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Senior Data Engineer (w/m/d)

Skalar -
München

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Details zur Stelle

Vollzeit

Qualifikationen

Cloud-Architektur
Informatik
React
Master
SQL
Bachelor
PostgreSQL
APIs
Künstliche Intelligenz
Führungserfahrung
TypeScript
Python

Vollständige Stellenbeschreibung

TL;DR

Senior Data Engineer.
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.

What you’ll own

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.

What you’ll bring

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

What you’ll get

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

The process (fast, meaningful, no homework)

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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