We love to see people grow. We empower our product teams, farmers, dealers and suppliers to move forward. Driving the digital future of Kramp Group by discovering and building great products, making life easy for our customers.Kramp Group develops e-commerce, supply chain, finance and data science solutions to advance the ag-tech industry. We’re building a digital platform serving thousands of customers and generating over one billion euros in annual turnover.Who is your team?You will be part of the

Data Office , an international, cross-functional team comprising:Data ModernizationData FoundationAs a Data Foundation team, we drive data innovations from the core, ensuring data is secure, scalable, and intelligent.Our mission?

To build and maintain the foundation powering Kramp’s data-driven future. This includes enabling modern, secure, and scalable data infrastructure that ingests raw data and transforms it into valuable assets across the organization.We’re leading transformation with cutting-edge tools like DBT Cloud, a modern tech stack, and a Data Mesh approach, fostering an environment where AI, machine learning, and automation can thrive.This team is shaping the future: from building foundational pipelines to developing AI tools. If you’re excited about impactful work, modern technology, and being part of something big, we’re just getting started.The team is building Kramp''s

self-service analytics platform

on Google Cloud Platform, feeding into:Data visualization tools (e.g., Tableau)Kramp''s Machine Learning platformWhat to expect:The Data Office is an international, cross-functional team combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development.We work within Agile SCRUM methodologies using Atlassian tools (JIRA, Confluence, GitHub, Git).Our state-of-the-art cloud data warehouse utilizes Python, Java, BigQuery SQL, and GCP services like Cloud Build, Data Transfers, Workflows, Schedulers, and Functions.We make use of dbt cloud, Terraform, and Data Modeling tools.This role offers deep insights into the operations of an international wholesaler amid digital transformation, allowing you to make a real impact and develop new ideas.You will have the freedom to initiate and develop new ideas.Who are you?What will help you succeed?Openness to continuous learning and agility in addressing business challengesExperience designing, developing, documenting, and maintaining software in Python and/or Java, along with SQL dataflowsKnowledge of data modeling principles and choosing appropriate ones based on needsComfort working with Linux, git, Docker, and CI/CD pipelines or eagerness to learnExperience with cloud environments (preferably GCP or AWS)Knowledge of Infrastructure-as-Code tools like Terraform, data transformation tools like dbt and DataformCultural awareness, sensitivity, and adaptability to diverse backgroundsStrong conceptual thinking and proactive decision-makingExperience with Striim is a plusWhat do we offer?Ambitious, fast-growing, financially stable organization25 vacation days and 12 additional days (full-time)Flexible working hours and locationTravel and remote work allowancesProfit sharing bonusTraining and courses budgetParticipation in international, cross-functional teams focused on customer journeys, combining Business Analysis, Data Science, and Software DevelopmentInterested in joining us? Please submit your CV and cover letter via the application button. Even if you don’t meet all requirements, we encourage you to apply and convince us of your potential.Questions? Contact

Julia , Tech Talent Acquisition Partner, at

julia.bodun@kramp.com .About usKramp is a leading European supplier in the agricultural parts market, heavily investing in e-business and innovation. We aim to make it easy for our customers to operate their businesses. Working at Kramp means collaborating with over 3,500 international colleagues who are enthusiastic, professional, and committed. Our culture is built around the promise "It’s that easy," emphasizing community, impact, and personal development.

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