RSS export of vacancies - Only featured vacancies : No / Profession : HUMAN RESOURCES, TRAINEES

2026-590 - HR CORPORATE TRAINEE M/F

Tue, 01 Sep 2026 10:11:07 Z

Position description :

n/a
Location : AZUQUECA

2026-632 - Digital Development Intern – Lithium Technology (Salesforce) M/F

Mon, 24 Aug 2026 08:08:34 Z

Position description :

Exide Technologies (www.exidegroup.com) is an internationally leading provider of innovative and sustainable battery storage solutions for automotive and industrial applications. With more than 135 years of experience, Exide has developed and globally marketed innovative batteries and systems, contributing to the energy transition and driving a cleaner future. Exide Technologies' culture and strategy are centered on recycling, sustainability, and environmental responsibility. The company has 11 manufacturing and 3 recycling facilities across Europe, ensuring resilience and a low CO2 footprint with a local supply chain. With a team of 5,000 employees, we provide €1.6bn energy storage solutions and services to customers worldwide, every year. About the job: For our growing division, Motion, in Bolton, UK, as soon as possible, we are looking for a Digital Development Intern - Lithium Technology (Salesforce). Reporting to the Service Operations Manager Europe, your mission will be to support the design, development, testing, and continuous improvement of Salesforce-based business processes that support Exide's Lithium Technology activities. The Digital Development Intern will work closely with business stakeholders and the Digital/IT team to analyse requirements, enhance workflow efficiency, support data management, and contribute to the successful implementation of digital solutions that improve sales, customer engagement, and operational performance within the Lithium business. This role provides an opportunity to gain practical experience in digital transformation, CRM development, process automation, and emerging battery technologies. What will your daily responsibilities include in this role? Support the ongoing development and maintenance of a new custom Salesforce object, workflows, flow, validation rules and dashboards. Assist in gathering and documenting business requirements from Lithium Technology stakeholders. Perform testing and validation of new Salesforce functionality. Support data quality, reporting, and process automation initiatives. Create user guides, documentation, and training materials. Analyse business processes and identify opportunities for further digital enhancement. Assist with troubleshooting and user support activities. Participate in digital transformation projects related to Lithium products and customer solutions. What we ask for: Currently studying towards or recently completed a degree in Computer Science, Information Systems, Business Technology, Data Analytics, Engineering, or a related discipline. Strong interest in Salesforce, digital technologies, business process improvement, and automation. Analytical and problem-solving skills with attention to detail. Good communication and interpersonal skills. Ability to work effectively within cross-functional teams. Proficiency in Microsoft Office applications, particularly Excel and PowerPoint.
Location : Bolton

2026-474 - MANAGER, HR PLANT AZUQUECA M/F

Mon, 24 Aug 2026 07:58:44 Z

Position description :

n/a
Location : AZUQUECA
Language / Level :
English : C1 - Advanced
Language / Level :
Spanish : 4- Mother tongue

2026-660 - R&D Trainee System Tester (AI Driven Software) M/F

Mon, 24 Aug 2026 07:50:31 Z

Position description :

Within Customized Energy Systems which is part of the Exide Technologies group we have our core software which controls the Battery Energy Storage System (BESS). Various peripherals are used to read the signals required for control or to cool / heat the batteries or monitor the safety systems. Battery Energy Storage Systems (BESS) are increasingly used to support the energy transition, grid stability, and industrial electrification. Beyond basic monitoring, leading BESS vendors are now integrating AI-driven analytics and digital twins to optimize battery lifetime, detect degradation and imbalance early, and reduce operation & maintenance (O&M) costs. Within our organization, BESS systems already generate high-resolution operational data. This data is logged locally on each system and partially transferred to the cloud for visualization. The next step is to transform this data into actionable intelligence, using AI models and a digital-twin approach. Assignment Description During this project, you will work at the intersection of energy systems, data analytics, and applied AI. The assignment is modular and can be scaled to your level (HBO /MSc). Key activities may include: • Analysing existing BESS operational data (voltages, currents, temperature, SOC, events). • Defining KPIs and health indicators related to capacity loss and imbalance. • Developing and validating AI models for capacity estimation and imbalance detection. • Building a digital-twin prototype that allows scenario or “what-if” analysis (e.g. impact of imbalance, aging, or operating conditions). • Translating results into clear outputs for service and O&M use cases. • Designing or advising on a cloud-based infrastructure for AI analytics (data flow, model execution, outputs). The project is exploratory and research-oriented, but strongly connected to real systems in operation HBO or MSc student in Electrical Engineering, Energy Systems, Data Science, AI, or Embedded/Industrial Software. • Interest in battery systems, energy storage, or smart energy solutions. • Experience with or interest in Python, data analysis, and basic machine learning. • Analytical mindset, able to structure complex technical problems. • Comfortable working with real operational data
Location : Helm
Minimum level of education required : 6- Others

2026-661 - R&D Trainee System Tester (simulation for softwaretesting) M/F

Mon, 24 Aug 2026 07:50:06 Z

Position description :

Within Customized Energy Systems which is part of the Exide Technologies group we have our core software which controls the Battery Energy Storage System (BESS). These systems are build up from different peripherals. We require a model for each peripheral such that we can build a representative system in a model which we can used for software testing. The aim of the project is to create a simulation through which we can test our core software before releasing it. This will greatly improve our software validation options. Currently our core software is not tested against systems in the field but only rigorously tested against software tests. The disadvantage of this is that the peripherals can through up different results which are not covered in a software test. Assignment description / Deliverables: • Create a platform for automated system tests which can be reliably repeated • Create models which simulate different peripherals (Batteries, converters, meters, HVACs, etc) (propose to use: Open Modelica, SciLab or similar) • Be able to add different scenarios - the platform should be scalable • Scalable: first versions of the peripherals should be improved on at a later stage • Introduce different errors at different peripherals Suggestions for software framework to use: • Python • Robot framework • Behave • pytest Student Profile • HBO or MSc student in Electrical Engineering, Energy Systems, Data Science, AI, or Embedded/Industrial Software. • Interest in battery systems, energy storage, or smart energy solutions. • Experience with or interest in Python, data analysis, and basic machine learning. • Linux software development, test mind set, problem solving • Analytical mindset, able to structure complex technical problems. • Comfortable working with real operational data.
Location : Helmond