We make mobility easy & sustainable. AUTODOC was founded in 2008 in Berlin and we are now a leading online retailer for vehicle spare parts and accessories. in Europe. We are a growing profitable technology company active in 27 countries with a highly diverse team of over 5 000 people from 50 countries where things are going fast forward! We are transforming and looking for innovative, tech-driven, and agile talents to join us across Europe. It is important for us that our people feel a sense of impact, purpose and belonging within our organization - whether they work in an office space, in one of our warehouses or remotely. With our headquarters in Berlin- Germany, we also have several offices across Europe. Catch the ride! https://autodoc.group/en/about-us https://autodoc.group/en/facts-and-figures https://autodoc.group/en/news-room https://autodoc.group/en/career Legal notice: https://bit.ly/3LHWIg1

Job description

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

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

Qualifications (Essential)

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)

Qualifications (Desired)

Experience with GCP, Docker, Git
Experience with Grafana or another monitoring tool
Experience with Clickhouse

Experience

2+ year of experience as a Data Engineer
Analytical skills
Intermediate+ English

What do we offer?

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

Join us today and let’s create a success story together!

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