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2 дня назад

Senior Data Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Fintech) (Python/Flink/GCP): Building historization capabilities, batch pipelines, data quality frameworks, and observability tooling for fraud-prevention data with an accent on point-in-time-correct datasets, scalable processing, and reliable model workflows. Focus on designing resilient data products, detecting data drift and pipeline failures, and maintaining consistency between batch and real-time processing.

Location: Berlin, Germany; hybrid model with two days per week at the Berlin campus

Company

hirify.global operates a global local delivery and quick-commerce platform serving around 65 countries.

What you will do

  • Build historization capabilities and accurate, point-in-time-correct datasets for model training, backtesting, and analysis.
  • Design and develop scalable batch pipelines that complement the existing Flink-based streaming platform.
  • Develop controls for data completeness, freshness, anomaly detection, reconciliation, and business-logic accuracy.
  • Build observability tooling to identify pipeline failures, data drift, and data-quality issues before they affect fraud rules and downstream models.
  • Partner with Data Scientists, Engineering teams, and Fraud Operations to turn fraud-prevention use cases into resilient data products.
  • Own data solutions throughout design, development, deployment, operation, and continuous improvement.

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.
  • Understanding of feature preparation, model training, backtesting, and inference workflows.
  • Experience building data-validation frameworks, monitoring, alerting, and data lineage for production systems.
  • Track record of owning data solutions from design and implementation through deployment and operations.

Culture & Benefits

  • Hybrid work with regular face-to-face collaboration at the Berlin campus.
  • 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 access to Udemy Business.
  • Health checkups, meditation, gym subsidy, and life and accident insurance.
  • Employee share purchase plan, sabbatical bank, public transportation discount, corporate pension plan, and meal or food vouchers.
  • Relocation information and support for moving to Berlin.

Hiring process

  • Interview preparation materials are provided, including common interview questions and answers.
  • Accessibility accommodations can be requested during the interview process.

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