Senior Data Engineer
Pubblicato il 09-08-2026 - Uni Systems in Bardi
At Uni Systems, we are working towards turning digital visions into reality.
We are continuously growing and are looking for a professional Senior Data Engineer to join our UniQue Ispra team.
Tutte le competenze, le qualifiche e l'esperienza necessarie per un candidato di successo sono elencate nella seguente descrizione.
In this role, you will have the opportunity to work closely with our customers in the public sector.
You will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio through strong, long-lasting relationships, and monitoring project progress to provide excellent client service and added value.
What will you be bringing to the team?
Development, maintenance, and documentation of software, mainly in Python, focusing on data analytics applications, data engineering, and data collection tools.
Participation in data science projects led by the European Institution's scientific staff, including software engineering tasks such as requirement analysis, development, testing, and documentation.
Engagement in project update and review meetings with project stakeholders.
Requirements
What do you need to succeed in this position?
Master's degree + 13 years of experience.
Ability to design and implement robust data pipelines for ingestion, cleaning, transformation, and storage of diverse data sources.
Strong experience in software testing, including frameworks for defining and automating tests such as regression and negative testing.
Experience in implementing best practices for software quality assurance,
including unit, component, user acceptance, negative, and stress testing.
Experience deploying software tools and services, defining APIs, using DevOps practices, CI/CD pipelines (e.g., GitLab).
Proficiency in debugging complex Python software and troubleshooting deployment aspects like dependencies, drivers, networking, and GPU hardware.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Willingness to stay updated with the latest in machine learning and data science technologies and libraries.
Ability to produce clear technical documentation in English.
Additional training or certifications in data science and machine learning are advantageous.
Additional Information
At Uni Systems, we promote equal employment opportunities and prohibit discrimination based on gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation, or any other characteristic.
Please refer to our Diversity, Equality & Inclusion Policy for more details.
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
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