Senior Spark Backend Engineer – Remote (Big Data)

Ust España & Latam; el Lloar; A distancia; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training platforms access

Flexible work hours

WFH/Remote policy

Descripción de la vacante

UST, a multinational technology services company, seeks a Senior Backend Spark Developer (Remote from Spain) to design and optimize data-processing solutions within the Client Contribution platform. You will build scalable Big Data pipelines, lead architectural decisions, and collaborate with multiple teams to ensure performance and reliability.

The role requires 5+ years with Spark (Scala/Python), strong SQL, and experience with Azure Databricks and Hive, plus CI/CD and Agile practice.

Formación

• Minimum 5 years of experience with Apache Spark (Scala or Python)
• Strong experience with Apache Spark (must-have)
• Proficiency in Scala or Python
• Solid SQL knowledge and data modelling skills
• Experience with Azure Databricks and Hive
• Experience working in CI/CD and DevOps environments (Git, GitHub, Sonar, Nexus)
• Agile mindset and experience working in Agile environments
• English level B2+ and Spanish (at least C1+)

Responsabilidades

• Lead technical decisions and contribute to architecture design
• Develop, maintain, and optimize Big Data pipelines
• Ensure performance, scalability, and reliability of solutions
• Troubleshoot and resolve complex technical issues
• Collaborate with functional and technical teams across multiple workstreams
• Mentor and support other team members, fostering knowledge sharing

Conocimientos

Spark

Scala/Python

SQL

Azure Databricks

Hive

CI/CD

DevOps

Agile

English

Spanish

Herramientas

Git

GitHub

SonarQube

Nexus

Airflow

Descripción del empleo

UST, a multinational technology services company, seeks a Senior Backend Spark Developer (Remote from Spain) to design and optimize data-processing solutions within the Client Contribution platform. You will build scalable Big Data pipelines, lead architectural decisions, and collaborate with multiple teams to ensure performance and reliability.

The role requires 5+ years with Spark (Scala/Python), strong SQL, and experience with Azure Databricks and Hive, plus CI/CD and Agile practice.