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8 дней назад

Senior (Lead) Data Platform Engineer (Databricks)

5 300 - 6 500€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior (Lead) Data Platform Engineer (Databricks): Building and owning a central data platform with an accent on reproducible environments, reliable large-scale data pipelines, and trustworthy data quality controls. Focus on designing cloud infrastructure, enabling engineering teams, and solving scalability, security, cost-efficiency, and integration challenges across production data systems.

Location: Helsinki, Finland; flexible hybrid working model with remote-work tools. Relocation support is available for exceptional candidates.

Salary: €5,300–€6,500/month for Senior level; €6,200–€7,400/month for Lead level. Higher compensation may be discussed for particularly senior profiles.

Company

hirify.global is a Finnish procurement analytics SaaS company that processes large-scale procurement data and helps enterprise customers generate savings, improve decision-making, reduce emissions, and strengthen supply chain resilience.

What you will do

  • Build and maintain the common Databricks infrastructure supporting the central data platform.
  • Own reproducible environments and cloud resources, including permissions, deployments, infrastructure-as-code, security, scalability, and cost efficiency.
  • Design the platform’s data architecture and reliable pipelines for processing and moving large datasets.
  • Establish monitoring, data quality checks, validation, automated testing, and production-grade engineering workflows.
  • Help engineering teams onboard to the platform and design maintainable data architectures and processing flows.
  • Gather requirements, communicate architectural trade-offs, troubleshoot integrations, and deliver platform capabilities to production.

Requirements

  • Solid data engineering and ELT experience building maintainable, code-based data pipelines.
  • Strong experience with cloud data technologies, preferably Databricks and Azure.
  • Strong SQL and Python skills, including processing large datasets with distributed technologies such as Spark.
  • Experience with Git, automated testing, clean code, reproducibility, and software engineering practices.
  • Hands-on experience with agentic development and a strong understanding of monitoring, metrics, reliability, and long-term system health.
  • Ability to own deliverables, gather technical requirements, explain trade-offs, and collaborate across engineering and product teams.

Nice to have

  • Experience building large-scale data platforms or data architectures.
  • Experience with procurement, ERP, accounting, or other complex enterprise data domains.
  • Experience with infrastructure-as-code, platform ownership, security, and cost optimization.
  • Experience with dbt, version-controlled transformations, semantic modeling, YAML, or C#.

Culture & Benefits

  • Work with modern data, cloud, and engineering technologies on production systems powering customer-facing features.
  • Flexible hybrid work with an office in central Helsinki and tools for remote work.
  • Autonomy and responsibility in shaping architecture, tooling, and engineering standards.
  • International environment with colleagues from more than 40 nationalities.
  • Healthcare, phone plan, home internet connection, equity program, referral bonus, sports and culture benefits, and self-development opportunities.

Hiring process

  • Applications are reviewed continuously through the application system.
  • CVs, GitHub links, open-source contributions, and passion projects are welcome.

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