Senior Data Engineer

Uni Systems

Ispra

In loco

EUR 60.000 - 80.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

A leading company in technology seeks a Senior Data Engineer to join their team in Ispra. This role involves developing data analytics applications and collaborating with public sector clients. Ideal candidates will have a Master's degree and extensive experience in data engineering, Python, and software testing, ensuring robust data pipelines and quality assurance practices.

Competenze

Master's degree + 13 years of experience.
Ability to design and implement robust data pipelines.
Experience in deploying software tools and services.

Mansioni

Develop and maintain software for data analytics applications.
Participate in data science projects with European Institution's staff.
Engage in project updates and reviews.

Conoscenze

Python

Data Engineering

Software Testing

DevOps

Machine Learning

Formazione

Master's degree

Strumenti

Docker

Kubernetes

GitLab

Descrizione del lavoro

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.

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.

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