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1 день назад

Data Engineering Manager (LegalTech)

288 000 - 432 000PLN
Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineering Manager (LegalTech): Leading and growing a high-performing data engineering team while actively contributing to the design and evolution of core data platforms and pipelines with an accent on scalable architecture and modern lakehouse solutions. Focus on building reliable, efficient data systems and fostering a culture of technical excellence to support high-stakes legal intelligence.

Location: Must be based in Poland (Kraków office available, remote work supported).

Salary: 288,000–432,000 PLN

Company

hirify.global is a leading legal data intelligence company providing AI-powered, cloud-based platforms for litigation, investigations, and regulatory inquiries.

What you will do

  • Build, mentor, and develop a high-performing data engineering team.
  • Contribute hands-on to data pipelines, platform engineering, and architectural design.
  • Define and evolve engineering standards for reliable, scalable, and maintainable systems.
  • Ensure systems are observable, secure, and compliant with governance requirements.
  • Collaborate with Product, Analytics, and Applied Science teams to shape roadmaps.
  • Communicate priorities, risks, and progress to key stakeholders.

Requirements

  • 2+ years of experience leading data or software engineering teams.
  • Hands-on experience building and operating large-scale data processing systems.
  • Proficiency in Python and SQL.
  • Knowledge of lakehouse technologies like Delta Lake or Apache Iceberg.
  • Familiarity with modern data platforms such as Databricks or Snowflake.
  • Solid understanding of software engineering best practices and CI/CD automation.

Nice to have

  • Experience with distributed data processing frameworks like Spark or Flink.
  • Experience building self-service analytics or internal data platforms.
  • Understanding of AI/ML workflows and data requirements for model development.

Culture & Benefits

  • Competitive base salary with annual performance bonus and long-term incentives.
  • Commitment to inclusive, diverse, and equitable compensation practices.
  • Focus on knowledge sharing and continuous improvement.
  • Support for pro bono legal work and expanding access to technology.
  • Comprehensive benefits package including parental leave and equity program.

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