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

If you want to shape the architecture of a modern data platform, model datasets that empower business intelligence, and make a direct impact on strategic decisions, we’d love to hear from you! 

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.

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)