SK

Senior Data Engineer (w/m/d)

Skalar· 9 open roles

Location TBD On-siteBerufserfahren56 years ago
Salaryest.
€80,000 - €140,000
Experience
Mid
Job Type
Berufserfahren
Posted
56 years ago
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About This RoleAI processing…

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.

Key Responsibilities

  • 1
    0 → 1 and Beyond: Architect and build our greenfield data warehouse from scratch; take data infrastructure end-to-end.
  • 2
    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.
  • 3
    Integrity & Security: Establish rigorous data governance, quality checks, and security protocols to ensure absolute data integrity for highly sensitive financial & employee information.
  • 4
    Leadership: Hire and mentor junior engineers (if interested); gain leadership experience as we grow.

Requirements

  • 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

Perks & 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
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)

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