# Senior Data & Knowledge Engineer at Encora

Senior Data & Knowledge Engineer at Encora in Colombia. Remote. Posted October 12, 2026.

- Company: Encora
- Location: Colombia
- Workplace: Remote
- Experience: 5+ years
- Posted: 2026-10-12
- Apply: https://job-boards.greenhouse.io/encora10/jobs/5263294007
- Source: https://jobmagic.ai/jobs/senior-data-knowledge-engineer-encora-c417tb

## Requirements

- 5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles.
- Strong hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, and SQL.
- Experience building production-grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.
- Strong knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval.
- Experience designing and maintaining knowledge graphs using Neo4j or other graph database technologies.
- Strong understanding of metadata, lineage, data quality, governance, and knowledge management practices.
- Experience working with structured and unstructured enterprise data and document extraction patterns.
- Knowledge of secure retrieval patterns, filtering, citations, access controls, and data freshness.
- Experience measuring and optimizing retrieval relevance and knowledge quality.
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.

## Description

 

**Job Title:** Senior Data & Knowledge Engineer

**Key Skills:** Azure Document Intelligence, Azure AI Search, Databricks, SQL, Vector Search, Embeddings, RAG, Knowledge Graphs, Neo4j, Data Engineering

**Experience:** 5+ YOE.

**Location:** Costa Rica, Peru, Colombia, Bolivia.

**Mode:** Remote

We at Coforge are hiring Senior Data & Knowledge Engineer (#006fu00000bWsOCAA0-3) with the following skill set.

**Key Responsibilities**

- Design RAG and enterprise search architectures and build ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.

- Build and maintain Azure AI Search, vector search, and access-controlled retrieval indexes, ensuring metadata, citations, lineage, data freshness, and security-trimmed access.

- Implement Azure Document Intelligence pipelines to extract structured information from PDFs, forms, engineering documents, reports, and scanned content.

- Design and maintain knowledge graph models for entities, relationships, metadata, lineage, and domain context while continuously optimizing retrieval relevance and knowledge quality.

**Required Skills & Qualifications**

- 5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles.

- Strong hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, and SQL.

- Experience building production-grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.

- Strong knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval.

- Experience designing and maintaining knowledge graphs using Neo4j or other graph database technologies.

- Strong understanding of metadata, lineage, data quality, governance, and knowledge management practices.

- Experience working with structured and unstructured enterprise data and document extraction patterns.

- Knowledge of secure retrieval patterns, filtering, citations, access controls, and data freshness.

- Experience measuring and optimizing retrieval relevance and knowledge quality.

- Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.

**Preferred Skills:**

- Advanced hands-on experience with Azure AI Search, Databricks, RAG, and vector-search solutions.

- Experience with document processing, chunking, embeddings, ranking, metadata, and citation design.

- Hands-on knowledge graph experience with Neo4j, RDF, graph databases, semantic modeling, ontology design, or entity-relationship mapping.

- Azure Data Engineer or Databricks certification.

**Posted On:** 12-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.