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

You will play a foundational role in our data team, supporting basic concepts and procedures to contribute to data-driven decision-making processes. Under supervision, you will assist in developing competence by executing structured work assignments, utilizing existing procedures to address routine problems.

Responsibilities:

Assist in designing and implementing data pipelines to support ETL and ELT processes, utilizing Python, SQL, and cloud tools.
Support and manage data lakes and warehouses to ensure accessibility, reliability, and optimization for analytics purposes.
Execute basic transformations using tools like dbt and contribute to the creation of reports in BI platforms such as Apache Superset, PowerBI.
Follow software engineering best practices including version control, code reviews, and continuous integration within the analytics pipelines.
Collaborate with senior team members, data analysts, and business stakeholders to comprehend requirements and contribute to the delivery of data solutions.
Act as business partner to the Category Management, Pricing and Assortment teams and help them scope, plan, execute and structure short-term and strategic data analysis needs.

Support the data analysts in the team in running, verifying and assuring data for the Category Management, Pricing and Assortment teams, and act as a full-fledged temporary replacement for data analysts in times of peak demand or absences.

Requirements:

1+ years of experience in data engineering or analytics engineering, with a proven track record of building and managing complex data pipelines
Knowledge of Python, SQL, and cloud technologies
Experience with data transformation tools (e.g., dbt) and BI tools (e.g., Apache Superset).
Solid understanding of data warehousing concepts and experience with data lakes and ETL/ELT processes.
Familiarity with version control systems (e.g., Git).
Advanced Microsoft user (Power Query, Power Pivot, Power View, DAX, VBA)
Experience using large language or machine learning models to drive team productivity is a plus

Soft skills

Always starts with the customer and works backwards, striving to improve their experience with Autodoc.
Demonstrates a relentless pursuit of knowledge and excellence, staying abreast of industry trends and new technologies.
Consistently delivers high-quality work, paying meticulous attention to detail and ensuring excellence in every aspect of their role.
Builds and maintains trust with colleagues and stakeholders through transparent communication and delivering on promises.
Has a keen eye for detail, analyzing data to derive insights and make informed decisions.

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
Referral Program with attractive incentives
Flexible working hours and hybrid work