Data Engineer
KrampAbout the role
We love to see people grow. We empower our product teams, farmers, dealers & 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 discovers and builds e-commerce, supply chain, finance & data science solutions that are aiming at giving the ag-tech industry a push forward. We’re building a digital platform, serving thousands of customers and generating a turnover of over one billion euros per year.
Who is your team?
You will be the part of Data Office which is an international cross-functional team, combining:
Data Modernization;
Data Foundation.
As a Data Foundation team, we are driving data innovations from the core making data work securely, scalable, and smartly.
Our mission? To build and maintain the foundation that powers Kramp’s data-driven future. That means enabling modern, secure, and scalable data infrastructure that ingests raw data and transforms it into golden assets across the organization.
We’re not just supporting the business - we’re leading transformation. With cutting-edge tools like DBT Cloud, a modern tech stack, and a Data Mesh approach, we’re creating an environment where AI, machine learning, and automation can thrive.
This is the team shaping what’s next: from foundational pipelines to building future-ready AI tools. If you’re excited about real impact, modern tech, and being part of something big - we’re just getting started.
The team is building the foundation of Kramp's self-service analytics platform in Google Cloud Platform-based data warehouse (DWH). Feeding different targets as:
Data visualization tools (e.g. Tableau);
Data-driven e-commerce applications;
Kramp's Machine Learning platform.
What to expect:
The Data Office is international, and cross-functional team, combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development;
Working within Agile SCRUM Methodologies and the Atlassian toolchain (JIRA, Confluence,GitHub, Git);
To build our state-of-the-art cloud data warehouse, we use Python, Java, BigQuery SQL, other Google Cloud Platform services such as Cloud Build, Data transfers, Workflows, Schedulers and Functions;
Making use of dbt cloud, Terraform and Data Modelling Tools;
You will get deep insights into the work at an international wholesaler being in the middle of the digital transformation, you can contribute and make a real impact;
Freedom to initiate new ideas and develop these further.
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