We are still looking for the very Top Talent…and we would be delighted if you were to join our team
More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35,000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
What we look for?
We are looking for a Senior Backend Spark Developer responsible for the design, development, and optimization of data processing solutions within the Client Contribution platform. You will play a key role in building scalable and high-performance Big Data pipelines while collaborating across multiple teams.
High English level is required.
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
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
Strong analytical skills and proactive attitude
English level B2+ (minimum) and Spanish (at least C1+)
Nice to have:
Experience with orchestration tools (Control-M, Airflow or similar)
Knowledge of Hadoop ecosystem
Interest or experience in AI technologies applied to data engineering, analytics, or automation
Experience with AI-assisted development tools or contributing to AI-driven data platforms
What can we offer?
23 days of Annual Leave plus the 24th and 3
📌 Senior Backend Spark Developer (España)
🏢 UST España & Latam
📍 España
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