Senior Data Engineer (w/m/d) at Skalar Deutschland
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

11 Jan, 27

Salary

50000.0

Posted On

13 Oct, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

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.

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.

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.



Qualifikation


  • 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


  • 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

How To Apply:

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Responsibilities
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