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Azure Data Engineer

Hybrid in Madrid·Full-time·Added 24 days ago (last checked 8 Oct)

Capgemini

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Overview

Work mode: Hybrid, Madrid
Contract: Full-time
English: Required

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

To perform well in this position, the following knowledge is required:

Solid experience with Azure Data Factory (ADF).
Experience with Azure Synapse Analytics.
Experience with Azure SQL Database.
Knowledge and experience working with Azure Data Lake Storage (ADLS).
Experience developing and maintaining processes in PySpark.
Experience as a Data Engineer participating in the entire data lifecycle: ingestion, transformation, storage, deployment, and monitoring.
Fundamental knowledge of Azure DevOps and CI/CD processes.
Knowledge of Medallion architectures (Bronze, Silver, and Gold).
Knowledge of security and access management:
RBAC (Role-Based Access Control).
ABAC (Attribute-Based Access Control).
DP-900 certification.
Fluent level of oral and written English.
Ability to work in a team, results-oriented mindset, and strong communication skills.

Nice to have

Experience with Delta Lake.
GitHub Foundations certification.
Experience working with Lakehouse architectures.
Knowledge of Databricks and Big Data ecosystems.
Experience in automation and deployments using Azure DevOps.

We value all applications and offer on-site, online, and certified training. Even if you do not meet 100% of the requirements, we want to meet you!

Pay & benefits

What you'll get

•Varied and challenging projects: You will work on cross-industry challenges, avoiding routine and gaining exposure to diverse technologies.

•Flexibility and hybrid model: A culture focused on work-life balance.

•Continuous learning:

Training in cloud technologies, data governance, visualization...
Real involvement in projects with generative AI, Business AI, and emerging data technologies.

•Client diversity and constant innovation: High-impact projects with leading organizations.

•Collaborative and inclusive environments: Dynamic, multicultural teams focused on growth.

•Professional growth and technical challenge: Autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI area.

The role

What you'll do

As an Azure Data Engineer, you will be responsible for designing, developing, and optimizing data architectures and pipelines in cloud environments, ensuring an efficient, secure, and scalable flow of information between the different systems and teams.

At the same time...

You will be able to participate in end-to-end projects, from their definition to their deployment in production.
You will collaborate on the design of modern data architectures based on Azure.
You will work in Cloud environments within the Microsoft Azure ecosystem.
You will develop and maintain data pipelines using Azure Data Factory and Azure Synapse Analytics.
You will participate in the creation and maintenance of notebooks in PySpark for data transformation and processing processes.
You will apply best practices for continuous integration and continuous deployment (CI/CD).
You will collaborate on the implementation of Lakehouse architectures and Medallion models.
You will ensure data security and governance through access control models and permission management.

Hiring process

1 interview

Submitting your application takes 3 to 5 minutes (name, contact details, CV and optional cover letter).
When you accept the offer you receive a pre-boarding plan and an invitation to the monthly RISE welcome event.

About Capgemini

Capgemini is a global leader in consulting, technology services and digital transformation, offering an array of integrated services that combine technology with deep sector expertise. The group describes itself as a global leader in business and technology transformation, powered by AI, and serves industries including aerospace and defense, banking and capital markets, consumer products, energy and utilities, healthcare, insurance, manufacturing, public sector, retail and telecoms.

Its portfolio of brands includes Capgemini Invent, its powerhouse of innovation, design and transformation, Capgemini Engineering, which helps the world's largest innovators engineer the products and services of tomorrow, as well as frog and Sogeti. Its services span cloud, cybersecurity, data and artificial intelligence, digital sovereignty, enterprise management, intelligent industry and sustainable business.

Industry: IT Consulting
Employees: 350,000
Website: capgemini.com

In their own words

About the company & team

Choosing Capgemini means choosing a company where you will have the freedom to design your career as you wish, with the support and inspiration of a collaborative community of colleagues around the world. Here you can reinvent what is possible. Join us and help the world's leading organizations discover the value of technology and build a more sustainable and inclusive world.

We have a Data & AI team that will be delighted to have you on board. Would you like to join us?

Capgemini is a global partner in business and technological transformation, helping organizations accelerate their dual transition to a digital and sustainable world, generating a tangible impact on both companies and society. We are a responsible and diverse group, with 340,000 professionals in more than 50 countries. With over 55 years of experience, our clients trust Capgemini to leverage the value of technology and cover all their business needs. We offer comprehensive solutions that range from strategy and design to engineering, driven by our leading capabilities in artificial intelligence, generative AI, cloud, and data, along with deep industry knowledge and a strong network of partners.

MAKE IT REAL. Join the team! www.capgemini.com/es-es

Additional information

Our Equality Plan and Code of Ethics guarantee inclusive and non-discriminatory processes, promoting talent in a multicultural and accessible environment for people with disabilities (we positively value having a disability certificate).

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