{"id":1717121,"url":"https://alion.io/job/accenture-data-engineer-knowledge-graphs-ai-2","title":"Data Engineer - Knowledge Graphs & AI","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":1996,"ghost_share":0.002,"stale_share":0.076,"repost_share":0.006,"time_to_fill_p50_days":4,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Barcelona, Spain","Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":116000,"period":"year","method":"role_country_seniority_unknown","sample_n":14},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-02T19:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-04T22:19:42Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Accenture, recognized as a Great Place To Work®, is a leading global professional services company that helps major businesses, public administrations, and other organizations around the world develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale.\nWe are looking for experienced Knowledge Graph Engineers to join our Data & AI practice in Spain. \nThis role is available in Barcelona or Madrid, and follows a hybrid working model, combining remote work with in-office collaboration to foster innovation, knowledge sharing, and close teamwork.\nCandidates must reside in Spain and hold a valid permit to work in Spain.\nYOU ARE\nYou 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.\nTHE WORK\nLeads the build of Knowledge Graph solutions that transform a client's data architecture within program scope.\nDirects the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly.\nWorks with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data & AI offerings.\nDevelops strong client relationships and earns the trust of key advisors.\nMakes the business case for the semantic layer solution recommended to the client.\nContributes meaningfully to Accenture sales and pre-sales efforts.\nProvides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.\nEDUCATION\nMSc or BSc in Computer Science, Mathematics, Physics, Engineering, or a related field.\nBASIC (REQUIRED) QUALIFICATION\nBachelor's degree or equivalent, plus at least 4 of the following:\nExperience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).\nHands on experience in schema design, ontology management, and Knowledge Graph curation.\nExperience designing and developing Knowledge Graphs solutions and graph-based ML models (functional + technical).\nProven experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration.\nAmple experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases.\nExperience in leading a team or workstream within a larger program\nFluent in Spanish and high level of understanding and communicating in English (B2 - C1).\nPREFERRED QUALIFICATION\nHands-on experience with cloud platforms (AWS, Azure, GCP)\nExperience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow).\nPractical experience with NLP and/or Search techniques.\nPrompt engineering, and LLMs for enterprise-scale applications.\nYou have team lead experience.\nStrong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.\nYou have external client-facing consulting experience.\nPh.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.\nBroad experience in diverse ML techniques and agentic systems.\nAt Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.\nIn addition, we offer:\nPrivate medical, life, and accident insurance.\nMedical services and wellbeing programs.\nFlexible benefits program and employee share purchase plan.\nFlexible working arrangements (working hours, additional leave days, vacation options, and more).\nPersonalized learning and career development paths.\nSustainability initiatives and opportunities to participate in the Accenture Foundation.\nEmployee diversity and inclusion networks.\nAdditional benefits, including special banking conditions through our Bankinter office and profit-sharing programs.\n#LI-MP #LI-EU\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nDeclaración de igualdad de oportunidades en el empleo\nCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.","description_format":"text","description_chars":6827,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Spanish","level":"Advanced (C1)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-02T19:00:00Z"}],"visa":[],"liveness":{"score":66,"band":"ok","label":"Likely open","p_open":1,"p_active":0.736,"p_room":0.9,"age_days":1,"expected_fill_days":4,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/accenture-data-engineer-knowledge-graphs-ai-2","json_url":"https://alion.io/job/accenture-data-engineer-knowledge-graphs-ai-2.json","meta":{"generated_at":"2026-10-05T01:37:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2163,"day_limit":5000,"remaining_today":2837,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}