Location: Full remote.
Schedule: Full-time.
Timezone: Ideally, availability within the Italian time zone (CET).
We are looking for a Data Engineering to ensure consistency in architectural and technical decisions across systems and software, while supporting the Data Engineering team in key technical definitions.
This role will be responsible for driving project kick-offs, lifecycles, and roadmaps, as well as overseeing project streams, communication, and issue management. He will also ensure delivery quality through code reviews, pair programming, and validation of the Definition of Done, while maintaining proper documentation and progress tracking.
Ensure consistency in architectural and technical decisions regarding systems and software
Manage and support the Data Engineering team in technical decisions
Support project kick-offs, lifecycles, and roadmaps
Create and maintain Jira cards, documentation, and progress updates
Conduct code reviews, pair programming, and verify the Definition of Done
Oversee the project stream, communication, and issue management.
5+Advanced proficiency in Python and Scala; must be able to write production-grade code.
Extensive hands-on experience with data streaming applications, specifically using Flink or Spark Structured Streaming, and Apache Kafka.
Proven expertise in developing and managing data batch frameworks (Apache Spark) and orchestrators (ArgoWF or Apache Airflow).
Solid, applied experience in Cloud Infrastructure environments, specifically AWS (Amazon Web Services), including deployment, security, and resource optimization.
Strong proficiency in setting up and utilizing CI/CD pipelines, containerization, and version control systems (Git).
Demonstrated problem-solving skills and ability to troubleshoot complex distributed systems.
Advanced English required.
We help tech leaders move faster, stay aligned, and build what matters.
After scaling and selling companies to eBay and Naspers, we built Eureka Labs to be the kind of partner we always wanted: fast-moving, deeply embedded, and focused on outcomes.
Our model: dedicated nearshore teams, tailored AI solutions, zero fluff.
Each team is custom-built to match your goals, culture, and stack—integrating smoothly and taking ownership from day one. With an NPS of 89, we’ve earned our partners’ trust by cutting through complexity and delivering real impact.
Behind it all is a culture we’re proud of: great people who love what they do and stay for the long run.
Scaling is hard. We make it work.
