We Are: Accenture is a general professional services and solutions company that helps leading organizations reinvent with digital, cloud, data, and AI capabilities, drawing on its large global workforce, industry expertise, and ecosystem partnerships to create 360° value.

By combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business outcomes at speed and scale.

You Are: We are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.

Key Responsibilities:- Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.

- Develop data mapping and transformation workflows using R2RML or similar technologies.
- Write and optimize SPARQL queries for graph loading, validation, and retrieval.
- Build and maintain data ingestion pipelines and integrate data from enterprise systems.
- Design and optimize relational database schemas and queries to support efficient graph hydration and ETL workflows.
- Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.
- Design and maintain scalable graph query APIs consumed by internal application and product teams.
- Performance-tune graph database queries, indexing strategies, and data access patterns.
- Own containerization, deployment, and monitoring of graph services in cloud environments.
- Ensure data quality, ontology alignment, and secure handling of sensitive data (PII/PHI).
- Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations. This role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%

DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE! Did you know that Accenture is leading the digital transformation in the World? Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.



Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.

Offer- Career development according to your profile and interests.

- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects Here's What You Need:- Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of RDF, SPARQL, and semantic technologies.
- Minimum 3 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.
- Minimum 3 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.
- Minimum 3 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.
- Minimum 3 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.
- Minimum 3 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience Bonus Points if You Have:- Familiarity with containerization tools (Docker, Kubernetes).
- Knowledge of data ingestion pipelines, ETL/integration, and enterprise system integration.
- Understanding of PII/PHI handling, data anonymization, and data governance.
- Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users.
- Develop and maintain REST and GraphQL APIs bridging graph backends and frontend clients.
- Experience with graph visualization libraries (D3.js, Cytoscape.js).
- Familiarity with a BFF (Backend for Frontend) or API gateway pattern.
- Experience with AI agent-driven pipelines or RAG architectures.
- Understanding of Federated Knowledge Graph architectures.
- Experience working across Development, Test, UAT, and Production environments.
- Cloud platform experience (AWS Neptune, Azure Cosmos DB,



or GCP).
- Experience with event-driven architectures and message queuing (Kafka, RabbitMQ).
- Familiarity with infrastructure-as-code tools (Terraform, Helm).
- Experience with database replication, partitioning, and high-availability patterns for relational systems.
- Familiarity with vector embedding pipelines and strategies for chunking, re-ranking, and retrieval optimization. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 09/30/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Hourly Salary Range

California $30.67 to $94.23

Cleveland $28.41 to $75.38

Colorado $30.67 to $81.39

District of Columbia $32.69 to $86.68

Illinois $28.41 to $81.39

Maine $26.15 to $69.38

Maryland $30.67 to $81.39

Massachusetts $30.67 to $86.68

Minnesota $30.67 to $81.39

New York $28.41 to $94.23

New Jersey $32.69 to $94.23

Virginia $28.41 to $86.68

Washington $32.69 to $86.68

Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process.

Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement We believe that no one should be discriminated against because of th

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📌 Knowledge Engineer - Back End (Ciudad de México)
🏢 Accenture México
📍 Ciudad de México