Senior Data Engineer (Fintech)

Location: Berlin, Germany; hybrid work with two days per week on the Berlin campus

Company

hirify.global operates a local delivery and quick-commerce platform across around 65 countries, with its headquarters in Berlin.

What you will do

• Build the next-generation data foundation for fraud prevention and financial products.
• Develop accurate, point-in-time-correct datasets for model training, backtesting, and analysis.
• Design scalable batch pipelines that complement the existing Apache Flink streaming platform.
• Build controls for data completeness, freshness, anomaly detection, reconciliation, and business-logic accuracy.
• Develop observability capabilities for pipeline failures, data drift, and data-quality issues.
• Partner with Data Scientists and Fraud Operations to deliver resilient data products and own their full lifecycle.

Requirements

• Production data-pipeline experience with Python, Airflow, dbt, and BigQuery on GCP or AWS.
• Hands-on experience with Apache Flink or a similar stream-processing framework, including event time, state, checkpointing, and late-arriving data.
• Strong understanding of feature preparation, model training, backtesting, and inference workflows.
• Experience building validation frameworks, monitoring, alerting, and data lineage for production systems.
• Experience owning data solutions from design and implementation through deployment and operations.
• Ability to work in the hybrid Berlin setup with two days per week in the office.

Culture & Benefits

• 27 days of annual leave, with an additional day in the second and third years of service.
• €1,000 educational budget, language courses, parental support, and Udemy Business access.
• Health checkups, meditation support, and gym subsidy.
• Employee Share Purchase Plan, sabbatical bank, public transportation discount, life and accident insurance, and corporate pension plan.
• Digital meal vouchers, food vouchers, and corporate discounts.
• Relocation support and information for moving to Berlin.