Short company description

At Evolve today we offer complex Human Resources services, from business consulting to headhunting and recruitment. We have extensive experience in finding talented professionals, for a variety of industries, especially in the IT sector.
We started with a dream: to create a Human Resources company with a strong, unique profile on the market, deeply shaped by our core values: commitment to performance, professionalism, a balanced approach and deep satisfaction for our clients.
From that moment, we nurtured special relationships and we continuously evolved, being flexible, but staying true to our values. We aim higher and higher and we invite you to EVOLVE with us!

Requirements

For our business partner, a global leader in sustainable wood processing with operations across 80 markets and seven production facilities in Europe, we are seeking a Senior Data Engineer. The company is committed to developing high-tech products from renewable wood sources and drives innovation through close collaboration with scientists and industry experts.
As part of its digital transformation, the organization is developing a modern, cloud-based data platform to facilitate smarter decisions and support scalable growth. In this role, you will play a pivotal part in shaping data architecture, modeling trusted datasets, and delivering results alongside the Head of Data & BI.
Bucharest, Victoriei | Full-time | Hybrid
Ready to design a cutting-edge data platform, model datasets that power BI, and influence strategic decisions? We’d love to hear from you
Must-Haves
7+ years of experience in data engineering or related roles.
Proven experience with cloud data platforms (Azure preferred; AWS/GCP acceptable).
Strong data modeling skills (star schemas, semantic layers).
Expertise in SQL and Python for large-scale data processing.
Hands-on with ETL/ELT tools (Azure Data Factory, Fabric Data Pipelines, Synapse, Databricks).
Knowledge of data governance, quality, and master data principles.
Experience with Git and CI/CD practices for data pipelines.
Excellent communication skills to bridge technical and business needs.
Nice-to-Haves
Experience with Power BI datasets and semantic models.
Exposure to large-scale cloud migration projects.
Familiarity with ERP integration (SAP, MES)

Responsibilities

Key Responsibilities
Architecture & Strategy
Collaborate directly with the Head of Data & BI to define and implement platform architecture (Microsoft Fabric / Azure).
Contribute to standards for ingestion, storage, modeling, and security.
Influence the BI roadmap with scalable, future-ready solutions.
Data Modeling & Engineering
Design and optimize pipelines for structured and unstructured data.
Model data using star schemas and semantic layers to deliver reusable datasets.
Apply SQL and Python (pandas, PySpark, APIs) for advanced transformations and integrations.
Implement CI/CD and automation for reliable, modern DataOps.
Governance & Quality
Establish monitoring frameworks for data reliability, lineage, and freshness.
Ensure data quality and consistency across the organization.
Collaboration & Enablement
Partner with BI Developers to deliver semantic models and Power BI datasets.
Drive the migration from SSRS to Power BI with standardized, governed datasets.
Identify opportunities to streamline integrations and reduce technical debt.

Benefits

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  Medical subscription
  
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  Trainings
  
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  Courses
  
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  Flexible work schedule
  
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  Teambuildings / trips
  
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  Parties / company events
  
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  Laptop
  
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  Mobile phone
  
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  Fun / Relax Area
  
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  Meal vouchers