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5 дней назад

Data Engineer - Flutter Functions, Hybrid (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Romania
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 Engineer - Flutter Functions, Hybrid (Databricks) (Databricks, SQL, Procurement Data): Building and operating procurement data pipelines, certified datasets, and analytics layers on Databricks with an accent on pipeline orchestration, data quality, governance, and platform operations. Focus on maintaining reliable data products, implementing monitoring and schema changes, and enabling dashboards and KPIs from a single source of truth.

Location: Hybrid in Cluj-Napoca, Romania. The benefits include up to 20 days per year working abroad.

Company

hirify.global is Flutter Entertainment’s technology hub, supporting sports betting and iGaming brands and more than 18 million customers worldwide.

What you will do

  • Build and operate procurement data ingestion, transformation, orchestration, and lifecycle pipelines on Databricks.
  • Build certified datasets, semantic layers, KPI calculations, and executive or operational dashboards.
  • Support monitoring, alerting, incident response, performance tuning, capacity management, and platform cost optimization.
  • Apply data contracts, schema changes, versioning, backward compatibility, testing, and release controls under manager guidance.
  • Maintain master and reference data, catalog, lineage, business glossary, documentation, and data quality workflows.
  • Apply governance, privacy, access control, retention, backup, recovery, resilience, and AI trust guidelines.

Requirements

  • 2–4 years of experience in data engineering or data management, including hands-on contribution to production data pipelines.
  • Bachelor’s degree in a relevant field or equivalent practical experience.
  • Proficiency in SQL and hands-on experience with at least one analytics platform such as Databricks, Snowflake, or BigQuery.
  • Working knowledge of dimensional modelling, ELT or ETL patterns, and pipeline orchestration.
  • Foundation in platform operations, monitoring, incident response, and performance tuning; Databricks exposure is strongly preferred and rapid capability development is essential.
  • Hands-on experience with data quality controls, catalog and lineage practices, and RBAC within an established framework.
  • Exposure to orchestration and transformation tools such as Airflow, Azure Data Factory, and dbt, plus BI tools such as Power BI or Tableau.
  • Structured problem-solving, documentation discipline, continuous improvement, collaboration across departments, and a strong focus on quality, efficiency, and performance.

Nice to have

  • Python experience.
  • Familiarity with procurement, finance, P2P, sourcing, or finance reconciliation data structures.
  • Curiosity about AI and emerging technologies, with willingness to learn, adapt, and share knowledge.

Culture & Benefits

  • Values include collaboration, excellence, ownership, support, and positive impact.
  • €1,000 annual self-development budget and access to thousands of Udemy courses.
  • 25 days of annual leave, 5 personal days per year, and 20 days per year to work abroad.
  • Company share scheme, flexible benefits for travel, sports, and hobbies, plus extended health, dental, and travel insurance.
  • Well-being programmes, career growth sessions, and office events.

Hiring process

  • Only candidates who best meet the job requirements will be contacted for an interview.
  • Application details are processed for employment administration; unsuccessful applications may be retained for up to three years for prospective roles.

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