• Conducting research into existing sensor cleaning systems used in agricultural machinery, AGVs, and AMRs.
  • Designing and developing a novel cleaning concept tailored to barn environments.
  • Creating a functional prototype to be tested in real-world farm conditions.
  • Performing tests and evaluations to validate the effectiveness and durability of your design.
  • Documenting and presenting findings and design iterations.
  • Working closely with engineers and product development specialists in a multidisciplinary team.
  • Gather and submit critical information through various data sources
  • Manage complex Excel worksheets and reporting processes
  • Track and analyse industry performance
  • Support the team in monthly logistics planning
  • Assist in required presentations for internal and external meetings
  • Work very closely with our senior management and support the business growth
  • Support the commercial activity: structure and carry out essential research and market analysis and help to prepare “points of view” documents
  • Participate in projects and be embedded in client-facing teams: preparing analysis and modelling, writing client documents, participating in workshops, etc.
  • Assisting in managing intelligence on forthcoming deals, and working on targeting Financial Institutions
  • Working directly with the Head of Talent Acquisition, TA Leads and Talent Acquisition Business Partners on administration side around our candidate experience and onboarding.
  • Interacting with our People Operations team, Mobility team and our People Team
  • Provide Administration support the Onboarding process for new hires
  • Participate in team meetings and provide input on recruitment and onboarding initiatives
  • Ensuring a positive candidate experience throughout the recruitment process
  • Maintain confidentiality and handle sensitive information with discretion
  • Perform other duties as assigned
  • Assist in designing, building, and maintaining data pipelines using Databricks.
  • Support the development of ETL processes for consistent and accurate data across the data lakehouse.
  • Collaborate with BI engineers to structure data for reporting and analytics.
  • Learn to optimize data workflows for performance, scalability, and reliability.
  • Troubleshoot and resolve basic issues in data pipelines and infrastructure under supervision.
  • Align data engineering efforts with business objectives within an agile Scrum team.