Hybrid Data Engineer Data Engineer with verification
AUTODOC · Lisbon, Lisbon, Portugal (On-site) · nan, · Hybrid
About the job
Company Description
AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!
Job Description
The role of the data engineer on the user profile project is to organize the collection and storage of user data (or connections with them) in one place. This includes both the construction of classic ETL and working with real-time data, non-relational databases and data modeling.
Responsibilities
AUTODOC is the largest and fastest growing auto parts ecommerce platform in Europe.
Present across 27 countries with around 5,000 employees, AUTODOC generated revenue of over €1.3 billion in 2023, supplying more than 7.4 million active customers with its 5.8 million vehicle parts and accessories for car, truck, and motorcycle brands.
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!
Job Description
The role of the data engineer on the user profile project is to organize the collection and storage of user data (or connections with them) in one place. This includes both the construction of classic ETL and working with real-time data, non-relational databases and data modeling.
Responsibilities
- Collecting data from different sources(DB, Cloud, files, etc.)
- Building data pipelines, ETL processes
- Setting up almost real-time data streaming processes
- Developing data marts
- Validating data
- Strong programming skills on Python
- Expert knowledge of SQL
- Hands-on experience with Airflow
- Hands-on experience with Kafka (Kafka Streams)
- SnowFlake
- DBT
- Experience with relational and non-relational dbs (preferably MySQL, MongoDB)
- Knowledge of the data storage principles (Data Lake, DWH)
- Hands-on experience with graph databases (preferably Neo4j)
- Experience with GCP, Docker, Git
- Experience with Grafana or another monitoring tool
- Experience with Clickhouse
- 2+ year of experience as a Data Engineer
- Analytical skills
- Intermediate+ English
- Competitive salaries based on your professional experience
- Fast growing international company with stable employment
- Annual vacation and 1 additional day off on your birthday
- Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
- 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 - Flexible working hours and hybrid work
