18 publicaciones de empleo destacadas de backend engineer (python) en madrid, md (¡Están contratando!)

Senior data engineer
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- SQL
- Plan de pensiones
Solicitud rápida
Founding Senior Data Engineering
naiian —Madrid, Madrid provincia
- De 70.000 € a 90.000 € al año
- Jornada completa
- Trabajo híbrido
- Español
- Oficina
- Bases de datos
- Seguro médico privado
Solicitud rápida
7h
Manager, Software Localization Engineering
SAS —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- Máster
- Grado
Engineering Manager
Embat —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- JavaScript
Solicitud rápida
Full-stack Developer (AI Solutions)
PSI CRO —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- Investigación
Solicitud rápida
Senior AI Engineer - GenAI
IQVIA —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Hospital
Senior AI Engineer
Control Risks —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Investigación
- Máster
Solicitud rápida
10d
Senior Full Stack & AI Engineer
SGS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
14d
Senior API Engineer
Ebury —Madrid, Madrid provincia
- De guardia
- Informática
- Inglés
- Oficina
Solicitud rápida
17h
Data Consultant - German Speaker
Keyrus Portugal —Alcobendas, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
Solicitud rápida
Senior Full-Stack Developer
InteractiveAI —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- JavaScript
Solicitud rápida
Senior Fullstack Engineer, Madrid
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- SQL
- JavaScript
Senior AI Full-Stack Engineer - German Speaker
Keyrus Portugal —Alcobendas, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
Solicitud rápida
AI Engineer (GenAI & LLMOps), Madrid
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- Servicio en mesas
- DevOps
- Máster
- Teletrabajo opcional
Technical Product Manager QVAC - 100% remote
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- C++
Technical Product Manager QVAC (100% remote Worldwide)
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- C++
Staff Engineer - Java
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Java
- AWS
Solicitud rápida
3d
Java Technical Referent
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Java
- AWS
Solicitud rápida
11d

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Founding Senior Data Engineering
naiian —Madrid, Madrid provincia
Data Quality / Developer Workflow: Tests, lineage, observabilidad funcional, y uso de herramientas como AGENTS.md , Skills/SKILLS o OpenSpec/Spec Kit.
De 70.000 € a 90.000 € al año
Solicitud rápida
7h

Quiero recibir la alerta de empleo más reciente de backend engineer (python) en madrid, md

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Senior data engineer

Frontiers Media -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Beneficios

Plan de pensiones

Cualificaciones

Jira
Optimización del rendimiento
Elasticsearch
Azure
DevOps
.NET Core
C#
Google Tag Manager
Microsoft SQL Server
Git
Google Cloud Platform
MongoDB
SQL
Docker
New Relic
REST
Scripting
APIs
Cloud
Apache
GraphQL
Python
PowerShell
Debugging
T-SQL

Descripción completa del empleo

Who we are

At Frontiers, our purpose is simple yet ambitious: to make science open. We believe open science empowers the global scientific community to accelerate discovery and develop the solutions needed for healthy lives on a healthy planet.

We are one of the world’s largest and most influential open-access research publishers. Every article we publish is peer-reviewed and quality-certified, ensuring research is accessible to everyone, everywhere. To date, Frontiers research has been viewed over 4 billion times, demonstrating the real-world impact of science without barriers.

Joining Frontiers means being part of a global, mission-driven organization at the intersection of science, technology, and innovation — working alongside passionate colleagues who care deeply about advancing knowledge for the benefit of society.

To learn more about our impact and culture, please watch this video:

https://www.youtube.com/watch?v=jLJ7ZO3wOW4

About the Role:

Own and evolve the company’s data infrastructure: event tracking, ingestion pipelines, and analytics tooling
Manage data collection pipelines via Snowplow, GTM (server-side and client-side), and Airflow-orchestrated workflows running on Cloud Composer
Build and maintain BigQuery datasets: partitioning, clustering, cost optimization, scheduled queries, and access controls
Write and maintain Python scripts for data ingestion, transformation, and reporting
Manage Cloud Storage (GCS) for data staging, Snowplow enriched event storage, and pipeline artifacts
Configure and maintain GCP IAM, service accounts, and access controls across services and external APIs
Monitor and debug pipelines using Cloud Logging & Monitoring; set up alerting and ensure pipeline observability
Work with relational and non-relational databases: schema design, query optimization, performance tuning
Collaborate with frontend, QA, DevOps, and product teams
Participate in code reviews and uphold code quality standards
Contribute to technical improvements (testing, observability, performance, maintainability)
Mentor mid-level engineers and contribute to architectural decisions

Requirements

Python — hands-on experience writing production scripts and data pipelines
SQL — strong practical experience: queries, indexes, performance tuning, and analytical workloads
Google Cloud Platform — working experience across GCP services including:
- BigQuery — partitioning, clustering, cost optimization, scheduled queries, access controls
- Cloud Composer — managed Airflow: DAG deployment, environment configuration, GCP Console monitoring
- Cloud Storage (GCS) — data staging, pipeline artifacts, enriched event storage
- IAM & service accounts — secure access management across GCP services and external APIs
- Cloud Logging & Monitoring — pipeline observability, alerting, and debugging
Apache Airflow / Cloud Composer — building and maintaining DAGs and data workflows
Google Tag Manager — server-side and client-side configuration and management
Azure Databricks — data processing and analytics workloads
Understanding of clean code principles (maintainable, testable pipelines and scripts)
Comfortable with Git and code review workflows

Nice-to-have skills

C# and .NET Core — backend/API development experience is a plus
REST APIs — design, implementation, authentication/authorization basics
SQL Server / T-SQL — experience with Microsoft SQL Server environments
Snowplow — event tracking setup and data collection pipelines
MongoDB
Elasticsearch
RabbitMQ or similar queuing system
Docker / containers
GraphQL (building or consuming APIs)
Background job processing (e.g. Hangfire)
Observability tools (e.g. New Relic or similar)
PowerShell scripting
Agile tooling (e.g. Jira)
AI-assisted development tools (Cursor, etc.)

Benefits

We prioritise office presence and emphasise in-person collaboration, but also offer appropriate adjustments where needed, in line with company policy
Extra wellbeing days on top of your annual leave allowance
Up to 3 paid volunteering days each year
24/7 confidential Employee Assistance Programme (wellbeing, mental health, legal & financial support)
Learning & development support via the Frontiers Learning Hub
Competitive local benefits country dependent (e.g. healthcare and pension/retirement provision)

Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination – including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.

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