Senior Data Engineer: Cloud-Native Data Platform & AI

Fadata Group; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Fadata Group in Madrid is seeking a Data Engineer to design, build, and scale our data platform as a core enabler of Fadata’s AI and Data strategy. You will develop robust data pipelines, ensuring high-quality and accessible data, and support advanced use cases, collaborating with Data Architects and SMEs.

This role bridges operational systems with modern cloud-native architectures and focuses on data quality, governance, ETL/ELT, and AI knowledge-base pipelines, including RAG implementations.

Qualifications

• 5+ years of experience in data engineering or backend engineering with data focus.
• Python proficiency and strong programming skills.
• SQL/PLSQL experience with data models and logic.
• Hands-on experience with data pipeline tools (Airflow, Spark, Kafka, Flink).
• Experience with cloud data services (AWS, Azure, or GCP).
• Familiarity with ETL/ELT processes and data integration patterns.
• Knowledge of distributed systems and event-driven architectures.
• RAG/vector knowledge or aptitude to learn quickly.
• Engineering discipline: version control, testing, CI/CD, documentation.

Responsibilities

• Curate, Catalog & Understand Our Data: document data assets, profile domain data, protect PII, contribute to governance.
• Integration & Architecture: integrate with microservices, evolve data platform roadmap, work with APIs and distributed processing.
• Build modern data assets & deliverables: understand data model, support reporting models and pipelines.
• AI Knowledge-Base Pipelines: design RAG pipelines, ingestion, embedding, indexing, retrieval, vector stores.
• Toward Reportable Data & Analytics: move from operational to aggregated datasets, contribute to data lake/warehouse foundations.
• Collaboration: work with Engineering, Architecture, Product, and Business teams.

Skills

Python

SQL

Data pipelines

ETL/ELT

Distributed systems

Tools

Airflow

Spark

Kafka

Flink

AWS

Azure

GCP

Oracle

Liquibase

Job description

Fadata Group in Madrid is seeking a Data Engineer to design, build, and scale our data platform as a core enabler of Fadata’s AI and Data strategy. You will develop robust data pipelines, ensuring high-quality and accessible data, and support advanced use cases, collaborating with Data Architects and SMEs.

This role bridges operational systems with modern cloud-native architectures and focuses on data quality, governance, ETL/ELT, and AI knowledge-base pipelines, including RAG implementations.