Data Engineer with AI skills

Capgemini Engineering; Bogotá ciudad; Presencial; COP 124.560.000 - 249.120.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Bogotá, Colombia, seeks a Senior Data Engineer to design and build scalable data solutions powering analytics, AI applications, agents, and RAG ecosystems. You will curate enterprise data, ensure governance, lineage, metadata management, quality and security, and develop data pipelines for production‑ready AI use cases.

Main tech includes Python, SQL, Azure Data Factory, Databricks, Synapse Analytics, Fabric, Data Lakehouse architectures, and AI frameworks such as

Formación

• Strong experience with Python and SQL.
• Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Fabric.
• Knowledge of Data Lakehouse architectures and ETL/ELT frameworks.
• Experience with Generative AI, LLMs, RAG architectures, vector databases, and AI agents.
• Familiarity with Azure OpenAI, LangChain, Semantic Kernel, or similar AI frameworks.
• Understanding of data governance, lineage, metadata management, and data security.
• Experience with Git, CI/CD, and DataOps practices.

Responsabilidades

• Develop and maintain scalable data pipelines and data products.
• Curate and prepare enterprise data for AI, GenAI, agent-based applications, and RAG solutions.
• Ensure data quality, lineage, metadata management, governance, and security standards.
• Build agentic solutions to automate data discovery, transformation, and enrichment processes.
• Collaborate with Data Science, AI, and business teams to enable production-ready AI use cases.

Conocimientos

Python

SQL

Azure Data Factory

Databricks

Synapse Analytics

Fabric

Data Lakehouse

ETL/ELT

Generative AI

LLMs

RAG architecture

Vector databases

AI agents

LangChain

Semantic Kernel

Git

CI/CD

DataOps

Azure OpenAI

Herramientas

Azure OpenAI

Descripción del empleo

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.

Job Description

Design and build scalable data solutions that power analytics, AI applications, agents, and RAG ecosystems while ensuring data governance, quality, and security.

Key Responsibilities

• Develop and maintain scalable data pipelines and data products.
• Curate and prepare enterprise data for AI, GenAI, agent-based applications, and RAG solutions.
• Ensure data quality, lineage, metadata management, governance, and security standards.
• Build agentic solutions to automate data discovery, transformation, and enrichment processes.
• Collaborate with Data Science, AI, and business teams to enable production-ready AI use cases.

Technical Requirements

• Strong experience with Python and SQL.
• Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Fabric.
• Knowledge of Data Lakehouse architectures and ETL/ELT frameworks.
• Experience with Generative AI, LLMs, RAG architectures, vector databases, and AI agents.
• Familiarity with Azure OpenAI, LangChain, Semantic Kernel, or similar AI frameworks.
• Understanding of data governance, lineage, metadata management, and data security.
• Experience with Git, CI/CD, and DataOps practices.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.