Senior Data Engineer

4 days ago

Bucharest, Bucureşti, Romania Evolve today Full time 120,000 - 200,000 per year

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)

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