**TL;DR** 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 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. **TL;DR** 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 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. ## Tasks **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. **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. ## Requirements **What you’ll bring** * 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 **What you’ll get** * 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 **The process (fast, meaningful, no homework)** 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)

Tasks

**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. **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.

Requirements

**What you’ll bring** * 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

**What you’ll get** * 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 **The process (fast, meaningful, no homework)** 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)