Avatar for Alpas
Join us in creating the largest global in-depth supplier database
  • Early Stage
    Startup in initial stages
  • Top Investors
    This company has received a significant amount of investment from top investors
  • YC Funded
    Startup funded by Y Combinator

Senior Data Engineer (f/m/d)

  • €60k – €100k • 0.0% – 1.0%
  • Remote • 
  • 4 years of exp
  • Full Time
Reposted: 2 years ago
Visa Sponsorship

Available

Hires remotely
Everywhere
RelocationAllowed
Skills
Python
C++
SQL
Cloud Computing
Presentation Skills
Logistics
Manufacturing
Communication Skills
Data Architecture
Data Warehouse
ETL
Procurement
Object Oriented Programming
Data Processing
Terraform
Structured and Unstructured data
Rust​
Go

About the job

The role
We are looking for a senior data engineer who is excited to join us in building the first global supplier database. We believe that engineers should accelerate the business through technology, and collaborate across multiple teams to accomplish that. Your role will focus on building critical data pipelines and infrastructure - essential parts of our product and fundamental to the long-term success of our mission.

We mainly work with Python, SQL, Java + Spring, Javascript + React, PostgreSQL and Terraform. We are open to using other technologies.

What we offer

  • A collaborative team tackling a challenging problem together
  • Working in a fast-paced environment with little guidance
  • High ownership and the freedom of managing your own projects
  • Rapid professional development, leadership, and a voice in hiring
  • Awesome team events and an inclusive company culture

Your responsibilities

  • Design, build and maintain high-performance ETL pipelines
  • Develop monitoring and tracking across our data stack
  • Create efficient data models & storage solutions for new datasets
  • Work closely with other engineers to design, operate and scale their pipelines
  • Build cloud infrastructure and productionize algorithms & ML models

Your experience

  • 4+ years of industry programming experience
  • Track record of ownership of technical projects
  • Expert in data processing (e.g. Python, SQL, Rust, C/C++)
  • Real-world experience with unstructured data of various formats
  • Experience in production-grade environments on standard cloud providers, IaC (e.g. Terraform), and various DB architectures
  • Bonus: Experience in procurement, manufacturing, or logistics

What we value

  • Honest, fast, and open collaboration as well as strong communication skills (English)
  • Resourceful self-starters who hold themselves and their team to high standards and have attention to detail
  • Short release cycles, and active participation in our releases
  • Team members who are excited about our mission & tech
  • Shared success through stock options and competitive salaries

If you’re an expert data engineer who loves greenfield projects, we’d love to talk to you!

Alpas is proud to be an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We are committed to equal employment opportunities regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please let us know.

About the company

Alpas company logo
Join us in creating the largest global in-depth supplier database1-10 Employees
Company Size
1-10
Company Industries
Artificial Intelligence / Machine Learning
Company Industries
B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning
  • Early Stage
    Startup in initial stages
  • Top Investors
    This company has received a significant amount of investment from top investors
  • YC Funded
    Startup funded by Y Combinator
Learn more about Alpas image

Perks

Healthcare benefits
Equity benefits
Remote friendly
Pet-friendly office
Professional development
Company events

Founders

Isabel Poppek
Founder • 3 years
Berlin
image
Nils Vollmer
Founder • 3 years
Berlin
image
View the team image

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