across Europe
Senior Analytics Engineer
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
Responsibilities:
Setting up ETL to automate data collection for reporting
Create and optimize data models to support data analysis and reporting needs
Set up monitoring to detect and alert on data anomalies
Manage and support data infrastructure and frameworks (Power BI, self-service tools)
Helping data analysts to create and optimize complex analytics solutions and reports.
Maintain documentation of data tools, pipelines, and models
Requirements:
4+ years of experience working in data analytics or analytics engineering field.
Proficient in Python and SQL.
Experience with data warehousing technologies like Snowflake, BigQuer, Clickhouse, etc.
Proficiency in designing and managing ETL.
Experience with tools like Power BI, Tableau, etc.
Experience in data infrastructure support and monitoring.
Familiarity with data modeling and database design
Ability to effectively communicate technical concepts with technical and non-technical users.
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
Referral Program with attractive incentives
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.