We are looking for a Senior Data Engineer for our US-based client – a integral leader in connectivity intelligence, delivering data-driven insights and solutions that optimize networks, enhance digital experiences, and drive innovation for service providers, enterprises, governments, and individuals worldwide.
Project – advanced SaaS analytics platform for mobile operators, which collects, analyzes, and correlates massive volumes of network performance and user experience data. This gives the ability to help make the internet better, faster and more accessible for everyone. Daily you will be working with data pipelines taking our raw data, delivered through APIs, to enhanced datasets that can be used by data analysts and data scientists.
Requirements:
• Proven experience building both streaming and batch data pipelines
• Hands-on experience with the AWS cloud platform
• Proficient in SQL and comfortable working with Python
• Experience designing and optimizing data models tailored for analytics and used in BI tools like Tableau
• Familiar with data orchestration tools such as Apache Airflow
• Deep experience with Spark and Iceberg
• Comfortable working with Docker and Kubernetes
• Solid understanding of data warehouse solutions like BigQuery or Amazon Redshift
• Ability to thrive in a fast-paced, start-up environment
• Background in or familiarity with the telecom industry is a plus
• Strong communication skills in English (Upper-Intermediate level or higher)
Responsibilities:
• Participate in the design and help drive the implementation of our data platform
• Design, implement, and operate streaming and batch pipelines that scale
• Partner with both engineers and data analysts to build reliable datasets that can be trusted, understood, and used by the rest of the company
• Work with data pipelines taking our raw data, delivered through APIs, to enhanced datasets that can be used by data analysts and data scientists
We offer:
• Competitive salary
• Vacation (up to
📌 Senior Data Engineer (España)
🏢 nCUBE
📍 España