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# Data Engineer

- **Company:** Adikteev
- **Location:** Málaga, Spain (Remote available)
- **Salary:** €58,000.0 - €60,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Data Infrastructure, Data Stores, Data Systems, Python (Programming Language), Scrum Methodology, Redis, Data Streaming, Apache Spark, Data Lakes, Cassandra, Real Time Data, Apache Kafka, Api Design, Data Pipelines
- **Published:** July 14, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Have rock-solid skills in Spark, Scala, and handling big data systems ;
 + Are comfortable navigating around at least one of the big clouds (AWS, GCP) ;
 + Are familiar with data streaming and building data lakes ;
 + Know your way around CI/CD pipelines and tools ;
 + Are hands-on with Kafka for handling real-time data ;
 + Are a Python pro, with a side of Redis and Cassandra know-how ;
 + Played around with Airflow for workflow management ;
 + Have strong problem-solving skills to tackle complex challenges head-on ;
 + Speak English fluently.
Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in France or the European Union in order to be considered for this position.

## Description

You would join the AI Automation team. They build the data infrastructure and AI foundations that power Adikteev's internal operations. Their mission spans three areas: modernising data pipelines and datalake architecture, improving internal and external reporting, and deploying agentic AI use cases across all departments.
WHAT YOU WILL DO

 + Keep our data infrastructure running smoothly: manage data stores, processes, and scheduling ;
 + Make sure data is always available: oversee processing, storage, aggregation, and API development ;
 + Bring in fresh ideas to improve our tools and workflows ;
 + Suggest new and exciting solutions to upgrade our data infrastructure ;
 + Manage our data science algorithms: ensure they're scalable and running smoothly ;
 + Work closely with our SCRUM team ;
 + Keep an eye on our data systems' scale, making sure they can handle our growing needs ;
 + Streamline our data processes by integrating efficient testing, monitoring, alerting, and error recovery.


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