The Role
Build the company’s greenfield data foundation, including its warehouse, resilient ETL/ELT pipelines, governance, quality controls, and security for sensitive financial data. Select cloud and orchestration technologies, integrate complex third-party APIs, and support AI-driven finance products. The role offers opportunities to hire and mentor engineers and grow into leadership.
Summary Generated by Built In
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)
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)
Skills Required
- 5+ years of data engineering experience
- Track record of scaling modern data infrastructure, such as BigQuery, Snowflake, Looker, and dbt
- Bachelor’s or master’s degree in computer science or a related field
- Expert-level SQL skills
- Strong programming skills in Python
- Experience setting up modern cloud data warehouses and orchestration tools
- Deep experience with complex third-party APIs, rate limits, and asynchronous data fetching
- Experience with agent frameworks such as LangChain and RAG pipelines
- Use of AI for nearly all coding tasks
- Very good written and verbal English communication skills, minimum C1
- Valid work permit to work in Germany
- German-language proficiency
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Skalar is a Munich-based digital tax advisory and accounting firm serving businesses across Germany. It combines tax expertise with technology to provide fully digital, proactive, and personalized bookkeeping, payroll, tax compliance, financial statements, and strategic advisory services. The company focuses on simplifying finance operations for clients, using automation and AI-enabled tools to reduce manual work and improve communication, transparency, and responsiveness.
