Mid IoT Data Streaming Engineer (Remote)

URBIOTICA; Barcelona; Híbrido; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Indefinite contract

50% remote time

Office in Barcelona

Descripción de la vacante

Urbiotica is seeking a Mid-level Data Streaming Software Engineer to join our Barcelona-based software team. You will help build and scale streaming pipelines processing real-time IoT sensor data for smart city applications.

The role focuses on distributed systems, data infrastructure, and reliable, scalable data processing with modern tools like Flink, Iceberg, Trino, Redis, and RabbitMQ. 50% remote time is available in a hybrid setup.

Formación

• Solid understanding of data streaming concepts and experience with large-scale data volumes.
• Good understanding of IoT technologies and challenges of processing data from distributed sensor networks.
• Hands-on experience with Apache Flink for stream processing.
• Experience with Apache Iceberg as a table format for large analytical datasets.
• Strong proficiency in Python.
• Experience with Trino for distributed SQL querying.
• Familiarity with Apache Polaris (or similar catalog/governance tools).
• Experience with RabbitMQ for messaging and event-driven systems.
• Experience with Redis for caching and low-latency data access.
• 3+ years of software engineering experience, ideally in data-intensive or streaming environments.

Responsabilidades

• Design, build, and maintain real-time data streaming pipelines capable of handling large volumes of data from thousands of IoT devices.
• Develop and optimize stream processing jobs using Apache Flink.
• Work with Apache Iceberg to manage large-scale data lakes.
• Write efficient Python code for data processing, integration, and automation tasks.
• Use Trino to enable fast, federated analytical queries across our data platform.
• Manage data governance and table catalogs with Apache Polaris.
• Design and maintain messaging and event-driven architectures using RabbitMQ.
• Work with Redis for caching and real-time data access.
• Collaborate with data engineers, backend developers, and IoT hardware teams to ensure end-to-end data quality.
• Contribute to architectural decisions, code reviews, and ongoing improvements of the streaming platform.

Conocimientos

Data streaming concepts

IoT technologies

Python

Apache Flink

Trino

RabbitMQ

Redis

3+ years experience

Herramientas

Apache Iceberg

PostgreSQL

Kubernetes

Docker

AWS

Apache Spark

Pandas

Scikit-learn

React

TypeScript

Claude Code

GitHub Copilot

Descripción del empleo

Urbiotica is seeking a Mid-level Data Streaming Software Engineer to join our Barcelona-based software team. You will help build and scale streaming pipelines processing real-time IoT sensor data for smart city applications.

The role focuses on distributed systems, data infrastructure, and reliable, scalable data processing with modern tools like Flink, Iceberg, Trino, Redis, and RabbitMQ. 50% remote time is available in a hybrid setup.