Data Engineer (Azure)

Capitole; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology firm in Spain is seeking a Data Engineer to join a strategic project. Ideal candidates should have over 3 years of experience in Python and advanced SQL knowledge. Expertise in Apache Spark and Azure is mandatory, while familiarity with Docker and Kubernetes is a plus. This is an opportunity to work in a friendly environment that values professional growth and development alongside industry-leading clients. Enjoy a great team culture and flexible working conditions.

Servicios

€1,200 annual training budget

Flexible working hours

Private health insurance

Flexible compensation

Gym membership (WellHub)

Team-building events every two months

Formación

• 3+ years of experience and proficiency in Python.
• Advanced SQL knowledge including joins and subqueries.
• Solid expertise with Apache Spark.
• Experience with Azure, including Data Factory and Databricks.

Responsabilidades

• Join a strategic project utilizing state-of-the-art technologies.
• Collaborate within an international environment.

Conocimientos

Python

SQL

Apache Spark

Azure

Docker

Kubernetes

Agile methodologies

Herramientas

Azure Data Factory

Airflow

Power BI

Grafana

Descripción del empleo

Capitole keeps expanding – and we want you to be part of the journey!

Are you motivated to join a company with a strong technological focus?

Looking for a friendly environment with real opportunities for professional growth?

If your answer is

yes , this could be the role for you.

Why join Capitole?

People come first : we believe in a human-centered model, where your well-being and development are at the core.

Challenging projects with cutting-edge technologies and agile methodologies.

Work with industry-leading clients across energy, finance, retail, and other sectors.

Positive environment and stability : we have a very low turnover because people enjoy working here.

What we offer :

€1,200 annual training budget (certifications, courses, events, books, etc.)

Flexible working hours to balance your personal and professional life

Monthly check-ins with your team for continuous feedback and growth

Private health insurance fully covered by Capitole

Flexible compensation (meal vouchers, transport, childcare)

WellHub (Gymforless) membership

Team-building events every two months (don’t miss our Summer Party or Christmas Dinner!)

Tech communities to share knowledge and ideas internally

And most importantly : a great team culture

The opportunity We are looking for a Data Engineer to join a strategic project, working with state-of-the-art technologies in an international environment.

Key Requirements Required : Programming Languages : 3+ years of experience and proficiency in Python (experience with Java or Scala is a plus).

SQL Skills : Advanced SQL knowledge, including joins, Group By, subqueries, and temporary tables .

Big Data & Analytics : Solid expertise with Apache Spark .

Cloud Platforms : Experience with Azure is mandatory, including Azure Data Factory and Databricks . Experience with AWS or Google Cloud is a plus.

Data Orchestration Tools : Familiarity with tools such as Azure Data Factory, Airflow, Control-M , or similar.

Desirable : Visualization Tools : Knowledge of tools like Power BI, Grafana , etc.

Containerization : Experience with Docker and Kubernetes .

Agile Methodologies : Understanding and experience working in Agile environments .

Certifications : Relevant certifications in cloud technologies or big data are a plus.

English : B2+ / C1

Get to know us better : Capitole Consulting See what our people say : Glassdoor Reviews At Capitole, we believe talent thrives in the right environment.

If this sounds like you, we’d love to meet you!

The employee will adhere to information security policies :

• Will have access to confidential information related to Capitole and the project they are working on.
• Must comply with the security policies and internal policies of the company and the client.
• Must sign an NDA.