20 publicaciones de empleo destacadas de databricks platform engineer en md (¡Están contratando!)

Data Platform DevOps Engineer
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- Jornada completa
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Carto —Madrid, Madrid provincia
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Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
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- Azure
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1d
Azure Data Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
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Software Engineer Python & Azure (Data Integration APIs)-Híbrido
eXperience IT Solutions —Madrid, Madrid provincia
- De 36.000 € a 45.000 € al año
- Jornada completa
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- Azure
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- Formación continua
- Ayuda al desarrollo profesional
Solicitud rápida
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
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- Azure
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- AWS
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- Seguro de vida
IIoT Engineer
GEA Group Aktiengesellschaft —Alcobendas, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
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Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
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- Azure
- Inglés
- AWS
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- Seguro de vida
Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- SQL
Solicitud rápida
Senior Site Reliability Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, SL UNIPERSONAL —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
- Parking gratuito
Senior Site Reliability Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, S.L. UNIPERSONAL. —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
- Parking gratuito
Data Engineer Expert
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- De 285 € a 304 € al día
- Azure
- DevOps
- Inglés
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Data Engineer (Google Cloud Platform)
SDG Group —Madrid, Madrid provincia
- Trabajo híbrido
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- Teletrabajo opcional
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Senior Data Engineer (Ecosistema Azure)
VISEO - Spain —Madrid, Madrid provincia
- Jornada completa
- Azure
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- Teletrabajo opcional
Solicitud rápida
Senior Manager | Data Engineer & Cloud Analytics
Deloitte —Madrid, Madrid provincia
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- Oracle
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DevOps Security Engineer
ING —Madrid, Madrid provincia
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Data Engineering Lead / Evangelist
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
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- Seguro de vida
Data Engineer
Turner & Townsend —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- DevOps
Solicitud rápida

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Data Platform DevOps Engineer

NN Group -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Beneficios

Parking gratuito
Seguro de vida
Plan de pensiones

Cualificaciones

CI/CD
Azure
DevOps
Inglés
APIs
Python

Descripción completa del empleo

NN Digital Hub is a subsidiary company of NN Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units.

Data Platform DevOps Engineer

As a Data Platform DevOps Engineer, you contribute to the evolution of NN’s Customer Data Platform by building, maintaining, and improving the customer data integrations that power digital channels, analytics, and AI use cases.

With your strong engineering mindset, DevOps expertise, and focus on reliability and automation, you ensure that customer data APIs are scalable, secure, and production ready. Which enables teams across NN to consume them with full confidence.

Your Impact as Data Platform DevOps Engineer: What are you going to do

In this role, your focus is on developing, maintaining, testing, and improving the customer data API integrations within the Customer Data Platform. Alongside this, you support the team with data engineering–related tasks and help set up and improve DevOps and release pipelines that enable efficient development and deployment.

You will:

Design, build, maintain, and improve Customer Data Integration APIs using Python and technologies such as Databricks, Azure Function Apps, and related Azure services
Set up and improve Azure DevOps CI/CD pipelines to automate build, test, release, and deployment processes
Work closely with the Data Engineering & Platform team to design and implement end-to-end data integration solutions
Collaborate with engineers across business units and other countries to enable stable, scalable, and well-documented customer data integrations
Translate business and technical requirements into robust, maintainable solutions
Implement monitoring, logging, and alerting to ensure observability, reliability, and production readiness of APIs
Ensure API quality, performance, security, access control, lifecycle management, and cost efficiency
Migrate legacy customer data APIs to the new architectural standards of the Customer Data Platform

The team you’ll join:

You will join the Customer Data Management Office within the Customer & Digital domain. In this role, you collaborate closely with a diverse set of teams that together shape and operate NN’s customer data landscape.

What do we offer?

As part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers. Among the benefits are:

We work with a hybrid model
Starting financial aid so you can equip your workspace at home
Allowance and telework subventions
Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
We hire a life insurance and a pension plan for all our employees
We establish objectives bonus as a performance reward
You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…
We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
We care about your wellbeing. We have a Wellness Program available.
We are digital and we love technology. Also, every team works under agile methodology.

Who You Are:

You are a hands-on Software Engineer with strong Python engineering experience, a solid engineering mindset, and a passion for building reliable, scalable, and production-ready data integrations. You enjoy working at the intersection of software engineering, data engineering, and DevOps, and take ownership of solutions from development through operations.

3+ years of experience as a software engineer/developer
Strong hands‑on experience with Python, including writing clean, testable, and maintainable code for APIs
Experience designing and building APIs and backend services using Python frameworks and libraries
A solid understanding of API design principles, versioning, authentication/authorization, and lifecycle management
Experience setting up and working with CI/CD pipelines and DevOps practices, with a focus on automation, reliability, and reproducibility
Familiarity with testing strategies (unit, integration), monitoring, logging, and operational support for production systems Service). You will also be an active member of the Engineering Guild, connecting with engineers across NN Group to share knowledge, align practices, and contribute to continuous improvement.

If you are a passionate and experienced Data Platform DevOps Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. We are waiting for you!

Please send your CVs in English language.

In Nationale-Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. One of our core values is taking care of our employees so they can give their best within a respectful environment.

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