Senior Data Engineer

Skalar Alle Jobs Anzeigen
München, Germany
2 days ago
Apply on www.careerjet.de
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English, German

Tech stack

Artificial Intelligence Airflow BigQuery Computer Programming Data Architecture Information Engineering Data Governance Data Infrastructure Data Integrity Extract Transform Load (ETL) Data Warehousing Python (Programming Language)
+11 more
PostgreSQL Standard Sql Next.js TypeScript ReactJS Snowflake Multi-Agent Systems Core Data Information Technology Looker Analytics Data Pipelines

Job description

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.

Requirements

  • 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 & conditions

  • 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
  • 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)

Skalar Wir bauen die Steuerkanzlei der Zukunft - technologiegetrieben, wachstumsorientiert, mandantenfokussiert. Unser Anspruch: Steuerberatung so aufsetzen, wie sie längst sein sollte - möglichst einfach und möglichst digital - für unser Team und unsere Mandanten.

About the company

Skalar Alle Jobs anzeigen

  • München, Bayern
  • Unbefristet
  • Vollzeit

  • 13 Stunden her

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.de
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

4:30 min

Scaffolding pages and routing single-page applications with Next.js

Josh Goldberg · JS Congress

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all