Data Engineer (m/f/d) – Service Configuration Intelligence | MOIA | Remote (Germany)
Job Description
Join us as a Data Engineer (m/f/d) in our Service Configuration Intelligence team on a shared journey that matters!
We are a small team of analysts, data scientists, and data engineers, passionately working on creating a better understanding of how the parameters of our system interact and affect efficiency and economic viability! We aim to combine the needs of riders and licensing partners to create a service that is as efficient as possible and provides an excellent customer experience for riders. For that, we provide analytical tooling that provides reporting, monitoring, simulations and decision-support enabling our stakeholders to build a world-class ride pooling service.
What you will do
- Design, implement and deploy datasets and pipelines in our data lake.
- Ensure data quality and consistency across our data landscape.
- Create data infrastructure for our product and orchestrate our pipelines effectively.
- Collaborate closely with fellow data colleagues within the team and across the company to ensure deep integration of our products in the overall data landscape at MOIA.
What will help you to fulfill your role
- You have worked in the field of data before (e.g., as Analytics Engineer, Data Engineer, or Analyst)
- Designing data models and building data pipelines (e.g., with Python or SQL) is nothing new to you. Experience with dbt is a plus
- You know your way around developing and deploying cloud infrastructure and services (e.g., with AWS CDK or Terraform)
- Our company language is English, so fluent communication is a must
We encourage you to apply even if your profile does not meet all the requirements for the role since we are looking for a diverse range of experiences, skills, and interests. We are certain that there will be something for everyone because we are working on such a variety of tasks and embrace individual growth at MOIA.
In case you have questions regarding your application, you can approach the recruiter Dennis directly.