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2 дня назад

Engineering Manager (Data)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager (Data): Leading cross-functional data and platform teams to build a scalable data platform with an accent on data engineering processes, high availability, and reliability. Focus on translating business and AI requirements into a technical roadmap and reducing technical debt while scaling the organization.

Location: Must be based in Europe (Opportunity to work remotely)

Company

hirify.global is a financial services provider specializing in trading and investment platforms.

What you will do

  • Lead and develop cross-functional data and platform teams, owning delivery and technical outcomes.
  • Partner with Product, Analytics, and Data Science/ML teams to translate AI and business requirements into a scalable roadmap.
  • Evolve data engineering processes, including CI/CD, testing, data quality, and release management.
  • Contribute to architectural decisions for hybrid infrastructure (batch, streaming, and lakehouse).
  • Ensure high availability, observability, and reliability of production pipelines and platform services.
  • Mentor engineers and drive team scaling initiatives to foster a culture of ownership and continuous improvement.

Requirements

  • 5+ years of professional software or data engineering experience.
  • Proven experience leading engineering teams as an Engineering Manager or Team Lead.
  • Strong background in financial systems, FinTech, or other high-reliability regulated domains.
  • Expertise in data modeling, distributed data processing, and pipeline orchestration.
  • Hands-on experience with the modern data stack (batch/streaming processing, orchestration, and warehousing).
  • Knowledge of CI/CD pipelines and infrastructure automation for data workloads.

Nice to have

  • Experience building platforms for AI/ML workloads (feature stores, MLOps, vector stores).
  • Experience with low-latency or high-throughput data systems.
  • Exposure to trading or market-data platforms.
  • Knowledge of data governance and regulatory compliance (PII handling, audit) in financial environments.

Culture & Benefits

  • 20 paid vacation days and 10 paid sick leave days per year.
  • Medical insurance and wellness budget (gym, sports gear).
  • Remote work opportunities.
  • Professional education and language learning budgets.
  • Paid public holidays according to the company list.

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