Senior Big Data Engineer — Hybrid & High-Impact Pipelines

Gaming Innovation Group; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

International Health Insurance

Health and Wellbeing Package

Birthday Day Off

Me Time - 1 day off per year

Descripción de la vacante

Gaming Innovation Group in Madrid is seeking a Senior Big Data Engineer to own analytics, design, and build of major realtime big data projects within the Data department. You will contribute to code reviews and promote best practices while delivering robust solutions across all big data initiatives.

You will drive data-driven decision making, harness information to enable strategic growth, and collaborate across teams to ensure scalable data engineering.

Formación

• Experience with Spark, Kafka, Nifi, ClickHouse and big data datastores.
• Strong data modeling and schema design skills.
• Proficiency in SQL and data extraction.
• Experience with Python and/or Java.
• Experience with cloud computing and distributed systems.

Responsabilidades

• Design, create, and maintain ETL processes, data integrations, and data pipelines.
• Ensure seamless handling of vast amounts of data.
• Develop high-performance services to process, store, and analyse large datasets using optimised code.
• Design and implement data validation and quality checks.
• Troubleshoot live production systems to ensure smooth operations.
• Test and implement new technologies, staying current with industry advancements.

Conocimientos

Spark

Kafka

Nifi

ClickHouse

SQL

Python

Java

Data modeling

Cloud / distributed systems

Descripción del empleo

Gaming Innovation Group in Madrid is seeking a Senior Big Data Engineer to own analytics, design, and build of major realtime big data projects within the Data department. You will contribute to code reviews and promote best practices while delivering robust solutions across all big data initiatives.

You will drive data-driven decision making, harness information to enable strategic growth, and collaborate across teams to ensure scalable data engineering.