Data Engineer

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.

✍️ WHAT WOULD YOU NEED? ✍️

• 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

WHAT WILL YOU BE DOING?

WHY US?

Join our dynamic team of talented people and discover a world full of growth and opportunity. Here's 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, remote work options ( note : 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

Amaris Consulting prides itself on being an equal opportunity employer. We are committed to promoting diversity within the workforce and creating an inclusive work environment. To this end, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, creed, age, marital status, disability or other characteristics.