Senior Data Engineer — Scalable Solutions

vor 1 Monat

Frankfurt am Main, Hessen, Deutschland Next Mobility Labs Circunomics Airive Vollzeit
About the Role

We are seeking a highly skilled Data Engineer to join our team at Next Mobility Labs // Circunomics // Airive. As a key member of our engineering team, you will be responsible for designing, developing, and deploying scalable, maintainable, and efficient applications using Python 3, FastAPI or Flask, with optional use of Angular.

Key Responsibilities
  • Design and implement end-to-end development processes to ensure seamless integration of back-end components.
  • Manage and process large datasets in (near) real-time big data environments, ensuring precision and efficiency.
  • Develop and manage ETL (Extract, Transform, Load) processes to handle data efficiently throughout its lifecycle.
  • Implement caching services like Redis to improve application performance.
  • Develop and manage data pipelines using Airflow.
  • Provide guidance and mentorship to junior developers, fostering a culture of continuous learning and improvement within the team.
  • Collaborate with architects and other developers to design robust, high-performance, secure application architectures.
  • Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the successful delivery of features.
  • Write clean, efficient, and well-documented code while setting and maintaining high standards for code quality through code reviews, testing, and automated tooling.
  • Containerize applications using Docker and manage container orchestration with Kubernetes.
  • Create and manage infrastructure using Helm Charts and Terraform.
  • Deploy and manage applications on AWS cloud platforms, including S3, ECR, EKS, RDS, and EFS.
  • Create data visualizations using Plotly.
  • Implement CI/CD pipelines using GitHub.
  • Troubleshoot and resolve application issues while optimizing performance.
Requirements
  • Minimum 5 to 7 years of professional experience as a Data Engineer, particularly with Python 3, FastAPI, or Flask, and optional familiarity with Angular.
  • Deep knowledge in managing (near) real-time big data environments, dealing with datasets starting from terabytes.
  • Proficiency in implementing ETL (Extract, Transform, Load) processes, ensuring effective and efficient data handling throughout its lifecycle.
  • Strong analytical and problem-solving skills and ability to tackle complex technical challenges.
  • Excellent communication and interpersonal skills and ability to convey complex technical concepts to non-technical stakeholders.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities and projects simultaneously.
  • Good command of the English language.
What We Offer
  • Flexible hours.
  • Work-from-home options.
  • Low hierarchies and open feedback culture.
  • Open & international environment.
  • Modern offices are in the city center of Frankfurt.
  • English is the company language and is used in international working environments.
  • Attractive development perspectives with creative freedom for growth.
  • Shape the future circular battery space and the green energy transition.

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