Senior Data Engineer - Cloud-Native AI Pipelines

Fadata; Madrid; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Competitive remuneration

Multinational team culture

Half-day off on the second Friday of每月

Job summary

Fadata is seeking a seasoned Data Engineer to design, build, and scale a data platform that enables AI and Data strategy. You’ll craft robust data pipelines, ensure data quality, and partner with Data Architects to align with cloud-native and SaaS transformations.

You will integrate data across domains, apply ETL/ELT patterns, and work with APIs, microservices, and distributed processing tools. The role emphasizes governance, RAG capabilities, and scalable data solutions across the enterprise.

Qualifications

• 5+ years of experience in data engineering or backend engineering with data focus.
• Python is the primary stack; strong programming skills.
• SQL and PL/SQL: hands-on in Oracle data models and logic.
• 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 fundamentals and embeddings retrieval concepts.
• Engineering discipline: version control, testing, CI/CD, and clean docs.
• Mindset: problem-solving and analytical skills; working with legacy systems.

Responsibilities

• Curate and govern data assets; build a trusted data estate.
• Profile data by domain and version with SMEs.
• Design, build and scale data pipelines for AI use cases.
• Develop Retrieval-Augmented Generation pipelines and architectures.
• Implement ingestion, chunking, embedding, indexing, retrieval mechanisms.
• Work with vector databases and semantic search for trustworthy results.
• Ensure data used in AI is accurate and up-to-date.
• Collaborate with Data Architect and SMEs on boundaries and context.
• Move towards reportable data via ETL/ELT and analytics-ready datasets.

Skills

Python

SQL/PLSQL

Data pipelines

Cloud data services

ETL/ELT

Distributed systems

RAG/vector basics

CI/CD

Problem solving

Tools

Airflow

Spark

Kafka

Flink

Job description

Fadata is seeking a seasoned Data Engineer to design, build, and scale a data platform that enables AI and Data strategy. You’ll craft robust data pipelines, ensure data quality, and partner with Data Architects to align with cloud-native and SaaS transformations.

You will integrate data across domains, apply ETL/ELT patterns, and work with APIs, microservices, and distributed processing tools. The role emphasizes governance, RAG capabilities, and scalable data solutions across the enterprise.