Senior Data Developer (SQL)

Jordan martorell s.l.; España; A distancia; EUR 45.000 - 60.000; Jornada completa

Descripción de la vacante

A data solutions company in Spain is seeking a Senior Data Developer to enhance data pipelines for marketing systems. Ideal candidates will have over 3 years of ETL development experience, strong SQL skills, and an understanding of data warehousing. This role involves collaboration on data architecture and ensuring data integrity across environments.

Formación

• 3+ years of experience in ETL development, preferably with Informatica PowerCenter or similar tools.
• Strong SQL skills and understanding of database design.
• Experience in optimizing ETL performance and troubleshooting data issues.

Responsabilidades

• Maintain and enhance data pipelines for marketing systems.
• Collaborate on data architecture decisions.
• Ensure data integrity and performance across multiple environments.

Conocimientos

ETL development

SQL

Data integration

Performance optimization

Analytical skills

Herramientas

Informatica PowerCenter

Oracle

AWS

Azure

Databricks

Descripción del empleo

Job Role & Location

Senior Data Developer – Lithuania/Latvia/Estonia/Spain, Sweden

Job Description

We are looking for a Data Developer to join our team supporting enterprise‑level marketing and data‑driven solutions. The ideal candidate will have a strong background in ETL development, data integration, and performance optimization, with the ability to collaborate on data architecture decisions. This role focuses on maintaining and enhancing data pipelines for marketing systems (e.g., Pega Marketing) and ensuring data integrity and performance across multiple environments.

Qualifications / Required Skills

• 3+ years of experience in ETL development (Informatica PowerCenter, ODI or similar tools).
• Strong SQL and database design skills (preferably in Teradata, Oracle or similar enterprise databases).
• Proven experience in optimizing ETL performance and troubleshooting data issues.
• Understanding of data modeling, data warehousing, and data integration concepts.
• Strong analytical and problem‑solving skills.

Preferred

• Experience with Kafka or other streaming platforms (nice to have).
• Familiarity with cloud environments (AWS, Azure).
• Experience with Databricks.
• Knowledge of version control tools (GitHub) and CI/CD processes.