Salary context for this role
JobGrid.eu combines visible employer pay, official public benchmarks, and current JobGrid listings for Data Science & ML.
Official sector context
EUR 19.36 / hour Approx. EUR 40,269 / yearSpain country-level public salary context for Professionals in Information and communication; not a role-specific salary estimate, based on 2022 earnings data.
- Match quality
- Context only, not a role salary
- Geography
- Country-level
- Sector
- Information and communication
- Occupation group
- Professionals
- Salary observations
- 2022 earnings survey
- Official record updated
- Feb. 9, 2026
- Checked by JobGrid
- May 11, 2026
JobGrid listing details
JobGrid.eu keeps the employer description in its original language and adds clear listing facts, freshness, and source context so candidates can evaluate the role before applying.
- Key details
- 1 location, IT, Data Science & ML, Hybrid, Full time
- Current openings
- 11 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 12, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional AI & 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 and you will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio by building strong, long-lasting relationships, and monitoring the progress of the projects, with the aim to provide excellent client service and added value services.
What will you be bringing to the team?
- Understand engineering, environmental, and Sevilla process aspects, including current data collection and analysis workflows
- Collaborate with stakeholders to support data-driven insights and recommendations
- Ensure data quality, validation, integrity, and proper information management
- Develop and maintain internal documentation, procedures, and guidelines
- Manage and update SharePoint thematic spaces
- Maintain Teams group to support communication and collaboration
- Participate in training and capacity-building activities related to AI and data science
- Develop web crawlers and automated data pipelines for emerging technology monitoring
- Implement AI/NLP models to analyse and categorise technology trends
- Maintain systems for continuous monitoring of technology deployment across industries
- Integrate external data sources, APIs, and databases
- Build tools to process and analyse large volumes of stakeholder input (e.g. comments, reports, notes)
- Implement NLP models for:
- Text classification
- Topic modelling
- Sentiment analysis
- Summarisation
- Develop dashboards and analytics systems to support policy teams
- Implement privacy-compliant and data protection architectures
- Ensure compliance with security standards and data governance policies
- Design systems enabling secure participation in consultation processes
- Design scalable architectures integrating AI models, databases, APIs, and cloud services
- Implement CI/CD pipelines for AI-enabled applications
- Monitor and maintain deployed systems
- Collaborate daily with project officers, IT services and relevant European Institution data teams
- Participate in agile development processes and iterative feedback loops