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2 дня назад

Azure Data Engineer (Fintech)

2 330
Формат работы
hybrid
Тип работы
fulltime
Английский
c1
Страна
Slovakia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Azure Data Engineer (Azure/Databricks): Designing and implementing scalable data architectures and ETL pipelines for a risk accumulation management platform with an accent on data migration from legacy sources to a Databricks-based platform. Focus on building robust batch jobs using Delta Lake and establishing comprehensive data quality frameworks.

Location: Hybrid in Bratislava, Slovakia

Salary: 2330 EUR

Company

One of the largest global insurers providing comprehensive risk management and insurance solutions.

What you will do

  • Design and implement target data models for risk accumulation and catastrophe exposure.
  • Architect and develop ETL pipelines to migrate legacy data into a modern Databricks platform.
  • Integrate underwriting pipeline data (submissions and quotations) into stakeholder accumulation reports.
  • Build and optimize long-running batch jobs for data transformation and snapshot management using Delta Lake.
  • Establish automated data quality frameworks, validation checks, and monitoring systems.
  • Collaborate with API developers and technology teams to deliver a reliable data platform.

Requirements

  • Strong experience with SQL and relational data modelling for analytical and reporting workloads.
  • Proficiency in Python, specifically with PySpark, Pandas, and NumPy.
  • Hands-on experience with Databricks (Delta Lake, Lakehouse architecture, job orchestration).
  • Demonstrated experience building large-scale ETL/ELT pipelines.
  • Familiarity with Git, CI/CD, and DevOps best practices.
  • English: C1 level (excellent written and spoken) required.
  • Location: Must be based in or able to work hybrid in Bratislava.

Nice to have

  • Experience with Azure Data Factory, Azure Storage, and Azure SQL.
  • Knowledge of insurance data structures (catastrophe exposure, reinsurance).
  • Experience with Databricks Feature Serving or Model Serving technologies.
  • Familiarity with data governance and cataloguing practices.
  • Prior experience in insurance or financial services.

Culture & Benefits

  • Flexible working arrangements: Personal days off, concentrated work week, and workation options.
  • Comprehensive insurance: Life insurance from Zurich Austria and compensation for sick leave.
  • Financial perks: 3rd pension pillar contribution, wedding bonus, baby bonus, and years of service bonus.
  • Wellness and office perks: In-office massages and electronic cafeteria.
  • Development: Professional certifications, online education portals, and GALLUP strengths-based culture.

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