Senior Data Engineer (BI & KPIs)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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
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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β