Senior Data Engineer (m/f/d)

Location: Onsite. Berlin Mitte, Germany.

About Company
Founded in 2021, the company is a trailblazing supply chain platform that has redefined the way large construction material orders are sourced, distributed, and financed. They are on a mission to unlock the vast potential of cross-border supply for the Western Market by providing access to high-quality construction materials at a global scale through their innovative platform. Since its launch in January 2022, the company has successfully served hundreds of companies and generated exponential growth toward profitability.

The company’s distinct competitive advantage lies in its ability to organize the supply chain through digital innovation. By eliminating middlemen and embracing tech-first and AI, it creates a seamless connection between suppliers and buyers. Its proprietary platform technology not only facilitates supply and demand matching but also offers a comprehensive suite of services, including cloud inventory management, fulfillment solutions, and fintech capabilities.

Since its inception, the company has been at the forefront of construction material management, helping companies access high-quality materials efficiently and cost-effectively. The platform provides a user-friendly experience that empowers businesses to thrive. The company counts 75+ FTEs located across Germany (Berlin HQ), China, and India. The company is on track to achieve profitability and generated triple digits million GMV.

Tasks

• Craft, clean, and optimize large datasets to make them useful for various business use cases.
• Collaborate with stakeholders to understand business needs and translate them into actionable data intelligence solutions. Utilize machine learning techniques to extract insights and predictive analytics from data.
• Design and implement solutions for processing and analyzing data in real-time to support dynamic business needs and decision-making processes.
• Analyze repetitive and predictive tasks in after-sales processes to understand customer behavior, predict future needs, and automate routine tasks.
• Lead the development of a robust data platform including data store, pipeline architecture, and data warehouse infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
• Proven experience in data engineering, particularly with big data technologies and platforms.
• Strong proficiency in machine learning techniques and statistical analysis.
• Hands-on experience with real-time data processing frameworks such as Kafka or Spark.
• Familiarity with buyer experience optimization strategies including catalog management and pricing algorithms.
• Proficiency with data platform development and cloud-based technologies, preferably with exposure to Databricks (nice to have).
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Ability to adapt to a fast-paced, dynamic environment and drive results in a rapidly evolving organization.

Benefits

• Small team, flat hierarchy, mission-driven. The usual buzzwords here, except we actually mean them. We’re small, lean, and we love what we’re doing.
• A modern tech stack to work with. Our CI/CD is built with GitHub Actions, and we use AWS for our infrastructure.
• You have an impact - you’ll be building a product that people need and are grateful for. Our excellent NPS reviews speak for themselves. We are building our products around people, and they love it!
• You’ll have the freedom to experiment. We do hack days/hack weeks where you can experiment with new technologies and new ways of working.

Join one of the fastest-growing B2B companies in Europe, led by an international, intercultural team of serial entrepreneurs, and experienced executives.

Internal job reference: f2e35ed0-05b7-44be-a766-3b7c89c71bba