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5 дней назад

Engineering Manager, Connectors & Data Factory

6 600 - 7 600€
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager, Connectors & Data Factory (Data Engineering/AI): Leading a six-person team building and operating a platform that ingests customer data from enterprise source systems and transforms it into a common data model with an accent on delivery ownership, team development, and technical health. Focus on guiding architecture and reliability decisions, improving development workflows with AI-assisted development, and coordinating complex data integration needs across engineering and product teams.

Location: Helsinki, Finland. Flexible hybrid work is available, with attendance at the Helsinki office required at least once a week.

Salary: EUR 6,600–7,600 per month, with higher compensation possible for particularly senior profiles.

Company

hirify.global is a Finnish procurement analytics SaaS company that helps large enterprises analyze procurement data, optimize spend and supply chains, reduce emissions, and improve resilience.

What you will do

  • Lead the six-person Connectors & Data Factory team and own delivery priorities, planning, dependencies, risks, reliability, capabilities, and technical debt.
  • Hire, coach, support career growth, provide feedback, and handle performance issues.
  • Guide technical decisions, architectural discussions, maintainability, testing, security, and team ways of working.
  • Partner with the product manager, Data Engineers, and product teams to turn platform needs into deliverable plans and make informed trade-offs.
  • Improve shared engineering practices and contribute to engineering-wide decisions with other leaders.

Requirements

  • Experience leading engineering teams, including hiring, coaching, and supporting people through difficult performance situations.
  • Engineering background with experience in data engineering, including extracting, transforming, and operating data from multiple source systems.
  • Ability to participate in architecture discussions, challenge assumptions, and balance delivery needs with reliability and maintainability.
  • Good judgment in ambiguous situations, with the ability to make thoughtful trade-offs, explain decisions, and adapt as information changes.
  • Practical experience improving development workflows and adopting new tools and practices, including AI-assisted development.
  • Hands-on understanding of AI capabilities and limitations, sufficient to guide adoption and make informed decisions without owning delivery-critical implementation.
  • Clear, thoughtful communication in English, including explaining technical decisions to non-engineering stakeholders and aligning engineering, product, and business teams.

Nice to have

  • Experience with enterprise ERP systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics, or enterprise data integration architectures.
  • Experience with Azure, Databricks, Python, and SQL.
  • Experience with large-scale cloud data infrastructure, data lakes, or distributed data processing.
  • Familiarity with procurement, spend analytics, supply chain, or enterprise finance processes.
  • Experience working with customer finance, information security, or IT teams, external technology partners, or software vendors.

Culture & Benefits

  • Flexible hybrid work with a Helsinki office and tools for remote work.
  • Freedom and responsibility, with trust to own work and make decisions.
  • International workforce representing more than 40 nationalities.
  • Equity program, extensive healthcare, phone plan, home internet connection, referral bonus, sports and culture benefits, and self-development support.
  • Family-friendly environment and opportunities to participate in office and team events.

Hiring process

  • Submit a CV and optionally a few words about strengths and motivation for leading the Connectors & Data Factory team.
  • Interviews include conversations with a Talent Acquisition Partner, the future manager, Engineering Managers, and the SVP of Engineering.
  • The process includes a technical system-thinking conversation with engineers, without a coding exercise; expectations are shared before each stage.

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