For our business partner, a global leader in sustainable wood processing with operations in 80 markets and seven European production facilities, we are seeking a Senior Data Engineer. The company is driving digital transformation by building a modern, cloud-based data platform to power smarter decisions and scalable growth.

In this role, you’ll shape architecture, model trusted datasets, and deliver results alongside the Head of Data & BI.

Location: Bucharest, Victoriei | Type: Full-time | Model: Hybrid

If you want to shape a modern data platform and make a direct impact on strategic decisions, we’d love to hear from you!

Key Responsibilities

Architecture & Strategy

Define and implement platform architecture (Microsoft Fabric / Azure).

Set standards for ingestion, storage, modeling, and security.

Influence the BI roadmap with scalable solutions.

Data Modeling & Engineering

Design and optimize pipelines for structured/unstructured data.

Model data with star schemas and semantic layers.

Apply SQL and Python (pandas, PySpark, APIs) for transformations.

Implement CI/CD and automation for modern DataOps.

Governance & Quality

Build monitoring frameworks for reliability, lineage, and freshness.

Ensure data consistency across the organization.

Collaboration & Enablement

Partner with BI Developers to deliver semantic models and Power BI datasets

Drive migration from SSRS to Power BI.

Streamline integrations and reduce technical debt.

Must-Haves

5+ years in data engineering or related roles.

Cloud data platform expertise (Azure preferred; AWS/GCP acceptable).

Strong data modeling skills (star schemas, semantic layers).

Advanced SQL & Python for large-scale processing.

Hands-on with ETL/ELT tools (ADF, Fabric Pipelines, Synapse, Databricks).

Knowledge of governance, quality, and master data principles.

Experience with Git and CI/CD.

Excellent communication skills.

Nice-to-Haves

Power BI datasets and semantic models.

Large-scale cloud migration exposure.

ERP integration (SAP, MES).