Analytics Engineer

Kramp; Biggleswade; On-site; GBP 40,000 - 60,000; Full time

Job summary

Kramp is seeking an Analytics Engineer to transform raw data into actionable insights for operations. You will enhance our data warehouse and contribute to the development of scalable solutions, ensuring our analytics capabilities meet business needs. Join a dynamic team and help shape the data landscape at a leading company in the ag-tech industry.

Benefits

25 vacation days and 12 ATV days

International environment with 66 nationalities

Flexible hours and location policy

Travel and home working allowances

Profit sharing bonus

Budget for training and courses

Qualifications

• Deep experience in SQL and data modeling principles.
• Proven experience with dbt on Google BigQuery or similar.
• Hands-on experience with Google Cloud Platform (GCP) or AWS.

Responsibilities

• Partner closely with business and IT stakeholders to design scalable data solutions.
• Design, build, and maintain high-quality data pipelines for analytics.
• Lead the transition to a modern data warehouse.

Skills

SQL Mastery

Data Pipeline Development

Team-Oriented & Collaborative

Ownership & Independence

Business-Driven Mindset

Clear Communication

Tools

Google Cloud Platform

dbt

Tableau

AWS

Job description

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 aim to give the ag-tech industry a push forward. We’re building a digital platform serving thousands of customers and generating over one billion euros in turnover annually.

As an Analytics Engineer, you play a critical role in transforming raw data into clean, reliable, and business-ready insights. You serve as the essential link between data engineers and business analysts, combining deep technical expertise with strong business acumen. Your work ensures our data warehouse is technically sound, accessible, well-modeled, and aligned with business needs. You will design scalable data models, implement software engineering best practices (including version control, CI/CD, and testing), and contribute to data governance. You will help manage structured and unstructured data, enabling consistent, accurate, and timely reporting and analytics across the organization.

Tech Stack: dbt | Google BigQuery / SQL | Tableau (occasionally) | Python (occasionally)

Your team: You’ll join a dynamic department (AI&T) of ~30 professionals, including project managers, solution builders, and business experts - all working together to accelerate growth across Commerce and Operations.

Within the Analytics & BI (ABI) team (9 professionals), we support:

• 600+ business users with interactive dashboards and self-service tools
• 30 analysts with curated, well-modeled datasets
• A data science team leveraging data for advanced modeling and prediction

This position is based in Varsseveld & Utrecht and focuses on serving our Operations stakeholders, working with systems such as TMS, WMS, and ERP. With a major ERP migration upcoming, you will play a pivotal role in shaping our data landscape's future.

Your mission:

• Partner closely with business and IT stakeholders to understand needs and translate them into scalable data solutions
• Navigate and integrate complex source systems across countries and domains
• Design, build, and maintain high-quality, reliable data pipelines for analytics and decision-making at scale
• Lead the transition to a modern, future-proof data warehouse

Who are you? What will help you succeed?

Core competencies:

• Team-Oriented & Collaborative: Work well in a multidisciplinary team and contribute to shared goals
• Ownership & Independence: Take initiative, own your work end-to-end, and proactively address challenges
• Business-Driven Mindset: Understand the "why" behind the data and design solutions that drive impact
• Clear Communication: Communicate effectively with technical and business audiences in English

Key technical skills:

• SQL Mastery & Data Modeling Expertise: Deep experience in SQL and modeling principles (Kimball, DataVault)
• Data Pipeline Development in dbt: Proven experience with dbt on Google BigQuery or similar platforms
• Cloud Environment Experience: Hands-on experience with Google Cloud Platform (GCP) or AWS
• CI/CD & Version Control: Familiarity with git and CI/CD workflows

Bonus:

• Visualization & Self-Service Enablement: Proficient in Tableau or similar tools (PowerBI, Looker)
• Python Knowledge: Ability to write basic data transformation scripts in Python

What we offer:

• 25 vacation days and 12 ATV days (full-time)
• International environment with 66 nationalities
• Flexible hours and location policy
• Travel and home working allowances
• Profit sharing bonus
• Budget for training and courses

Interested? If you find this role challenging yet exciting, please apply with your CV and cover letter. Even if you don’t meet all requirements, we encourage you to apply and convince us of your fit. For questions, contact Julia, Tech Talent Acquisition Specialist, at [e-mail].

About us:

Kramp is active throughout Europe, leading in the agricultural parts market. We invest heavily in e-business and innovation, aiming to make it easy for our customers to run their businesses. Working at Kramp means collaborating with over 3,500 international colleagues who are enthusiastic and professional. Our culture is rooted in our promise, "It’s that easy," emphasizing belonging, impact, and development.