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Merantix AI Campus

(Senior) Data Engineer



Data Science
Berlin, Germany
Posted on Saturday, April 20, 2024

About this position

We’re looking for a highly motivated and experienced Data Engineer to contribute to the scaling of our data infrastructure to meet the evolving needs of our growing business. As a Data Engineer, you will play a key role in delivering and enhancing GLSNXT data pipelines and warehouses while focusing on Looker development. This position involves building and maintaining ETL processes, and data models, ensuring data quality, and implementing Looker for data visualization and analytics. As one of the first hires inside our technology organization, all doors are open for personal and professional development – you are in the driver's seat!

Your responsibilities

  • Collaborate across functions to scale the GLSNXT data infrastructure.
  • Contribute to the roadmap and development of the GLSNXT data analytics pipeline and data warehouse.
  • Design, build, monitor, and scale data pipelines for Data Warehousing, incorporating various data sources and destinations.
  • Develop data models and schemas to support analytical requirements.
  • Work with other engineering teams to resolve architecture and infrastructure challenges and design effective solutions.
  • Participate in cross-functional projects supporting data applications and reporting.
  • Address data quality issues and implement best practices.
  • Create and maintain comprehensive systems documentation.
  • Implement Looker for data visualization and analytics, including designing and setting up Looker models, establishing connections to data sources, creating dashboards and reports, and ensuring data quality and consistency within the Looker environment.

What you need to be successful


  • Bachelor's degree in Computer Science or a related engineering field
  • 5+ years of proven experience in data engineering roles
  • Expertise in designing, building, monitoring, and scaling pipelines for data warehousing.
  • Hands-on experience with modern data engineering platforms (Apache Spark, Apache Airflow, etc.)
  • Hands-on experience with modern data programming languages (Python, Go)
  • Hands-on experience with cloud platforms (AWS and GCP)
  • Hands-on experience with data-warehousing technologies, including Google BigQuery and Snowflake


  • Proficient in SQL data sources and destinations
  • Strong data modeling and schema design skills
  • Experience with Looker and LookML
  • Familiarity with Segment CDP is a plus
  • Thrive in fast-moving and agile environments
  • Ability to establish and manage software development operations (CI/CD) and agile methodologies
  • Excellent communication skills, both written and verbal, and proficient in English
  • Organized, with the ability to prioritize tasks, manage their projects, and allocate their time according to business objectives

What we are offering you / Your benefits

  • Hybrid working mode with a flexible and tailor-made remote policy
  • A competitive compensation package
  • Opportunity to work with the latest tech stacks
  • Opportunities for career growth and advancement as well as personal budget for learning and development initiatives
  • Great office space in Berlin Mitte and regular team events in a supportive and inclusive work environment


GLS/NXT was founded recently and aims to build the next generation of logistic experiences driven by technology - core, adjacent & beyond. More specifically, our sphere of interest is the Logistics and e-Commerce sectors. We are entrepreneurs and hence always start with the user’s needs. We are located between Corporate and Startups and leverage the benefits from both (startup speed and corporate muscle). GLS/NXT inhabits different venture teams, acting as startups with business responsibility and setting their vision, mission, and business plan.

Sounds interesting? We are excited to get to know you!

Our commitment

GLS/NXT is an equal opportunity employer, which means we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating an inclusive environment for all employees.


For this position, relocation to Germany/visa support is not provided, thus only applicants that already have a valid work permit in Germany are encouraged to apply.