---
title: 'Senior Data Engineer (w/m/d) at Skalar'
canonical: 'https://feeny.ai/job/senior-data-engineer-w-m-d-skalar-munich-6wey1bzgktfb'
type: 'job'
last_seen: '2026-11-10'
---

# Senior Data Engineer (w/m/d) at Skalar

- **Company:** Skalar
- **Location:** Munich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-16
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/Skalar/66fa9b2c-4ca6-4792-ae6e-428d46d11776

## Job description

## 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)

## About Skalar

## Company Overview
- **One-liner**: Skalar is building the most advanced, tech-first tax firm for SMEs by combining deep tax expertise with cutting-edge AI and automation.
- **Entity Type**: Private (Startup, early-stage)
- **Headquarters**: Munich, Bavaria, Germany
- **Founded**: 2025
- **Founders**: Not publicly named, but described as a team of experienced entrepreneurs who have scaled businesses to 10s of millions of users, 10s of millions in revenue, and 9-digit exits.

## Core Business
- Primary industry/industries: Tax Services, Accounting, Fintech, Software
- Target customers: Small and medium-sized enterprises (SMEs) in Germany and across Europe (B2B)
- Mission or purpose statement: "Build the most efficient and client-centric tax firm for SMEs. Focus fully on your business, we'll take care of your finances."

## Products & Services
- **Greenfield Tax & Accounting Platform**: A technology-driven, AI-enabled platform that handles taxation, accounting, and payroll for SMEs. The service is delivered as a professional service with a software core, aiming to turn a painful process into a "radically simple experience" for customers.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Funded by "leading venture investors" (specific fund name not yet publicly revealed). Seed stage with 11 total employees as of mid-2025.
- **Notable Investors/Partners**: Not publicly named, but described as "leading venture investors."
- **Growth Signals**: Recently founded (2025), actively hiring for 6+ key engineering roles (Founding Engineer, Senior Full-Stack, Senior AI Engineer, Senior Data Scientist, Senior Data Engineer, Product Engineer) indicating a strong build phase and intention to scale rapidly across countries.

## Competitive Advantages
- **Deep Domain + Tech Fusion**: Combines real tax expertise with modern AI and automation, not just software but a full-fledged professional service with a tech backbone.
- **Founding Team Experience**: Founders have previously scaled to millions of users and achieved 9-digit exits.
- **Greenfield Opportunity**: All products and infrastructure are being built from scratch, allowing for modern architecture and no legacy technical debt.
- **AI-First Approach**: Deep integration of LLMs and AI into core workflows, not just as an add-on.

## Strategic Focus
- **Scale & Expansion**: Building a scalable platform from the ground up, with an explicit plan to expand across multiple countries.
- **AI Integration**: Using AI to automate complex tax operations, moving from a manual/traditional model to a radically simpler, tech-driven one.
- **Hiring for Leadership**: Actively building the core engineering team, with an emphasis on mentoring junior engineers and growing into leadership as the company scales.

## Why Work Here
- **Culture**: Early-stage startup culture with high autonomy and impact. Described as a "unique opportunity to join a company very early which you can shape."
- **Location & Work Model**: Primarily in-office in Munich, with some roles offering hybrid options.
- **Compensation**: "Above-market pay + meaningful equity." Salaries for Senior Full-Stack Engineer are listed in the range of €100K - €150K annually.
- **Engineering Culture**: Modern stack (TypeScript, Next.js, React, PostgreSQL, Vercel, Docker). "Prefer boring tech where it matters; innovate where it differentiates." Strong emphasis on shipping fast, iterating with user feedback, and influencing both tech and product choices. Tooling budget for "whatever makes you fast."
- **Team**: Small team (11 employees) with a flat hierarchy. You work directly with the founding team.

## Sources
1. [BuiltIn - Skalar Jobs](https://builtin.com/company/skalar/jobs)
2. [BuiltIn - Senior Full-Stack Engineer Job Posting](https://builtin.com/job/senior-full-stack-engineer/9021794)
3. [Ashby - Skalar Careers Page](https://jobs.ashbyhq.com/Skalar)
4. [skalar.com - About Us](https://www.skalar.com/about-us)
5. [skalar.com - Homepage](https://www.skalar.com/)

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