Job Title: Senior ETL / RDF Engineer

Location: Remote
Type: B2B Contract
Experience Required: 6+ years
English Level: C1 (Advanced)
Compensation: Gross (to be specified)
Holidays: 10 public holidays per year (vacation and sick days unpaid)

About the Role:
We are looking for a highly skilled Senior ETL / RDF Engineer to design and implement automated data transformation workflows. The ideal candidate will convert raw documents into structured RDF, build pipelines to transform NLP output into semantic triples, and ensure data is correctly serialized, exported, and validated.

Key Responsibilities:

• Develop ETL workflows using Python, Apache Airflow, and Pandas.

• Convert NLP outputs and other data sources into semantic RDF triples.

• Serialize RDF data in Turtle and JSON-LD formats.

• Extract and process data from multi-format sources (PDF, PPTX, SharePoint, etc.).

• Design and implement semantic data integration and transformation logic.

• Ensure RDF data quality, validation, and compliance with standards.

• Collaborate with cross-functional teams to integrate structured semantic data into applications.

Required Skills & Experience:

• 6+ years of experience in ETL development and data engineering.

• Strong proficiency in Python, Apache Airflow, and Pandas.

• Experience with RDF serialization (Turtle, JSON-LD) and semantic web technologies.

• Hands-on experience extracting and transforming data from diverse sources.

• Solid understanding of semantic data modeling, ontology, and knowledge graph principles.

• Strong problem-solving skills and attention to detail.

• Excellent English communication skills (C1 level).

Nice-to-Have:

• Experience with NLP pipelines and processing unstructured data.

• Knowledge of SPARQL queries and RDF validation tools.

• Familiarity with cloud-based data workflows.

What We Offer:

• Remote work with flexible hours.

• Exposure to cutting-edge semantic data technologies and NLP integration.

• Competitive compensation (gross, to be specified).

• 10 public holidays per year (vacation and sick days unpaid).