Chief Data Architect

beBeeDataEngineer; Barcelona; Híbrido; EUR 90.000 - 110.000; Jornada completa

Descripción de la vacante

A leading data engineering company in Barcelona is seeking a skilled Data Engineer to build and manage ETL/ELT pipelines and contribute to scalable data platforms across various cloud environments. The role offers opportunities for professional growth in an employee-centric culture with flexible work arrangements.

Servicios

Professional growth opportunities

Flexible work arrangements

Inclusive work environment

Collaborative workspace

Formación

• Strong background in computer science and software engineering.
• Excellent problem-solving skills and analytical thinking.
• Ability to work independently and collaboratively in a dynamic environment.

Responsabilidades

• Build and manage large-scale data pipelines.
• Develop and maintain high-quality code in a collaborative environment.
• Collaborate with cross-functional teams to drive business outcomes.

Conocimientos

Data pipeline management

Cloud-native data engineering

CI/CD automation

Problem-solving skills

Analytical thinking

Educación

Background in computer science or software engineering

Herramientas

Databricks

dbt

PySpark

SQL

GitHub Actions

Azure Pipelines

Descripción del empleo

About our Data Engineering role

We are looking for a skilled professional to join our data and AI engineering team.

The Opportunity

• This position involves building and managing ETL / ELT pipelines using various tools such as Databricks, dbt, PySpark, and SQL.
• Our ideal candidate will contribute to scalable data platforms across cloud environments like Azure, AWS, GCP.
• Implementing and maintaining CI / CD workflows using GitHub Actions or Azure Pipelines is also essential.

Key Responsibilities

• Data Engineer Key Tasks :
• Build and manage large-scale data pipelines.
• Develop and maintain high-quality code in a collaborative environment.
• Collaborate with cross-functional teams to drive business outcomes.
• Desirable Skills :
• Hands-on experience with cloud-native data engineering.
• Comfort working with at least one major cloud platform (Azure, AWS, GCP).
• Expertise in CI / CD automation, especially with GitHub Actions or Azure Pipelines.

Requirements

• A strong background in computer science and software engineering.
• Excellent problem-solving skills and analytical thinking.
• Ability to work independently and collaboratively in a dynamic environment.

Benefits

• Professional Growth Opportunities :
• Possibilities of career development and the opportunity to shape the company's future.
• An employee-centric culture directly inspired by employee feedback.
• Flexible Work Arrangements :
• Hybrid work model and flexible working schedule that would suit night owls and early birds.

What We\'re Looking For

• We believe diverse perspectives and backgrounds lead to better ideas.

Culture and Benefits

• Employee-Centric Culture :
• An inclusive and supportive work environment.
• Ongoing opportunities for growth and development.
• Friendly Work Environment :
• Collaborative workspace with talented professionals.