2 days ago
Madrid, SpainMid Level / Senior

Responsibilities

  • Develop artificial intelligence solutions and data platforms using Databricks, Python/PySpark, and cloud architectures.
  • Design and implement AI agents and LLM-based solutions, including RAG, API and enterprise-system integrations, context management, and agent orchestration.
  • Deploy AI solutions in production environments and contribute to the modernization of data and artificial intelligence platforms.
  • Translate business and functional requirements into technical proposals.
  • Build dashboards showing insights for business units and industrial technical teams.
  • Collaborate with clients and multidisciplinary teams on advanced analytics, Big Data, and AI projects.

Requirements

  • Degree in Telecommunications Engineering, Computer Science, Mathematics, or Statistics.
  • At least B2 level English proficiency.
  • At least 3 years of experience working with artificial intelligence; the stated experience range is 3–5 years.
  • Knowledge of Big Data, cloud, BI, data quality, data governance, and related market technologies and tools.
  • Advanced knowledge of programming languages and tools, including Python and R.
  • Experience with AI solution development, data platforms, data and AI platform modernization, and translating business requirements into technical proposals.
  • Preferred certifications in Azure, Databricks, GCP, or AWS Data & AI.
  • Preferred experience with Azure AI Foundry, Azure OpenAI, LangChain/LangGraph, MLflow, data architectures, vector databases, CI/CD, and production AI deployments.
  • Preferred experience building dashboards for business or industrial technical teams and connecting to industrial plants using OPC-UA or MQTT.

Benefits

  • Hybrid work and flexibility according to the project.
  • Wellbeing HUB with physical and mental health programs, including Wellhub.
  • Life and accident insurance.
  • EY Flex flexible compensation for transportation, training, restaurant expenses, and childcare.
  • Special conditions through the Bankinter office.
  • Continuous training through EY University and an individualized learning pathway.
  • Career plan supporting annual professional growth.
  • Personalized support from a Buddy and Counselor.
  • Dynamic, collaborative, diverse, and globally connected work environment.
  • Social-impact activities through the EY Foundation.

Tech Stack

Categories

Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

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