data governance, including tracking plans, event ownership, documentation, and data quality.
• Experience with product analytics tools such as Mixpanel or Amplitude and BI tools such as Metabase or Looker.
• Experience making infrastructure decisions involving cloud platforms, infrastructure-as-code such as Terraform, and CI/CD for data.
• Ownership-driven, pragmatic approach with the ability to set strategy and handle operational data hygiene.
• Excellent communication skills for explaining trade-offs to technical and non-technical stakeholders.

Nice to have

• Mobile attribution or marketing data experience, including AppsFlyer, SKAdNetwork, or ad platform APIs.
• Experience with reverse ETL or CDPs such as RudderStack or Twilio Segment.
• Experience with experimentation data and A/B testing infrastructure.
• Knowledge of GDPR and responsible handling of personal data in analytics stacks.

Culture & Benefits

• Hybrid work with home-office flexibility and required in-office collaboration in Amsterdam.
• Up to 8 weeks per year working from another country, plus an extensive home-office setup.
• 30 vacation days, two paid Culture Days, and a pension plan.
• Personal development budget, daily team lunches, monthly parties, and team trips.
• MacBook, reimbursed travel costs, free hirify.global Travel Books, and one yearly free flight or train ride.
• Inclusive environment with encouragement for people underrepresented in the tech industry to apply.