AUTODOC
AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.
e-commerce • online retail • automotive spare parts e-commerce • internet • online
Data Engineer
February 21
AUTODOC
AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.
e-commerce • online retail • automotive spare parts e-commerce • internet • online
📋 Description
• Constructing data pipelines and ETL processes, utilizing tools such as Airflow, Python, SQL, DBT, third-party services, GCP. • Developing and maintaining data marts. • Data validation to ensure accuracy and integrity. • Data and pipelines migration from Clickhouse to Snowflake. • SQL query optimization for enhanced performance. • Monitoring and troubleshooting data pipelines to uphold reliability and performance standards.
🎯 Requirements
• 5+ year of experience as a Data Engineer • Strong programming skills on Python • Expert knowledge of SQL • Hands-on experience with Airflow • Experience with DWH such as Snowflake or similar • Experience with other relational and non-relational dbs (preferably MySQL, MongoDB) • DBT • Experience with GCP, Docker, Git • Knowledge of the data storage principles (Data Lake, DWH) • Analytical skills • Fluent English • Nice to have • Experience with Grafana or another monitoring tool • Experience with Clickhouse • Hands-on experience with Kafka (Kafka Streams) • Hands-on experience with graph databases (preferably Neo4j)
🏖️ Benefits
• Competitive salaries based on your professional experience • Annual vacation of 25 working days and 1 additional day off on your birthday • Meals Allowance • Healthcare Insurance • Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues. • AUTODOC Corporate Discount • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching • Free English and German language classes • Referral Program with attractive incentives • Flexible working hours and hybrid work
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