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Senior Data Engineer in Berlin

Pnyks

Salary
40,000 - €80,000
Stock
0.1 - 0.2%
Workplace
Onsite
Hours
Full-Time
Internship
false
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Job Description

What We Do:

We are on a bold mission to give people full control over their data through a C2B data marketplace called DataWallet. It’s a platform that allows people to control who can access their data and for what purpose, allowing them to profit from an asset that is rightfully theirs. It makes their data actionable through, e.g., the personalization of existing services web services by powering companies’ AIs with their data.

Through this decentralized Customer to Business (C2B) data exchange, will we disrupt the the $300 billion data brokerage market by harnessing the Blockchain to empower users to control and profit from their data. Early investors include Tim Draper and Marc Benioff.

The Role:

We are looking for a full-time data engineer. You will be at the core of making people's data work for them. You will design and maintain the ETL data pipeline---from pulling and parsing data from various APIs to populating normalized RDBs and calculating cached views (usually in a NoSQL form) to power our various data products and services. While you are not constrained in your tools, our current stack involves Airflow, Python, js/node, PostgreSQL, MongoDB, and AWS hosting. You will be a core part of a highly skilled and motivated team located between Berlin and New York City that is changing one of the most unethical sectors in our modern economy.

What We are Looking For:

[Minimum Qualifications]
At least 5 years of software engineering experience (Python or Javascript), with at least 2 years experience in a data-focused role
Expertise in building out data pipelines, efficient ETL design, implementation, and maintenance
Mastery of RDBs and ability to generate normative schemas from datasets
Experience with NoSql dbs (such as MongoDB)
Passion for creating data infrastructure technologies from scratch using the right tools for the job
Experience building and maintaining a data warehouse in production environments
Ability to turn vague requirements into clear deliverables with minimal guidance

[Other desirable qualifications]
Experience with Apache Airflow, AWS tools, git, Linux.
Experience with systems for transforming large datasets such as Spark or Hadoop
Familiarity with Python-based data science tools (e.g., pandas) is also highly desirable.

Compensation:

Highly competitive wages
Flexible work hours
New equipment: Macbook Pro, nice monitors, and Bose headphones
Opportunities to travel to both the Berlin and New York City HQ


 

About Pnyks

  • Blockchain

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