Back End Developer

Talcom; Madrid; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A health tech startup in Madrid is seeking a Backend Engineer (Python) to design and build backend services for an AI-driven health diagnostics platform. You will work on data pipelines and collaborate closely with AI engineers and founders to create impactful solutions. The ideal candidate should have a university degree and at least 4 years of experience in software engineering. The company offers a hybrid work setup in a WeWork office.

Formación

• At least 4 years of software engineering experience building production systems.
• Experience with data ingestion, validation, transformation, and routing.
• Understanding of data privacy and European compliance regulations.

Responsabilidades

• Design, build, and maintain end-to-end pipelines for structured user-ready reports.
• Integrate AI model outputs into the pipeline for reliable processing.
• Build backend services (APIs) with monitoring and version control.

Conocimientos

Strong Python skills

Backend services (FastAPI preferred)

Data pipelines

Cloud deployment

Docker

Kubernetes

Educación

University degree in Computer Science or related field

Herramientas

PostgreSQL

Terraform

OpenTelemetry

Langfuse

Descripción del empleo

Backend Engineer (Python)

You will join Entera ( as the first Backend Engineer in a company built around artificial intelligence. This is an opportunity to create the backbone of a product where AI drives every part of the experience. You will design, build, and maintain the backend services and APIs that connect our AI models, laboratories, and medical users within a secure European cloud environment. The work combines backend development, data design, and lightweight cloud deployment in a small team with visible impact. You will collaborate closely with our AI engineers and founders, who value simplicity, clarity, and responsible technology.

About Entera

Entera is a health tech startup founded by Michelle Martens and Ellen Pekelharing. Both founders share a strong interest in health, nutrition, and medical innovation. They started Entera to make advanced diagnostics more accessible and understandable. Michelle brings experience as a data scientist and product manager, while Ellen has a background in health and nutrition.

Entera is developing an AI platform that transforms complex laboratory data into clear, personal health reports. The system connects laboratories, doctors, and eventually patients in one environment. Laboratory results are processed automatically, interpreted by AI, and converted into structured reports based on validated medical knowledge.

Entera recently signed its first partnership with a major laboratory in the Netherlands and is now building its first internal engineering team across Amsterdam and Madrid.

Responsibilities

Design, build, and maintain end-to-end pipelines that transform raw laboratory data into structured, user-ready reports.

Integrate AI model outputs into the pipeline, ensuring that results are reliably processed, validated, and incorporated into final reports.

Build backend services (APIs, FastAPI) to handle inference, retrieval, and reporting, with proper version control, testing, and monitoring.

Implement observability and monitoring for pipelines and services to catch errors and ensure smooth operation.

Design and maintain databases and schemas (PostgreSQL) with safe migrations and reliable data storage.

Collaborate closely with the founders and CTO to define priorities and roadmap for production system development.

Requirements

University degree in Computer Science or related field.

At least 4 years of software engineering experience building production systems.

Strong Python skills and experience building backend services (FastAPI preferred).

Experience with data pipelines, ingestion, validation, transformation, and routing.

Familiarity with cloud deployment, containerization, and orchestration (Docker, Kubernetes, Terraform).

Understanding of data privacy and European compliance regulations.

Proven ability to deliver complete, reliable end-to-end systems independently.

Nice to Have

Experience working with medical or life science data.

Familiarity with LLM integration or retrieval-augmented generation.

Experience with European AI models such as Mistral or Gemma.

Our Stack

Python, FastAPI, PostgreSQL, React, Docker, Kubernetes, Terraform, OpenTelemetry, Langfuse, EU based cloud

Work Setup

Hybrid - Amsterdam or Madrid in a WeWork office.