Data Engineer

Data Engineer Fully remote within Germany or Hybrid in

Bremen Full-time, Permanent About the Company We build

production-grade software designed around intelligence. Not as a

plugin. Not as a feature. As a core part of the system itself. We

designed our proprietary specifications and state-of-the-art

methodology to build products where reasoning, automation, and

adaptive logic are integral to the foundation, not an afterthought.

Role Summary You will take ownership of our technical data domain

and help shape a young, modern data architecture. You will work

with a current tech stack, including a Data Warehouse, Airflow, and

dbt, enabling you to make an immediate impact. Your work ensures

that our data is stable, consistent, and ready for meaningful use,

helping us understand what restaurants need and how we can support

them. Responsibilities Identify and integrate relevant data sources

so they are structured, consistent, and reliably usable Provide

data to internal teams and create clear dashboards and reports

Maintain, monitor, and develop our data infrastructure (Airflow,

dbt, Clickhouse, Metabase) Ensure data stability, traceability, and

overall quality, including analysing and resolving data issues

Build data pipelines and data models that enable accurate analysis

and reporting Support data analysis and ensure correct

interpretation and meaningful use of data Must-Have Requirements 4+

years of experience in the data field, ideally in a startup or

small team with end-to-end ownership Strong skills in SQL and

Python , plus experience with Airflow , dbt , and Data Warehouses

e.g., Clickhouse ) Deep understanding of data models, pipelines,

data quality, and data infrastructure Independent, structured, and

proactive working style with clear communication Fluency in English

• Conversational German appreciated Nice-to-Have Qualifications

Experience developing young infrastructures into robust, scalable

systems Strong problem-solving mindset with a focus on long-term

stability Ability to bring clarity and structure to complex data

challenges What We Offer The opportunity to shape and evolve our

young data landscape Modern infrastructure with Data Warehouse,

Airflow, dbt, and a current tech stack Full ownership of the data

domain and an advisory role in data decisions A collaborative

product environment with engineers, designers, and business teams A

technical sparring team for support, plus developers managing

server and DevOps topics Close collaboration with the leadership

team and the chance to make a visible impact quickly A meaningful

mission where clarity, quality, and impact matter Egym Wellpass

across Germany and high-end hardware for smooth work Competitive

Salary (experience-based) Hiring Process Our hiring process

typically includes an initial conversation, a technical interview

or task, and a final discussion with the team. We aim to keep the

process transparent, respectful of your time, and focused on mutual

fit. Equal Opportunity Statement We are an equal opportunity

employer. We welcome all qualified applicants and do not

discriminate on the basis of age, gender, sexual orientation,

religion, ethnicity, disability, or any other protected

characteristic.