Senior Data Engineer (w/m/d)

<p>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 &#x26; 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.</p> <p><strong>The opportunity</strong></p> <p>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.</p> <p>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.</p> <p><strong>About us</strong></p> <p>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.</p> <p><strong>The role</strong></p> <p>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.</p> <h2>Aufgaben</h2> <ul> <li><strong>0 → 1 and Beyond:</strong> Architect and build our greenfield data warehouse from scratch; take data infrastructure end-to-end.</li> <li><strong>Core Data Pipelines:</strong> Build resilient ETL/ELT pipelines to fetch, clean, and transform massive amounts of financial data from messy third-party APIs and integrations.</li> <li><strong>Integrity &#x26; Security:</strong> Establish rigorous data governance, quality checks, and security protocols to ensure absolute data integrity for highly sensitive financial &#x26; employee information.</li> <li><strong>Leadership:</strong> Hire and mentor junior engineers (if interested); gain leadership experience as we grow.</li> </ul> <p><strong>Our tech stack (greenfield)</strong></p> <ul> <li>Prefer boring tech where it matters; innovate where it differentiates (especially in AI).</li> <li>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).</li> <li>You’ll have a strong influence on tech, cloud, and architecture choices, specifically regarding data warehousing and orchestration.</li> <li>Tooling budget for whatever makes you fast. No legacy, no yak‑shaving.</li> </ul> <h2>Qualifikation</h2> <ul> <li>5+ years of data engineering experience, with a standout track record of scaling modern data infrastructure (such as BigQuery, Snowflake, Looker and dbt)</li> <li>A bachelor’s or master’s degree in computer science or a related field</li> <li>You have expert-level SQL skills, strong programming skills in Python and proven experience setting up modern cloud data warehouses and orchestration tools</li> <li>You have deep experience dealing with complex third-party APIs, rate limits and asynchronous data fetching</li> <li>You have experience with agent frameworks (such as LangChain) and RAG pipelines, and you use AI for nearly all coding tasks</li> <li>Very good written and verbal communication skills in English (min. C1), German is a plus</li> <li>You have a valid work permit to work in Germany</li> </ul> <h2>Benefits</h2> <ul> <li>Unique opportunity to join a company very early which you can shape</li> <li>Rapid growth path: Grow your career with the growing, AI-first company</li> <li>Perfect environment to develop relevant skills in a world of AI</li> <li>Above-market compensation + equity package, that has the potential to drastically gain in value</li> </ul> <ol> <li>Jump on an intro call with a recruiter</li> <li>Get to know a fellow engineer, virtually or in person (up to you)</li> <li>Meet our whole founding team during a final interview (in-person, ~3h, incl. live coding)</li> </ol> <p>Find <a href="https://www.arbeitnow.com/">Jobs in Germany</a> on Arbeitnow</a>