Senior Engineer, Data Engineering

Capitole; Barcelona; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Private health insurance

Annual training budget

Flexible hours

Team events

Global tech communities

Descripción de la vacante

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

You will apply cloud technologies, modern data platforms, and strong software engineering practices to deliver high‑impact data products, governance, and performance improvements across the organisation.

Formación

• 5+ years in Data Engineering with hands-on background.
• Strong AWS experience including S3, Lambda and Redshift.
• Hands-on with Airflow, DBT, and Docker; Snowflake or similar.
• Experience building ETL/ELT pipelines, data modelling, tuning.
• Strong SQL and Python for data engineering tasks.
• Experience with Agile and JIRA.
• Knowledge of GitHub workflows, CI/CD, and best practices.
• Strong problem solving and independent work capability.

Responsabilidades

• Design, develop, and maintain scalable data pipelines.
• Develop data solutions using AWS, Airflow, DBT, Snowflake, and similar tech.
• Build robust ETL/ELT pipelines with reliability and performance.
• Model data and optimize transformations across environments.
• Collaborate with stakeholders to translate needs into data solutions.
• Enhance data quality, governance, and security practices.
• Follow GitHub, CI/CD, testing, and code quality standards.
• Participate in Agile ceremonies and backlog discussions.

Conocimientos

Python

SQL

Agile methodologies

JIRA

GitHub workflows

CI/CD

Herramientas

AWS

S3

Lambda

Redshift

Airflow

DBT

Docker

Snowflake

ClickHouse

Descripción del empleo

Senior Data EngineerWe 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.

Must Have

• 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.

Nice to Have

• 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?

• 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.

• 1200 per year training budget and continuous learning opportunities.
• Private health insurance and benefits package.
• Flexible working hours and hybrid model.
• Team buildings, global events, and strong tech communities.

Information Security NoticeThe employee will have access to confidential information related to Capitole and the assigned project.