Remote Otter LogoRemoteOtter

Data Engineer - Remote

Posted 3 weeks ago
Software Development
Full Time
Germany
Python
Pandas
SQL
PostgreSQL
Apache Airflow
Cloud Computing
AWS
Azure

Overview

The Data Engineer will develop and maintain data pipelines using Python and Airflow, collaborating with cross-functional teams to optimize data processing and storage.

In Short

  • Develop and maintain data pipelines using Python (pandas) and Airflow.
  • Collaborate with cross-functional teams to gather and define data requirements.
  • Optimize data processing and storage for performance, scalability, and efficiency.
  • Participate in code reviews by giving and receiving constructive feedback.
  • Write clean, testable, and well-documented code.
  • 2-5 years of experience in data engineering.
  • Strong proficiency in Python, particularly pandas.
  • Proven experience with SQL and relational databases (e.g. PostgreSQL).
  • Experience with Apache Airflow is a plus.
  • Familiarity with cloud computing platforms (AWS, Azure) is a plus.

Requirements

  • Residence and work permit in Germany required.
  • Fluent in English (C1 level); German is a plus.

Benefits

  • Almost unlimited growth opportunities.
  • Exposure to renowned clients and relevant business problems.
  • Competitive compensation.
  • 100% remote work flexibility.
  • Regulated working hours — no overtime, no weekend work.
  • Modern tech stack.
  • Support in setting up your home office.
  • Support for professional development.
  • Diverse team.
AllocNow logo

AllocNow

AllocNow GmbH is a forward-thinking company dedicated to driving sustainability in the chemical sector, which significantly contributes to global greenhouse gas emissions. The company focuses on providing innovative solutions that simplify the complexity of chemical value chains, making sustainability data accessible and actionable for a wide range of users. With a mission to lead the way towards a zero-carbon economy, AllocNow GmbH emphasizes continuous improvement and growth, both for its employees and its cloud-based infrastructure, which is primarily hosted on AWS and utilizes Kubernetes. The company fosters an inclusive work environment and offers competitive compensation, along with opportunities for professional development.

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