Senior Data Engineer (w/m/d)

Skalar; München; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Unique opportunity to shape the company

Rapid growth path in AI

Above-market compensation plus equity

Zusammenfassung

Skalar is looking for a Data Engineer to join their early core team in Munich. As the first Data Engineer, you'll lead the architecture and build of a greenfield data warehouse, creating resilient pipelines and ensuring data integrity for financial information.

The position offers above-market pay, equity, and the chance to grow into leadership roles while shaping the company's data strategies in an AI-driven environment.

Qualifikationen

• 5+ years of data engineering experience with a track record of scaling data infrastructure.
• Strong programming skills in Python and expert-level SQL skills.
• Experience with complex third-party APIs and asynchronous data fetching.

Aufgaben

• Architect and build a greenfield data warehouse from scratch.
• Build resilient ETL/ELT pipelines for financial data.
• Establish data governance and security protocols.

Kenntnisse

Data engineering experience

Expert-level SQL skills

Python programming skills

Experience with third-party APIs

AI usage for coding tasks

Communication skills in English

Ausbildung

Bachelor’s or Master’s degree in computer science or related field

Tools

BigQuery

Snowflake

Looker

dbt

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.

Unser techn 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