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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Knowledge Graphs & AI - **Company:** Accenture - **Location:** Málaga, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Data Architecture, Extract Transform Load (ETL), Relational Databases, Graph Database, Python (Programming Language), Search Algorithms, Machine Learning, Neo4j, Tensorflow, SPARQL, Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Information Technology, Apache Nifi, Data Pipelines - **Published:** September 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=eeb65f9805224519 ## About the Role * MSc or BSc in Computer Science, Mathematics, Physics, Engineering, or a related field. BASIC (REQUIRED) QUALIFICATION * Bachelor's degree or equivalent, plus at least 4 of the following: * Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) * Experience in schema design, ontology management, and Knowledge Graphs curation. * Experience designing and developing Knowledge Graphs solutions and graph-based ML models (functional + technical) * Experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration * Strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases * Proven experience in leading a team or workstream within a larger program * Fluency in Spanish and a high level of English (B2 - C1) PREFERRED QUALIFICATION * Hands-on experience with cloud platforms (AWS, Azure, GCP) * Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) * Practical experience with NLP and/or Search techniques * Prompt engineering, and LLMs for enterprise-scale applications. * You have team lead experience. * Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones. * You have external client-facing consulting experience * Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. * Broad experience in diverse ML techniques and agentic systems. ## Description You lead a significant knowledge engineering scope and function within a large program; actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting-edge algorithms. You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end-to-end delivery for their scope., * Leads the build of Knowledge Graph solutions that transform a client's data architecture within program scope. * Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. * Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings. * Develops strong client relationships and earns the trust of key advisors. * Makes the business case for the semantic layer solution recommended to the client. * Contributes meaningfully to Accenture sales and pre-sales efforts. * Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Knowledge graph based chatbot](https://www.wearedevelopers.com/videos/754-knowledge-graph-based-chatbot) - [New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs](https://www.wearedevelopers.com/videos/1417-new-ai-centric-sdlc-rethinking-software-development-with-knowledge-graphs) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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