Senior Data Engineer (w/m/d)

Skalar – Digitale Steuerberatung; München; On-site; EUR 90,000 - 130,000; Full time

Job summary

Skalar – Digitale Steuerberatung sucht einen Data Engineer, der die data foundation von Grund auf aufbaut. Von der grünen Wiese bis zur Produktion gestalten Sie die Architektur und die Pipelines für Finanzdaten aus APIs und Integrationen.

Einfluss auf Cloud-Architektur, ML-getriebene Coding-Ansätze und Leadership-Erfahrungen stehen im Vordergrund. Sie arbeiten in einem frühen, internationalen Team und haben die Freiheit, die Tech-Stack-Entscheidungen zu beeinflussen.

Qualifications

• 5+ years of data engineering experience with modern data infrastructure.
• Bachelor's or master's degree in CS or related field.
• Expert SQL, Python, and cloud data warehouses.
• Experience with third-party APIs and rate limits.
• Experience with LangChain and RAG pipelines; AI-assisted coding.
• Strong English (C1); German a plus.
• Valid work permit for Germany.
• Leadership potential and mentoring ability.

Responsibilities

• Architect and build our greenfield data warehouse from scratch; end-to-end data infrastructure.
• Build resilient ETL/ELT pipelines to fetch, clean, and transform financial data from APIs and integrations.
• Establish data governance, quality checks, and security protocols for sensitive data.
• Hire and mentor junior engineers; gain leadership experience as we grow.
• Influence tech, cloud, and architecture choices for data warehousing and orchestration.
• Work with Snowflake/BigQuery, dbt, Airflow/Dagster; select best stack.

Skills

SQL

Python

Data warehousing

ETL/ELT

Cloud data warehouses

LangChain

RAG pipelines

English (C1)

Education

Bachelor's or Master's in CS

Tools

Snowflake

BigQuery

Looker

dbt

Airflow

Dagster

PostgreSQL

Job 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.

• 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.

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


• 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


• 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)