Specialist IT Big Data

Vodafone Group; Madrid; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology firm is seeking a Big Data Engineer to design, build, and manage applications on the Google Cloud Platform. This role involves integrating large data volumes into a data lake, collaborating with teams on analytics solutions, and improving data quality and security. The ideal candidate will have a master's degree in a STEM field with at least two years of experience in relevant technologies.

Servicios

Hybrid work model with flexible hours

25 days holiday plus options to buy more

Meal vouchers and flexible remuneration

Free health and life insurance

Mental health programs

Career development opportunities

Retirement plans and charity leave days

Formación

• Master's degree in STEM fields and at least 2 years of relevant experience.
• Proficient in Java, Scala, or Python programming languages.
• Experience with the Hadoop ecosystem and cloud services.

Responsabilidades

• Provide expert guidance on sourcing and integrating structured and unstructured data into a data lake.
• Collaborate with team to develop solutions for a next-generation Big Data analytics platform.
• Focus on data management, quality, and system delivery for large data volumes.

Conocimientos

Expertise in cloud PaaS, CaaS, IaaS

Experience with DWH and Big Data cloud services

Proficiency with Hadoop ecosystem

Strong programming skills in Java, Scala, Python

Experience with Unix-based systems

Familiarity with distributed technologies

SQL experience, preferably with BigQuery

Experience with CI/CD tools

Agile work experience

Fluency in English

Educación

Master’s degree in STEM fields

Herramientas

Data Fusion

Data Flow

BigQuery

Docker/Kubernetes

Airflow

Terraform

Ansible

Kafka

Descripción del empleo

About the role

We are seeking a Big Data Engineer experienced in designing, building, and managing applications to process large data volumes on Google Cloud Platform.

Responsibilities:

• Provide expert guidance on sourcing and integrating structured and unstructured data into a data lake.
• Collaborate with the team and stakeholders to develop solutions for a next-generation Big Data analytics platform.
• Focus on data streaming, management, quality, security, and system delivery for large data volumes, supporting data scientists in company strategies and marketing campaigns.

Qualifications:

• Expertise in cloud PaaS, CaaS, IaaS, especially Google Cloud Platform (GCP).
• Experience with DWH and Big Data cloud services like Data Fusion, Data Flow, BigQuery.
• Proficiency with Hadoop ecosystem (Spark, Hive/Impala, HBase, Yarn).
• Strong programming skills in Java, Scala, and/or Python; knowledge of functional languages is a plus.
• Experience with Unix-based systems and bash scripting.
• Familiarity with distributed technologies, Docker/Kubernetes, Infrastructure-as-code, and pipeline orchestration with Airflow.
• SQL experience, preferably with BigQuery, and knowledge of EDW solutions.
• Experience with CI/CD tools like Jenkins, Gitlab/Github, Nexus.
• Agile work experience, good communication skills, and fluency in English.
• Additional skills in Terraform, Ansible, scripting languages, Kafka, SDLC practices are a plus.
• Master’s degree in STEM fields and at least 2 years of relevant experience.

What’s in it for you?

• Hybrid work model (60% home, 40% office) with flexible hours and 20 extra remote days/year in Spain.
• 25 days holiday plus additional days and options to buy more.
• Meal vouchers, flexible remuneration, free health and life insurance, mental health programs.
• Career development with AI and online learning platforms.
• Retirement plans, charity leave days, and digital office management tools.

Learn more about us: https://www.vodafone.es/c/conocenos/es/vodafone-espana/trabaja-con-nosotros/

Join us in delivering innovative technology solutions that connect and empower people worldwide. We value diversity and are committed to an inclusive workplace, offering equal opportunities regardless of background or identity.