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Data Engineer

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Where your expertise is needed

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!

What we’re looking for

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

Perks at work

  • 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

We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.

AUTODOC does not accept unsolicited CVs from recruiters or employment agencies in response to the AUTODOC Careers page or an AUTODOC social media post. Any legal offering in this regard as well as any Terms and Conditions of recruiters or employment agencies are expressly rejected by AUTODOC. AUTODOC will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. AUTODOC explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency.

Job Info

Location Lisbon
Contract Full time
Job category Data Management & Analytics
Experience level Individual Contributor
Department Technology