17 publicaciones de empleo destacadas de data platform devops engineer en parla, md (¡Están contratando!)

Specialist Data Warehouse Developer
Vodafone —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Oracle
- Informática
- Seguro de vida
- Plan de pensiones
Senior Full Stack Engineer
mediasmart —Madrid, Madrid provincia
- Turno de 12 horas
- Español
- Azure
- DevOps
Solicitud rápida
14h
Senior Technical Consultant
Salesforce —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Español
- Azure
13d
Head of Infrastructure & Security
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- AWS
Solicitud rápida
12d
Expert Manager, Software Engineering (Full Stack)
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida
Solution Architect - Identity & Access Management
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
11d
SR SOFTWARE DEVELOPER
Lumen Technologies —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
13d
Snowflake Developer
Cognizant —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Azure
- DevOps
Java Backed Developer (Kubernetes)
SIX Group AG —Madrid, Madrid provincia
- De guardia
- Teletrabajo
- DevOps
- Java
- SQL
Azure Data Architect
Kenos Technology —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Expert Manager, Coro RevTech Systems Delivery
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Ventas
- Salesforce
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
QA P4
Solera —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Java
I_SGTO_Software engineering Coe Data
ISB Santander Global Technology and Operations, S.L. —Boadilla del Monte, Madrid provincia
- Jornada completa
- DevOps
- Grado
- Agile
Project Manager
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Azure
- PMP
Java Backend Architect
Atradius —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Oficina
- Java
- Plan de pensiones
22h
Java Backend Developer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Español
- DevOps
- Inglés
Senior Java Developer - Coaching & Delivery
U.S. Bank National Association —La Moraleja, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Inglés

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Specialist Data Warehouse Developer

Vodafone -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Beneficios

Seguro de vida
Plan de pensiones

Cualificaciones

CI/CD
Azure
Oracle
Informática
Big data
DevOps
Inglés
Google Cloud Platform
Máster
SQL
AWS
Grado
Scrum
Talend
GitHub
ETL
Escalabilidad
Agile
Cloud
Teradata
Requisitos comerciales
Jenkins
GitLab
Data warehouse

Descripción completa del empleo

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

What you’ll do

We are seeking a skilled and passionate Data Modeler / Data Engineer / ETL Developer to join our data engineering team to designs, builds, and maintains data warehouse solutions on the Google Cloud Platform. As a key contributor, you will design and implement scalable data models, develop robust data pipelines, and ensure seamless data integration and data quality across platforms. Your work will directly support business insights, product innovation, and strategic decisions by enabling high-quality, well-structured, and easily accessible data.

Main Responsabilities:

Analyze business requirements and translate them into effective data models and technical designs.
Design and maintain conceptual, logical, and physical data models DWHs.
Build and manage scalable, reliable, and secure data pipelines (ETL/ELT) in hybrid and cloud environments.
Ensure data consistency, integrity, and quality across data platforms.
Collaborate closely with data architects, analysts, and software developers to deliver end-to-end solutions.
Continuously optimize data flows for performance and cost-efficiency.

Key performace Indicators:

Accuracy and scalability of data models.
Pipeline stability and performance metrics (e.g., run time, error rate).
Reduction in data latency and processing costs.
Positive feedback from cross-functional collaborators.
Contributions to documentation and knowledge-sharing within the team.

Who you are

Core competencies, knowledge and experience:

Technical Requirements

To perform in this role at a top-tier level, the candidate should have strong expertise in:
Data Modeling and Architecture
Solid experience in data modeling techniques (3NF, star/snowflake schemas, data vault) and data architecture best practices.
Proficiency in SQL
Experience in metadata management, data lineage, and governance practices.

Data Engineering

Proficient in developing ETL/ELT pipelines using modern frameworks (e.g., SQL Procedures, dbt, Dataflow).

Cloud and DevOps

Experience with cloud data platforms, preferably Google Cloud Platform (GCP); knowledge of BigQuery, Teradata, Oracle.
Familiarity with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI.

Tools & Technologies

Hands-on with data preparation and profiling tools (e.g., Talend, Trifacta, Collibra).
Experience working in Agile/Scrum

Other Competencies:

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
3+ years of experience in datawarehouse implementation or related field.
Professional certification in cloud platforms (e.g., GCP Data Engineer, AWS Big Data, Azure Data Engineer) is a plus.
Fluent English speaking and writing
Experience in Agile Scrum Methodology

What We Offer

Benefits:

Hybrid work model
Bonus on top of the gross salary.
Meal voucher (Ticket Restaurant),
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays.
Intensive Summer Schedule during July and August.
Up to 20 days per year of 100% remote work from other locations.
Private Health and Life Insurance for employees.
25 vacation days, plus December 24th and 31st off.
Optional Pension Plan.
Access to an online learning platform for continuous training.

Please, apply with an English version of your CV.

#LI-Hybrid

REF: 279990

#VOIS

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.

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