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EY

Data and AI Specialist – Agentic Tax Processes, Platforms

EY

Data & AI Specialist designing tax workflows leveraging AI-ready data products and robust data engineering. Collaborating with data architecture and engineering to ensure timely and trusted data supply.

Posted 7/3/2026full-timeMadrid • 🇪🇸 SpainMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudERPJavaPySparkPythonPyTorchScikit-Learn

About the role

Key responsibilities & impact
  • Design agentic workflows for tax processes, including: task‑level agent responsibilities, agent‑to‑agent communication patterns, human‑in‑the‑Loop and escalation models, feedback loops and agent performance monitoring and evaluations
  • Define reusable agent blueprints aligned to Lean‑derived task definitions
  • Apply leading edge agentic driven design and build methodologies eg. use of Codex, Factory ai, GitHub Copilot
  • Build of AI‑ready data marts that expose tax data at the right grain maintain lineage and quality controls support deterministic and probabilistic reasoning
  • Build data ingestion and transformation from ERP systems, tax platforms, semi‑structured documents, external data sources
  • Build embedded agent and workflow governance and security: Ensure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365)
  • Design and embed real time controls and risk monitoring

Requirements

What you’ll need
  • 6+ years’ experience across data architecture, data engineering, and analytics
  • Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous
  • Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph
  • Strong grounding in: data modelling, data governance and quality, large‑scale data integration
  • Hands‑on experience applying AI/ML or advanced analytics in production environments
  • Proficient in programming or scripting languages: for instance, C++, Java, Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers)

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
Data ModellingData EngineeringData IntegrationMachine LearningAI ToolingC++ ProgrammingJava ProgrammingPython ProgrammingPyTorchScikit-learn
Certifications
Advanced AI CertificationMachine Learning CertificationCloud Computing CertificationData Engineering Certification