- Location
- Deutschland
- Workplace
- Onsite
- Department
- Berufserfahren
- Seniority
- Senior
- Source
- JOIN
Description
Build our data foundation from v1 -> v10. Join the early core team of experienced entrepreneurs (scaled to millions of users, $100m+ exits). Build the future of tax & accounting with AI. Architect our data warehouse, build resilient pipelines, and enable our finance stack. Grow into leadership as we expand across countries. Above-market pay + meaningful equity.
**The opportunity**
How taxation, accounting and payroll work today is a pain for everyone. Still every business must do it continuously. It is the backbone that our economy runs on.
Enabled through AI, we are turning this often-painful process into a radically simple experience for our customers, so they can focus on what matters to them: growing their business.
**About us**
We are a team of experienced entrepreneurs who have scaled businesses to 10s of millions of users, 10s of millions in revenue, multiple countries, and 9-digit exits - and we are just getting started. We are backed by leading venture investors and expanding rapidly.
**The role**
As our first Data Engineer, you’ll be a core part of building the data architecture behind Skalar. We are past the initial founding phase, but we are still very, very early - meaning pretty much everything you touch will involve greenfield building. While we provide a world-class professional service to our customers, data is our foundation. Your work will allow our future data analysts and scientists to shine in their work.
## Aufgaben
- **0 → 1 and Beyond:** Architect and build our greenfield data warehouse from scratch; take data infrastructure end-to-end.
- **Core Data Pipelines:** Build resilient ETL/ELT pipelines to fetch, clean, and transform massive amounts of financial data from messy third-party APIs and integrations.
- **Integrity & Security:** Establish rigorous data governance, quality checks, and security protocols to ensure absolute data integrity for highly sensitive financial & employee information.
- **Leadership:** Hire and mentor junior engineers (if interested); gain leadership experience as we grow.
**Our tech stack (greenfield)**
- Prefer boring tech where it matters; innovate where it differentiates (especially in AI).
- Our product tech stack is currently TypeScript, Next.js (React) and PostgreSQL. You will have full freedom to select the best tech stack for our data warehouse (e.g., Snowflake/BigQuery, dbt, Airflow/Dagster).
- You’ll have a strong influence on tech, cloud, and architecture choices, specifically regarding data warehousing and orchestration.
- Tooling budget for whatever makes you fast. No legacy, no yak‑shaving.
## Qualifikation
- 5+ years of data engineering experience, with a standout track record of scaling modern data infrastructure (such as BigQuery, Snowflake, Looker and dbt)
- A bachelor’s or master’s degree in computer science or a related field
- You have expert-level SQL skills, strong programming skills in Python and proven experience setting up modern cloud data warehouses and orchestration tools
- You have deep experience dealing with complex third-party APIs, rate limits and asynchronous data fetching
- You have experience with agent frameworks (such as LangChain) and RAG pipelines, and you use AI for nearly all coding tasks
- Very good written and verbal communication skills in English (min. C1), German is a plus
- You have a valid work permit to work in Germany
## Benefits
- Unique opportunity to join a company very early which you can shape
- Rapid growth path: Grow your career with the growing, AI-first company
- Perfect environment to develop relevant skills in a world of AI
- Above-market compensation + equity package, that has the potential to drastically gain in value
1. Jump on an intro call with a recruiter
2. Get to know a fellow engineer, virtually or in person (up to you)
3. Meet our whole founding team during a final interview (in-person, ~3h, incl. live coding)
