Senior Data Engineer (w/m/d)

Join; München; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Equity package

Above-market pay

Rapid growth path

AI-first environment

Zusammenfassung

Skalar is building the data foundation from v1 to v10 and expanding across countries. As our first Data Engineer, you will architect the greenfield data warehouse, implement end-to-end pipelines, and establish governance to enable analysts and data scientists.

You will join an early entrepreneurial team with above-market pay and meaningful equity, with opportunities to grow into leadership as we scale across markets. Strong AI/ML tooling exposure is expected.

Qualifikationen

• 5+ years of data engineering experience with modern data infrastructure.
• Bachelor’s or Master’s in computer science or related field.
• Expert-level SQL and Python; cloud data warehouses and orchestration tools.
• Experience with third-party API data, rate limits and asynchronous fetching.
• Experience with AI-assisted coding and LangChain/RAG pipelines preferred.
• Strong written and spoken English; German a plus; valid work permit for Germany.

Aufgaben

• Architect and build the greenfield data warehouse from scratch.
• Develop resilient ETL/ELT pipelines to ingest and transform financial data from APIs and integrations.
• Establish data governance, quality checks, and security protocols for sensitive information.
• Lead and mentor junior engineers as the team grows.

Kenntnisse

Data engineering

SQL

Python

Cloud data warehouses

ETL/ELT pipelines

APIs & integrations

LangChain/RAG

Communication (English)

Leadership (optional)

Ausbildung

Bachelor's or Master's in CS or related

Tools

dbt

Airflow

Snowflake

BigQuery

PostgreSQL

Jobbeschreibung

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)