Senior Data Engineer
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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 youll 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 youll 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 (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).
- Youll 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 yakshaving.
Requirements
What youll 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 bachelors or masters 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 youll 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)
- 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)
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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.
