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2 дня назад

Engineering Manager (DWH Data Tools)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b1
Релокация
Serbia/Spain/Cyprus +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Engineering Manager (DWH Data Tools) (Python/Node/Go): Managing and evolving data ecosystem tools including Superset, Jupyter Hub, and DataHub while developing internal BI and data-exploration solutions with an accent on engineering leadership, data-platform architecture, and service reliability. Focus on leading engineers, translating user pain points into technical designs, maintaining DWH tools under SRE processes, and balancing shifting priorities.

Location: Worldwide; remote work available. Flexible work is also available from company offices. Relocation support is offered to hubs in Cyprus, Serbia, Spain, or Georgia.

Company

hirify.global, formerly Different Technologies, develops fintech products and supporting data platforms.

What you will do

  • Lead, mentor, and manage the DWH Data Tools engineering team, including performance management, 1-on-1s, hiring, and professional development.
  • Oversee the evolution and maintenance of Superset, Jupyter Hub, and DataHub.
  • Lead the architecture, design, and implementation of internal BI, data-exploration, and other custom data tools.
  • Collaborate with product stakeholders, data engineers, analysts, and other teams to translate user pain points into technical solutions.
  • Drive team planning and delivery while managing flexible deadlines and changing business priorities.
  • Ensure reliability, stability, service maintenance, and incident control in line with SRE processes.

Requirements

  • At least 1 year of experience managing engineering teams in a fast-paced environment.
  • Strong technical expertise with Python and experience with Go or Node.js.
  • Experience designing, deploying, and managing data tools such as BI platforms, data notebooks, or data catalogs.
  • Experience with hiring, team development, performance management, delivery management, and cross-functional collaboration.
  • Ability to plan flexibly, prioritize effectively, and work amid ambiguity and changing requirements.
  • English at B1 level or higher is required for communication with an international team.

Nice to have

  • Experience implementing or maintaining services alongside SRE processes.
  • Experience in data warehousing, banking, or fintech.
  • Familiarity with Superset, Jupyter Hub, or DataHub internals.
  • Experience with Apache Kafka, Airflow, DBT, Kubernetes, Snowflake, or Lake House architectures.

Culture & Benefits

  • Remote or office-based work with flexible arrangements.
  • Relocation assistance for employees and their families.
  • Healthcare coverage, paid sick leave, and 20 days of annual leave.
  • Education budget for language lessons, professional training, and certifications.
  • Wellness budget supporting mental health and fitness activities.
  • Collaborative environment focused on innovation, transparent feedback, and recognition of achievements.

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