Senior Data Engineer

Capitole; Barcelona; Híbrido; EUR 85.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training budget

Private health insurance

Wellhub wellbeing program

Team buildings

Descripción de la vacante

Capitole is seeking a Senior Data Engineer to join an international Data Engineering team in Viladecans, Barcelona. You will design, develop, and evolve scalable data solutions, collaborating closely with Data Engineers, business stakeholders, and other technical teams.

You’ll work hands-on with AWS, Airflow, DBT, Snowflake, ClickHouse, and S3, build robust ETL/ELT pipelines, and contribute to data quality, governance, and security.

Formación

• 5+ years of experience in Data Engineering.
• Strong hands-on technical background with AWS and data platforms.
• Experience with ETL/ELT pipelines, data modelling, and performance tuning.

Responsabilidades

• Design, develop, and maintain scalable and high-performance data pipelines.
• Develop and optimise data solutions using AWS, Airflow, DBT, Snowflake, ClickHouse, and S3.
• Build ETL/ELT pipelines ensuring data reliability and performance.
• Work on data modelling, transformation, and performance tuning.
• Collaborate with stakeholders to translate business needs into data solutions.
• Contribute to data quality, governance, and security practices.
• Follow and contribute to GitHub, CI/CD, testing, and code quality practices.
• Participate in Agile ceremonies using JIRA.
• Improve Data Engineering practices, architecture, and processes.

Conocimientos

AWS

S3

Lambda

Redshift

Airflow

DBT

Docker

Snowflake

ClickHouse

SQL

Python

GitHub

CI/CD

JIRA

Agile

Data Modeling

Data Quality

Data Governance

Security

Herramientas

Docker

Descripción del empleo

We are looking for a Senior Data Engineer to join a growing international Data Engineering team in Viladecans, Barcelona.

In this role, you will work on the design, development, and evolution of scalable data solutions, collaborating closely with Data Engineers, business stakeholders, and other technical teams.

You will combine strong hands-on technical expertise with a high level of autonomy, contributing to data engineering best practices, data quality, and the continuous improvement of the organisation's data environment.

If you enjoy working with cloud technologies, modern data platforms, and high-impact data solutions, this could be your next challenge.

What you'll do

• Design, develop, and maintain scalable and high-performance data pipelines.
• Develop and optimise data solutions using technologies such as AWS, Airflow, DBT, Snowflake, ClickHouse, and S3.
• Build and maintain robust ETL/ELT pipelines, ensuring data reliability, scalability, and performance.
• Work on data modelling, transformation, and performance tuning across different data environments.
• Collaborate with stakeholders and technical teams to understand business needs and translate them into effective data solutions.
• Contribute to data quality, governance, and security practices.
• Follow and contribute to best practices around GitHub, version control, CI/CD, testing, and code quality.
• Participate in Agile ceremonies, sprint planning, and backlog discussions using JIRA.
• Contribute to the continuous improvement of the team's Data Engineering practices, architecture, and processes.
• Stay hands-on with the technology while sharing knowledge and supporting other team members when needed.

• 5+ years of experience in Data Engineering, with a strong hands-on technical background.
• Strong expertise in AWS, including S3, Lambda, and Redshift or equivalent technologies.
• Hands-on experience with Airflow, DBT, and Docker, together with Snowflake, ClickHouse, or similar technologies.
• Strong experience developing ETL/ELT pipelines, data modelling, and performance tuning.
• Strong SQL and Python skills for Data Engineering tasks.
• Experience working with Agile methodologies and JIRA.
• Good knowledge of GitHub workflows, branching strategies, CI/CD, and software engineering best practices.
• Strong problem-solving and analytical skills, with the ability to work independently on complex data engineering challenges.
• Good communication and stakeholder management skills, with the ability to understand business requirements and translate them into technical solutions.
• Experience contributing to data quality, governance, and security frameworks.
• Experience working in large-scale, international, or fast-growing Data Engineering environments.
• Experience with modern cloud-based data platforms and engineering practices.
• Experience working with data products, self-service analytics, or data discoverability.

Hybrid model - 2 days on site per week

Why join this project?

• People first – diverse and inclusive culture in an international environment.
• Work on high-impact Data & Insights initiatives across business performance, operations, finance, and commercial domains.
• Help shape how data supports strategic decision-making across a large international organisation.
• Explore the evolution of AI-driven analytics, productivity tools, and data discoverability.
• Contribute to self-service analytics, data products, and scalable reporting practices.
• Work closely with business and senior stakeholders, turning complex data into meaningful insights.
• High team stability and collaborative culture.
• €1200 per year training budget and continuous learning opportunities.
• Private health insurance and benefits package.
• Flexible working hours and hybrid model.
• Wellhub: fitness, wellness, and mental health support.
• Football and paddle tennis teams sponsored by Capitole.
• Team buildings, global events, and strong tech communities.

We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you.

Information Security Notice

• The employee will have access to confidential information related to Capitole and the assigned project.
• Compliance with internal security and information protection policies is mandatory.