Beschreibung

Software Engineer & Data Specialist — Backend, Pipelines & Internal Tooling

I build data systems that actually work at scale — and I own them end to end.

Over 7 years at an AI-driven retail platform, I designed and maintained pipelines processing 2M+ products daily, built data quality monitoring tools used by both engineering and business teams. I defined standards, led technical training, and evolved systems as the product grew.

My core stack is Python, SQL, PostgreSQL, Django, and Docker.

I'm comfortable with the full lifecycle: ingestion, transformation, monitoring, alerting, and the internal tooling that keeps everything visible and actionable.

Beyond professional work, I'm currently building CuerpoSonoro — an interactive system that translates human movement into real-time sound using computer vision and audio synthesis. It's how I stay sharp on applied AI and real-time systems outside of client work.

I'm a good fit if you need:

- A data pipeline built or cleaned up

- Backend infrastructure with real ownership, not just ticket execution

- Someone who communicates clearly with both technical and non-technical stakeholders

Remote · EU timezone · Available for mid-term projects and ongoing collaboration.

Branchenexpertise

Sprachen

Spanisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher

Arbeitsortpräferenzen

Nur remote

Führt Projekte hauptsächlich remote aus

Centric Software (formerly StyleSage)
Software Engineer / Data Analyst
E-COMMERCE
Juli 2018 - Oktober 2025 (7 Jahre und 3 Monate)
Madrid, Spanien
Over 7+ years at Centric Software (formerly StyleSage), I worked as a Software Engineer and Data Analyst on an AI-driven data platform for global retail and e-commerce.

I designed, built, and owned multiple data pipelines processing 2M+ products daily across international marketplaces, taking full end-to-end responsibility from architecture decisions to day-to-day maintenance.

I developed internal tooling for data quality monitoring, alerting, and KPI computation used by both engineering and business teams, and built decision-support systems that helped Customer Success teams prioritized data feeds based on quality signals and business impact.

I joined as part of a greenfield engineering team, which meant defining workflows, standards, and internal tooling from scratch, something I genuinely thrive in.

Over time, I evolved backend systems as requirements expanded from data ingestion into AI-assisted decision-making and advanced analytics.
Beyond the technical work, I led internal training sessions on deployments, CI/CD, and code quality, and consistently acted as a bridge between engineering and business stakeholders, translating complex technical constraints into clear, actionable solutions. I'm comfortable owning ambiguity, communicating across functions, and driving things forward without waiting to be told what to do.

Stack: Python, SQL, PostgreSQL, Exasol, Django, Docker, Git, CI/CD.
AI Automation Python QA testing Data Operations Tooling
Kualum Studio
Web Software Developer
Juni 2017 - Mai 2018 (11 Monate)
Madrid, Spain
Customer Success teams to prioritize data feeds based on quality signals and business impact.
• - Evolved backend systems as requirements expanded from data ingestion to AI-assisted decision-making and analytics.
• - Took ownership of systems in a greenfield engineering team, defining workflows, standards, and internal tooling from scratch.
• - Led internal technical training on deployments, server environments, CI/CD, and code quality, contributing to team scalability and reliability.
• - Collaborated closely with product and business stakeholders to translate evolving needs into robust, scalable engineering solutions.
Full-Stack web development Wordpress and Genesis Framework - Software development