Senior Data Engineer (m/f/d)

Founded in 2021, the company runs a trailblazing marketplace that redefines one of the largest supply chains on earth. The company’s mission is to unlock the vast potential of cross-border supply for the Western Market by providing global access to high-quality products through its innovative platform. Since its launch in January 2022, the firm has operated discreetly with no public profile or media coverage while it has successfully served hundreds of companies. Serving both major industry players and mid-sized companies, the company utilizes a cutting-edge technology platform that is growing ultra-fast. Having secured substantial capital from top-tier VCs, Unicorn and Decacorn founders, and industry experts through various funding rounds, the company is well-funded and is extending its team.

The Tech team will allow you to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems.

Tech Stack: Python, Spark, SQL, Postgres, Kinesis, Databricks, Terraform, AWS.

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.
• 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.