Data Engineer

• Semantic Engineer: Develop standardized SPARQL queries, visualizations and search pages to answer key business questions
• Frontend Web Developer: Create user-friendly search pages, visualizations and dashboards integrated into the Knowledge Graph platform (HTML, SPARQL)
• Frontend Web Developer: Embed predefined queries and visualizations into the front-end for seamless user experience

What We Offer

• Rapid growth through a personalised career path and salary assessment; 70% of our senior leaders started in entry-level positions
• Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops
• Take control of your training with a personal annual budget and company-paid certifications
• Enjoy flexible policies and remote work options (this role is based in Barcelona and is not full remote) and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance
• Benefit from our WeCare programme, which supports employees in critical situations
• Unlock your full potential, both professionally and personally

Take your career to the next level with Amaris Consulting as a Data Engineer. Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will have a proven track record in building scalable, high-quality data solutions and guiding business users through complex semantic models. English fluency is required as part of this role., * Solid knowledge of Semantic Technologies: RDFS, SPARQL, OWL

• Proven experience in Data Integration with AWS Lambda, AWS Glue, S3, …
• Strong proficiency in Programming: Python, SPARQL, SQL, HTML, …
• Advanced proficiency in Spanish and English (written and spoken)
• Strong problem-solving skills and ability to work both independently and as part of a team
• Ability to translate complex data models into intuitive user experiences and guide business stakeholders
• User Research: Collaborate with business stakeholders to understand and translate requirements into technical solutions
• Data Engineer: Build pipelines to ingest data from diverse sources (CSV, Parquet, APIs, …) into AWS S3 using AWS Glue, AWS Lambda and related AWS services
• Ontology Engineering: Model supply chain concepts using RDFS/OWL, ensuring alignment with business needs
• Semantic Mapping: Transform heterogeneous datasets into RDF using an RML-based approach