Offer summary

Qualifications:

4+ years of experience as a Data Engineer, Strong programming skills in Python and expert knowledge of SQL, Hands-on experience with Airflow and data warehousing solutions like Snowflake, Fluent in English with analytical skills and knowledge of data storage principles..

Key responsibilities:

Constructing data pipelines and ETL processes using tools like Airflow, Python, and SQL.

Developing and maintaining data marts while ensuring data accuracy and integrity.

Migrating data and pipelines from Clickhouse to Snowflake and optimizing SQL queries.

Monitoring and troubleshooting data pipelines to maintain reliability and performance standards.

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

Responsibilities

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

4+ year of experience as a Data Engineer
Analytical skills
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
Knowledge of the data storage principles (Data Lake, DWH)
Fluent English

Nice to have

Experience with GCP, Docker, Git
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)

What do we offer?

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
Fast growing international company with stable employment