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Data Engineer

Madrid💼 Full-time🗓 2026-08-23 → 2026-09-23

Core

Designing data pipelines and models that unify fiscal, financial, and payroll data to power AI agents and analytics for small and medium-sized enterprises.

Role type

Data Engineer (AI/ML infrastructure)

Builds

Unified data models, data pipelines, and AI automation agents

Domain

Fintech / Tax & Payroll / AI

Deliverable

production ML models

Required skills

Data engineering (ETL, APIs, database design), SQL (BigQuery, Postgres), Pipeline orchestration (Airflow, Dagster), Google Cloud Platform (BigQuery, GCS, Datastream), Data migration, Data security & privacy

Preferred skills

Experience with unstructured data, Experience integrating complex systems (CRMs, ERPs)

Technologies

Python, BigQuery, Postgres, Airflow, Dagster, GCS, Datastream

Responsibilities

Design and evolve data models for fiscal, financial, and payroll intelligence; Build pipelines to clean, transform, and enrich structured and unstructured data; Integrate complex data from multiple sources into a coherent model; Create data-driven automations to trigger insights and actions; Deploy AI agents that use data to execute operational tasks at scale; Collaborate with AI, Product, and Operations teams to identify data automation opportunities

Seniority

Mid-Senior, hands-on IC

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