Analytics Engineer

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

Join us today and let’s create a success story together!