20 publicaciones de empleo destacadas de engineer en santiago bernabéu madrid provincia (¡Están contratando!)

Mid Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
Development Engineer
Georg Fischer —Getafe, Madrid provincia
- Jornada completa
- Inglés
- Oficina
- Máster
Opto-Mechanical Engineer
Knowledge Development for Plastic Optical Fiber —Madrid, Madrid provincia
- Jornada completa
- AutoCAD
- Español
- Inglés
RAMS Engineer
Quest Global —Torrejón de Ardoz, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Seguro médico privado
- Teletrabajo opcional
Solicitud rápida
Ingenieros/as de procesos
domestiko.com —Madrid, Madrid provincia
- 2.670 € al mes
- Jornada completa
- Informática
- Inglés
- Máster
Manufacturing Engineering
Nextpower —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Ensamblaje
INGENIERO/A DE PROCESOS (H/M/D)
IDEA Ingeniería —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- AutoCAD
- Inglés
- Oficina
- Flexibilidad horaria
- Ayuda al desarrollo profesional
Fatigue & DT Engineer (m/w/d)
SOGECLAIR —Getafe, Madrid provincia
- Jornada completa
- Español
- Microsoft Excel
- Inglés
Solicitud rápida
Machine Learning Engineer 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- DevOps
Associate Software Engineer
Urban Science Applications, Inc. —Madrid, Madrid provincia
- De 32.000 € a 40.000 € al año
- Jornada completa
- Azure
- Informática
- DevOps
- Seguro dental
- Plan de pensiones
Junior Static Stress Engineer (m/w/d)
SOGECLAIR —Getafe, Madrid provincia
- Jornada completa
- Español
- Microsoft Excel
- Inglés
Solicitud rápida
System Engineer Automatic Train Protection Systems (High-Speed Trains)
Siemens —Tres Cantos, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Máster
- Ingeniería eléctrica
Head of Engineering (Europe, 100% remote)
LimeFlight —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Grado
Graduate Programme 2027: Software Engineer (Python)
Revolut —Madrid, Madrid provincia
- 18.400 € al mes
- Jornada completa
- Informática
- Inglés
- Oficina
Pavement Engineer
AECOM —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- AutoCAD
- Microsoft Excel
- Microsoft Office
- Seguro dental
- Vacaciones pagadas
Internship Programme 2027: Software Engineer (Python)
Revolut —Madrid, Madrid provincia
- 9.500 € al mes
- Jornada completa
- Informática
- Inglés
- Oficina
Product Owner
TECHRULES SA —Pozuelo de Alarcón, Madrid provincia
- De 30.000 € a 35.000 € al año
- Jornada completa
- Español
- Inglés
- Oficina
Solicitud rápida
Wind Engineer
Greenvolt —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- AutoCAD
- Español
- Inglés
Solicitud rápida
Graduate Programme 2027: Software Engineer (Java)
Revolut —Madrid, Madrid provincia
- 18.400 € al mes
- Jornada completa
- Informática
- Inglés
- Oficina
Financial Accountant (Process & Automation)
Zoomo —Madrid, Madrid provincia
- De 25.000 € a 40.000 € al año
- Jornada completa
- Trabajo híbrido
- Microsoft Excel
- Inglés
- Grado
Solicitud rápida

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Mid Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC

ailylabs
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

Google Tag Manager
Git
SQL
AWS
Machine learning
PostgreSQL
REST
GitHub
APIs
S3
Apache
Python

Descripción completa del empleo

Mission

Are you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding "yes," we have an extraordinary opportunity for you!

About Us

Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models, and agentic AI to give business leaders clear, actionable insights in real time.

Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.

Founded in 2020 in Munich, Aily Labs has grown into a global team of 350+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

We are looking for Data Practitioners (Mix of Data Engineer and Analytics skills) who are passionate about building reliable, scalable data solutions that power enterprise-grade AI: people who make data accessible, trustworthy and ready for ML, ensuring our decision intelligence platform can serve millions of insights every day.

About this team – Data Chapter

What does our Data Chapter team do?
We are the backbone of Aily’s "Data-to-Decision" engine. We build and own the complete data lifecycle—from ingestion and transformation to quality and delivery. Our team develops the robust models, APIs and scalable infrastructure that ensure high-quality data is always available for the Aily App and our AI models.
Which data domains and products do we support?

We operate at the intersection of business and technology, supporting critical domains including Finance, R&D (Research and Development), GTM (Go-to-Market), M&S (Manufacturing & Supply), Spend…. Our pipelines power the Aily App across multiple tenants, delivering the insights that drive global enterprises in several industries.

What are our key technical challenges?
- Scale: Managing multi-tenant by design with config-driven pipelines and models that adapt to diverse client needs.
- Reliability: Ensuring 24/7 uptime through automated QA, validations, and proactive monitoring.
- Quality: Implementing sophisticated business logic checks to maintain a "Single Source of Truth."
- Governance: Orchestrating complex event-driven and scheduled flows while maintaining strict data security and compliance.
How do we collaborate?
Data is our product. We work as strategic partners:
- With Product: To define and refine features that solve real-world problems.
- With Software Engineering: Establishing clear Data Contracts to ensure seamless integration with the Aily App.
- With ML & Data Scientists: Engineering the high-performance datasets required to transform raw data into measurable AI impact.
Our Tech Stack
We leverage a modern, code-first data stack to maintain agility and high standards:
- Languages & Frameworks: Python is our core for pipelines, APIs, and CLI tooling. We use FastAPI and Pydantic to serve typed, high-performance REST APIs to our platform.
- Data Transformation & Modeling: We use dbt for our SQL-based transformation layer and SQLModel with Alembic for ORM-based schema management and versioned migrations.
- Storage & Analytics: Besides PostgreSQL / RDS, we utilize DuckDB and DuckLake as our embedded analytics engine, all hosted on a robust AWS infrastructure (S3, IAM).
- Orchestration & Workflow: Apache Airflow handles our complex event-driven and scheduled job flows.
- Quality & Engineering Excellence: We prioritize reliability through pytest for QA validations, GitHub for version control, and a rigorous PR-based code review process.

Your profile

Core responsibilities

Design and implement end-to-end data pipelines (ingestion transformation quality delivery) for multiple use cases with growing autonomy.
Build and maintain data components (event-driven ingestion, transformations, APIs, catalogs) using modern data tools.
Write SQL-first transformations (dbt layers + normalization framework) and Python where orchestration/API logic needs it.
Implement robust data quality as early as possible in the pipeline (shift-left approach) for validation, monitoring, and alerting systems at scale.
Optimize data models for performance, cost and reliability across multiple datasets.
Collaborate with Junior/Intern team members on Data craft best practices and tooling.

Who we’re looking for

Data Engineers / Data Analysts with 2 to 4 years of experience who excel at building reliable, scalable data models and pipelines that power AI decision-making at enterprise scale.
Hands-on builders with:
- Strong SQL (complex joins, aggregations, incremental patterns)
- Python for services/pipelines (not notebook-only analytics)
- Comfort with git, PR reviews, pytest
- Interest in business domain (not just infra)
Strong collaborators who partner with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders to turn raw data into actionable customer insights.
Startup mindset: thrives in ambiguity, proactively solves complex data challenges, and improves tooling beyond your immediate scope.
Ready to Lead Boldly – building the data foundation that enables Aily's AI platform to deliver millions of real-time insights, briefings and agentic responses daily.

Location & details

Locations: Madrid (MAD), Barcelona (BCN) and Munich (MUC).
Contract type: Permanent.
Work policy: hybrid (2 days per week in the office).

About us

LEARN MORE

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