Senior Data Engineer (w/m/d)

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
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• 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.

• 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.

• 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

• 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


• Jump on an intro call with a recruiter


• Get to know a fellow engineer, virtually or in person (up to you)


• Meet our whole founding team during a final interview (in\-person, \~3h, incl. live coding)

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