Job
- Level
- Lead
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you develop the data foundation for AI products, shaping the design of data pipelines and making architecture decisions within the Data Stack using tools like dbt, Airflow, and BigQuery.
Job Technologies
Your role in the team
- As Lead Data Engineer (m/f/d), you will build the data foundation on which Theos AI products run.
- We are building the AI operating system for property management, and your mission is to provide the data for our agents and automations.
- You take on a Lead IC role at the intersection of Tech Lead, Architect, and hands-on Engineer, significantly shaping the design and development of our data layer: from extraction from documents and operational systems to production-ready deployment for our AI products.
- You build and operate the data layer that supplies our AI agents and automations with reliable, well-structured context.
- This forms the basis for our systems and products to make correct decisions.
- You set the engineering standard for the data team: from testing, CI/CD, and code review to observability, incident response, and support processes.
- You work hands-on with tools such as dbt, Airflow, and BigQuery to implement solutions and develop your own data pipelines.
- You make architecture decisions for our entire Data Stack: from ingestion through transformation to delivering data for our products.
- You coach other engineers through pairing, 1:1s, and technical leadership, thereby elevating the overall level of the entire team.
- You work closely with Senior TPM, VP of Product, and stakeholders, actively contributing technical perspectives to roadmap decisions and trade-offs.
- You work quickly, pragmatically, and in small increments, with a clear focus on productive delivery, simplicity, and sustainable quality.
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Our expectations of you
Qualifications
- You naturally utilize AI-powered tools throughout your entire development process.
- You have demonstrably built and operated productive data pipelines and are familiar with the practical requirements for reliability, maintainability, and scalability.
- You think strongly in terms of reliability, testability, and maintainability, and set high technical quality standards.
- You think about data consumption through AI systems and build the data layer in a way that agents and automations can reliably rely on it.
- You make pragmatic decisions between SaaS solutions and custom builds, for example with tools like Airbyte or Fivetran.
- You have a good sense for prioritization, discovery, and breaking down complex work, and you take responsibility and ownership for your tasks.
Experience
- You have at least 4 years of experience in software or data engineering.
- You have extensive practical experience with SQL, Python, and dbt.
- You have hands-on experience with GCP, particularly with BigQuery and Cloud Composer / Airflow, or with comparable technologies.
- You have German language skills at C1 level or higher and have experience in the German-speaking work environment.
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What we offer
- At Theo, Data Engineering is a key lever to transform a traditionally analog industry into a modern, AI-native service.
- As a Lead Data Engineer, you join early enough to significantly influence architecture, engineering standards, and working methods — while already working in an environment with real operational impact, high relevance, and a direct connection to the core business.
- You work in a small, experienced, and interdisciplinary environment with direct access to Product, Data, and Leadership functions, short decision-making processes, and a high degree of personal responsibility.
- Your work has a direct impact on how robust our data platform is, how effectively our teams operate, and how well we can support property owners and other stakeholders in the real estate context in their daily activities.
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Topics that you deal with on the job
Job Locations
This is your employer
hallo theo
hallo theo GmbH is a forward-thinking company based in Berlin that specializes in contemporary property management. With an emphasis on local teams and AI-driven methods, it is transforming the property management sector in Germany. The company is expanding through strategic acquisitions and investments in personnel and infrastructure.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Construction, Real Estate, Building Services
Lead Data Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
