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 opportunityHow 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 usWe 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.TasksThe roleAs 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.

• 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

• 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)

SkalarWir 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.