across Europe
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
We’re looking for a strong Analytics Engineer to join our Analytics Engineering Team.
Your main responsibility will be to implement and maintain data validation and quality checks for behavioral tracking data across Autodoc tracking platforms
This includes ownership of the monitoring system for data quality, proactive research of issues, and working closely with multiple teams: tracking, data quality, and products to ensure accurate, trustworthy user behavior data.
You will play a key role in building scalable validation frameworks, detecting anomalies, and driving resolution processes in collaboration with technical and business stakeholders
Responsibilities
Design and maintain a data quality monitoring system for behavioral data, including validation layers, alerting mechanisms, and automated checks.
Conduct root-cause analysis and exploratory research on data quality issues across multiple data sources and platforms.
Continuously monitor and respond to anomalies and data integrity issues in near real-time.
Create, document, and escalate issues through clear, actionable tasks to relevant engineering teams.
Collaborate cross-functionally with tracking implementation, analytics engineering, and product teams to resolve problems quickly and prevent them in the future
Modeling data structures specifically designed for data quality monitoring - enabling efficient validation, alerting, and investigation of behavioral tracking issues
Requirements
Advanced SQL skills, as a plus: Snowflake and ClickHouse
Working knowledge of Airflow, Python, and DBT
Experience in data modeling - ability to design scalable and maintainable data structures that support data validation, monitoring systems, and analytical use cases
Strong analytical thinking and problem-solving mindset
Ability to work independently and in a collaborative environment
Experience in analyzing event-based tracking systems (web/app behavior)
Solid understanding of data quality challenges and monitoring tools, such as DBT tests or Great Expectations (a plus)
Experience with Power BI and Grafana for building dashboards and visual monitoring (a plus)
Familiarity with Slack Alert integration and automated alerting systems (a plus)
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.