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2 дня назад

Senior Data Engineer (BI & KPIs)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Serbia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

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TL;DR

Senior Data Engineer (BI & KPIs): Building and maintaining robust data foundations and pipelines to enable KPI measurement and executive reporting across the Technology Division with an accent on integrating fragmented operational, engineering, and product data. Focus on designing scalable ETL/ELT processes, ensuring data quality and governance, and partnering with cross-functional teams to translate business requirements into analytics-ready models.

Location: Beograd, Serbia (Onsite)

Company

hirify.global is a global technology leader developing revolutionary products for power, rail, and scientific sectors with operations in over 20 countries.

What you will do

  • Design and maintain scalable data pipelines to ingest and transform data from diverse business and engineering systems.
  • Create analytics-ready data models that ensure consistent KPI definitions and reporting across the organization.
  • Build and evolve data platform capabilities using Databricks or modern equivalent technologies.
  • Implement data quality controls, lineage, and governance practices to ensure data reliability.
  • Integrate data from ALM/PLM platforms, CI/CD systems, and IoT telemetry feeds.
  • Collaborate with engineering and product stakeholders to translate business needs into technical data solutions.

Requirements

  • Strong experience in senior data engineering roles.
  • Expertise in SQL for querying and performance optimization.
  • Proficiency in Python for data engineering and automation.
  • Hands-on experience with Databricks or modern data platforms.
  • Proven ability to design and maintain ETL/ELT pipelines and analytics-ready data models.
  • Strong stakeholder engagement skills and ability to translate requirements into technical solutions.

Nice to have

  • Familiarity with mechatronics, electromechanical systems, or embedded software environments.
  • Exposure to PLM/ALM ecosystems and engineering toolchains.
  • Experience with IoT/telemetry data and Power BI.
  • Knowledge of Continuous Improvement methodologies.

Culture & Benefits

  • Focus on high-quality engineering and solving complex technical problems.
  • Collaborative environment that values listening and continuous improvement.
  • Opportunity to work on diverse projects spanning hardware, software, and scientific R&D.
  • Global company presence with a focus on creating real-world value.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’