Salary: 15.000 - 19.000 RON net per month
Requirements:- • 7+ years of experience in data engineering or related roles.
- • Strong expertise in SQL and Python for large-scale data processing.
- • Proven experience with cloud data platforms (Azure preferred, AWS/GCP acceptable).
- • Solid understanding of data modelling (star schemas, semantic layers).
- • Experience with ETL/ELT tools (Azure Data Factory, Fabric Data Pipelines, Synapse, or Databricks).
- • Knowledge of data governance, data quality, and master data principles.
- • Experience with Git and CI/CD practices for data pipelines.
- • Strong communication skills, able to work with both technical and business leaders.
- • Preferred Skills:
- – Experience with Power BI datasets and semantic models.
- – Exposure to large-scale cloud migration projects.
- – Familiarity with ERP integration.
- • Key Attributes:
- – Collaborative: works closely with Head of BI, IT and business teams.
- – Business-aware: translates technical designs into real business outcomes.
- – Future-ready: adopts modern tools, frameworks and best practices.
- • Platform & Architecture:
- – Collaborate with the Head of BI to define and implement data platform architecture (Microsoft Fabric / Azure), integrating ERP (SAP), MES, and other systems.
- – Contribute to establishing data architecture standards covering ingestion, storage, modeling, and security.
- • Data Engineering:
- – Develop and optimize scalable pipelines for structured and unstructured data.
- – Use SQL and Python (pandas, PySpark, APIs) for data cleansing, transformation, and integration.
- – Implement CI/CD and automation for reliable data operations (DataOps).
- • Data Governance & Quality:
- – Establish monitoring frameworks for data reliability, lineage, and freshness.
- • Collaboration:
- – Partner with BI Developers to deliver reusable semantic models and datasets for Power BI.
- – Engage with business teams to ensure pipelines and models reflect real business needs.
- • Strategic Enablement:
- – Support the migration from SSRS to Power BI by enabling standardized, governed datasets.
- – Provide input into the BI roadmap to ensure platform scalability and efficiency.
- – Identify opportunities to streamline integrations and reduce technical debt.
- AWS
- Azure
- Business Intelligence
- CI/CD
- Cloud
- Databricks
- ETL
- ERP
- GCP
- Git
- Support
- Power BI
- Python
- PySpark
- SAP
- SQL
- Security
- pandas
More:
Job Description – Senior Data Engineer
HS Timber Group, a leading company in wood processing with 2,700 active employees across 80 markets, is dedicated to developing high-tech products from sustainable wood sources. Headquartered in Vienna, the company operates seven production facilities worldwide and collaborates with scientists to innovate in wood processing technologies.
Company: HS Timber Productions Bucuresti SRL
Department: Business Intelligence / Data & Analytics
Reports to: Head of BI
Role Overview:
We are seeking a Senior Data Engineer to design, build, and optimize data pipelines and integrations as we transition from fragmented legacy reporting to a scalable, cloud-based data platform. As a senior member of the BI team, this role will collaborate closely with the Head of BI on data architecture and strategy, ensuring that technical solutions align with business goals. The Senior Data Engineer will also set best practices and enable the creation of trusted, reusable datasets for analytics.
What We Offer:
• Competitive salary package and benefits
• Private health insurance, life insurance
• Opportunities for professional growth and personal development
• A dynamic and supportive work environment
last updated 20 week of 2026