Senior Big Data Engineer — Real‑Time Pipelines (Hybrid)

Tecnalis-Solution-Providers; Barcelona; Híbrido; EUR 90.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Great career development opportunities

Hybrid working model

International Health Insurance

Health and Wellbeing Package (350 EUR/

Descripción de la vacante

GiG is seeking a Senior Big Data Engineer in Barcelona to lead design, development and support of major realtime big data projects. You will own ETL pipelines, data validation, and performance optimisations while promoting best practices within the data team.

Based in Barcelona with a hybrid work model, you will collaborate across data and technology departments, drive data-driven decision making, and contribute to scalable, robust data solutions for global initiatives.

Formación

• Strong expertise with Spark, Kafka, NiFi, ClickHouse and related datastores.
• Deep knowledge of schema design methods and data models.
• Extensive SQL-based data extraction and query skills.
• OO language skills in Python and/or Java.
• Experience with cloud computing and distributed systems.

Responsabilidades

• Design, create, and maintain ETL processes and data pipelines.
• Handle large volumes of data with robust processing.
• Develop high-performance services to store and analyze large datasets.
• Design data validation and quality checks to ensure accuracy.
• Troubleshoot live production systems and resolve issues.
• Explore and implement new technologies to stay ahead.

Conocimientos

SQL

Python/Java

Data Modeling

Cloud computing

Herramientas

Spark

Kafka

NiFi

ClickHouse

Big Data Datastores

Descripción del empleo

GiG is seeking a Senior Big Data Engineer in Barcelona to lead design, development and support of major realtime big data projects. You will own ETL pipelines, data validation, and performance optimisations while promoting best practices within the data team.

Based in Barcelona with a hybrid work model, you will collaborate across data and technology departments, drive data-driven decision making, and contribute to scalable, robust data solutions for global initiatives.