Data and AI Specialist – Agentic Tax Processes, Platforms

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing agentic workflows and data architectures, with a strong focus on AI-driven methodologies and data governance. Proficient in building AI-ready data marts and integrating advanced analytics within production environments.

Highest-signal resume keywords

Data ArchitectureAI/ML ApplicationData GovernanceProgramming in PythonAzure ML

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Hard Skills

Data ModellingData EngineeringData IntegrationMachine LearningAI ToolingC++ ProgrammingJava ProgrammingPython ProgrammingPyTorchScikit-learn

Tools & Technologies

Azure MLDatabricksMLflowLangChainLangGraphCodexFactory AIGitHub CopilotMicrosoft Agent 365

Certifications & Qualifications

Advanced AI CertificationMachine Learning CertificationCloud Computing CertificationData Engineering Certification

Industry Keywords

Agentic WorkflowsTask-Level Agent ResponsibilitiesHuman-in-the-LoopFeedback LoopsPerformance MonitoringGovernance ModelsRisk Monitoring

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