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Data Engineer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
Portugal

Offer summary

Qualifications:

Strong programming skills in Python and SQL, Hands-on experience with Airflow, Kafka, SnowFlake, DBT.

Key responsabilities:

  • Collect data from various sources
  • Build data pipelines, ETL processes
  • Setup real-time data streaming processes
  • Develop data marts
  • Validate data
AUTODOC logo
AUTODOC Information Technology & Services Large https://autodoc.group/
5001 - 10000 Employees
About AUTODOC
We make mobility easy & sustainable. AUTODOC was founded in 2008 in Berlin and we are now a leading E-commerce for automotive spare parts 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-ushttps://autodoc.group/en/facts-and-figureshttps://autodoc.group/en/news-roomhttps://autodoc.group/en/careerLegal notice: https://bit.ly/3LHWIg1
See more AUTODOC offers

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!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

DBaseDocker (Software)MySQLMongoDBNeo4jGrafanaClickOnceGit (Version Control System)Google Cloud Platform (GCP)Snowflake (Data Warehouse)Python (Programming Language)Apache AirflowSQL (Programming Language)Apache Kafka
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