(Senior) Data Engineer / Analytics Engineer (all identities)

• You will be developing comprehensive data models in DBT and being responsible that these models are well tested and documented.

• You will maintain and further develop scalable Python scripts that are used for ETL/ELT processes and different automations within the company.

• You will establish and maintain close relationships with business stakeholders and facilitate close collaboration across teams

• You will represent the data team within one of our company’s squads, ensuring a clear understanding of how changes within the squad impact the data team, while also supporting the squad with valuable data metrics and insights.

• You will work with GitHub and manage .yaml configurations for a variety of purposes, including but not limited to CI/CD, to enhance project automation and integration. 

• You bring several years of experience as a Data or Analytics Engineer or in a closely related field

• You have a degree in computer science, mathematics, natural science, physics or in a related field

• You have profound knowledge in SQL and know how to deal with complex queries, CTEs, window functions and aggregation

• You have sound experience in Python and git

• You have excellent communication skills, essential for managing relationships with stakeholders and facilitating collaboration across teams. 

• You possess strong self-management skills and are capable of taking full ownership of tasks, driving projects forward with minimal supervision. 

• You are a strong team player who enjoys collaborating and achieving goals with your colleagues.

Ideally, you could also already gain experience with: 

• DBT

• Airflow

• AWS

• Snowflake

• Agile working environment

• Looking for commitment? Perfect match! We offer a permanent employment contract.

• You don't want to just be a number? Understandable. With us, the human-being is the focus. Every Casparian* can participate in diversity and inclusion initiatives and thus actively contribute to our work culture.

• You appreciate feedback? We're happy to hear that. We encourage an open feedback culture to learn and grow together.

• You value a good work-life balance? So do we, and that's why we offer flexible working hours, mobile working and various models for part-time work. 

• You want to develop yourself continuously? With an individual plan and bi-annual development talks we pursue your next career steps together.

• You value your health? So do we! We offer weekly, varied sports sessions that are also streamed to your home office. Plus, as a Casparian*, you can take advantage of our health app with mental health-, exercise -, and nutrition modules for free.

• Of course, we also offer fresh fruit and a variety of healthy snacks and drinks in our beautiful office in the heart of Berlin.

Diversity and Inclusion:

At Caspar Health, we strive to provide a friendly, safe and welcoming environment for all Casparians* regardless of ethnic origin, gender, gender identity and expression, sexual orientation, limitations of any kind, physical appearance, social background, age or religion (or lack thereof).

When you apply, we purely focus on your experience and motivation. You decide what additional information you want to disclose (picture, marital status, religion, gender, nationality, etc). We value and treat all applications equally.

We are looking forward to getting to know you!

Dana Kussatz; Talent Acquisition Specialist & HR Business Partner

Please submit your application online. We are also interested in knowing your earliest possible start date and your salary expectations. If you have further questions please reach out to talent@caspar-health.com. We will get in touch with you as soon as we can.

Our product CASPAR Health is used in the environment of medical institutions, patients, doctors and therapists. Working with (sensitive) personal data (e.g. health data) is part of our daily work. Therefore, we require a high level of commitment to the protection of personal data from our employees in order to protect the rights of the data subjects as best as possible.

Note on data protection: