Descripción de la vacante
CONVOTIS Iberia
Málaga, España
This job was automatically translated to English.
Your working day offers flexibility, so you can adjust your schedule within a certain margin to best suit your needs. If you work extra hours one day or need to leave early for personal reasons, you can make up the time another day without any issues. Additionally, you can decide whether you want to work from the office or from home.
At the office, you will find coffee, candies, and a foosball table to relax and share great moments with your colleagues. We also offer health insurance and flexible compensation.
Throughout the year, you can participate in internal events, outdoor activities, fun days, and paddle tennis matches. We want you to enjoy your time and take the time off you need, always surrounded by a close-knit and collaborative team.
Regarding your professional development, we support your growth: you will have access to training, English classes, and certifications. We value your learning and your aspirations.
All of this is part of our #CONVOTISLife philosophy. We grow together.
2-4 years of experience in data roles, with hands-on exposure to graph databases or ontology engineering.
Working knowledge of at least one graph database platform: Neo4j, Amazon Neptune, Azure Cosmos DB, StarDog or similar.
Practical experience with SPARQL and/or Gremlin / Cypher.
Understanding of ontology fundamentals: RDF, RDFS, OWL - able to read and write ontology definitions.
Solid foundation in data engineering: ETL/ELT pipelines, data modelling, cloud storage (AWS S3 / Azure ADLS).
Familiarity with at least one cloud platform (AWS or Azure) at a working level.
Analytical mindset: able to map business concepts to formal graph structures.
Good written and verbal communication in English; additional languages valued.
Academic background in Computer Science, Information Science, Linguistics, or related fields with exposure to knowledge representation or semantic web.
Exposure to GenAI or LLM integration concepts: understanding of how graph structures support retrieval-augmented generation or semantic search.
Familiarity with data governance or metadata management platforms.
Certification or coursework in graph technologies (Neo4j, cloud platforms) valued.
Experience in any industry vertical with complex domain models: financial services, energy, healthcare, retail.
At CONVOTIS Iberia we are looking for a hands-on practitioner in graph data modelling and semantic technologies, working embedded in delivery teams under the guidance of a Senior Data Architect. Contributes to the design, implementation, and testing of knowledge graph solutions and ontology-based data integrations across industries and cloud platforms. A profile that combines technical execution capability with growing client-facing skills.
Implement graph data models under architectural guidance: property graphs, RDF/OWL ontologies, entity-relationship schemas.
Develop and optimize graph queries in SPARQL, Gremlin, and/or Cypher for data retrieval, traversal, and analytics use cases.
Build and maintain data ingestion pipelines feeding graph databases from structured and semi-structured enterprise sources.
Apply ontology validation rules using SHACL and support ontology versioning and maintenance processes.
Integrate graph layers with data catalogues, metadata platforms, and downstream analytics or AI consumers.
Participate in testing and validation of graph models against business requirements: entity coverage, relationship accuracy, inference correctness.
Support pre-sales activities: contribute to technical sections of proposals, prepare PoC environments, document reference architectures.
Proactively develop expertise across graph platforms and semantic standards; share knowledge within the practice.
CONVOTIS Iberia is the Spanish arm of CONVOTIS, a Germany-headquartered SAP consulting firm that helps enterprises modernize their business processes through SAP solutions, cloud transformation, and custom software development. The company operates across Europe with a strong focus on delivering end-to-end digital transformation projects, combining deep SAP expertise with emerging technologies like AI and machine learning.
In Spain, CONVOTIS Iberia is building a specialized team of engineers and data scientists to support advanced projects involving AI/ML, mobile SDK development, and process automation with Camunda. The Spanish office offers international professionals the opportunity to work on cutting-edge technology within a collaborative, cross-border environment, while enjoying the lifestyle and culture of Spain. As part of a European group, employees benefit from exposure to diverse projects and clients across the continent.
Teralco Group was founded in 2002 and became CONVOTIS Iberia in 2024. Since then, we have been committed to helping companies improve their performance and efficiency through the use of innovative technology. With our more than 20 years of experience, we have helped numerous companies implement technology solutions.
At CONVOTIS, You add value with your experience and skills, You matter in our decision-making, and You choose your path for professional development.
Equal Employment Opportunity
At CONVOTIS Iberia, we are firmly committed to equal employment opportunity, ensuring an inclusive and respectful environment for all people, regardless of their race, nationality, ethnicity, skin color, religion, sex, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
Furthermore, in compliance with the provisions of Royal Decree 1026/2024 and our commitment to the highest standards of diversity and inclusion, we establish clear and concrete criteria to ensure a selection and hiring process that prioritizes the qualifications and suitability of each person for the position. We pay special attention to non-discrimination based on sexual orientation, gender identity, or gender expression.
At CONVOTIS Iberia, we believe that diversity enriches our teams and drives us toward a more just, equitable, and inclusive future.
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