15 авг

data engineer for an automotive platform

ориентир по рынку
вакансия зп не указана
в среднем 205 446 ₽
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описание

mobile.de operates an automotive platform that connects buyers and sellers and supports successful vehicle transactions. Its Qualify, Communicate & Transact cluster covers leasing, dealer lead conversion, and tools for trading vehicles from private sellers.

задачи

  • Design, implement, schedule, and monitor ETL/ELT pipelines for the data lake and data warehouse following software engineering best practices;
  • Build and maintain well-tested and well-documented data models using dbt for analysts and business stakeholders;
  • Contribute to creating and defining reports and dashboards that increase transparency into business processes;
  • Collaborate with analysts, data engineers, data scientists, and product managers across mobile.de;
  • Serve as a point of contact for questions about datasets within assigned domains;
  • Identify data quality issues, coordinate their resolution, and support preventive improvements;
  • Recommend ways data can support product improvements and business decisions;
  • Evaluate and pilot new tools and approaches, including AI, when appropriate.

требования

  • Degree in data engineering, data science, (business) computer science, or a related field, or equivalent practical experience;
  • Hands-on experience with big data technologies in cloud environments such as Amazon Web Services or Google Cloud Platform;
  • Experience building data integration pipelines;
  • Experience with dbt, Airbyte, Airflow, Kafka, Spark, or BigQuery;
  • Experience with relational databases and modern data warehouses;
  • Ability to explore and analyze data using SQL;
  • Experience with BI tools such as Looker or Tableau, including translating data into insights that support decision-making;
  • Working knowledge of containerization tools such as Docker;
  • Foundational understanding of CI/CD practices;
  • Interest in using AI tools and LLM-assisted workflows to improve productivity and data solutions;
  • Curiosity about practical applications of AI in data engineering.

условия

  • Competitive base salary and participation in the company’s incentive programs;
  • Competitive company pension scheme in addition to statutory retirement insurance;
  • Regular team and company events;
  • Access to coaching, learning platforms, and development resources;
  • Monthly transportation allowance;
  • Hybrid work with the option to work abroad for a set number of days per year;
  • Confidential employee assistance and support services for employees and their immediate families;
  • Enhanced parental leave and family-friendly policies;
  • Temporary employment for a 1-year fixed-term contract covering parental leave.

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Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.