Data Engineer, AI Skills

🔥 16 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Design and build scalable data solutions powering analytics, AI applications, agents, and RAG ecosystems • 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

🎯 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