across Europe
Middle Data Steward
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
Join our team as a Middle Data Steward and play a key role in managing and optimizing our data. Work closely with stakeholders, ensure data quality, and help shape how our organization manages and protects its data!
Responsibilities
Facilitate collaboration between business and data teams by translating business needs into clear data requirements and ensuring actionable insights are derived from data.
Collect and formalize business and technical requirements for data assets, process automation, and reporting.
Conduct SQL queries (advanced level) to validate data integrity and identify inconsistencies.
Work with data quality incidents and initiate corrective actions.
Ensure compliance with data governance principles, including data ownership, quality, and security.
Standardize and unify business metrics and definitions across the organization.
Work closely with business stakeholders to define business rules and validate their implementation in data sources.
Collaborate with data engineers to handle data-related errors and improve data pipelines.
Ensure compliance with regulatory standards (GDPR, ICO, and others) regarding data privacy and security.
Manage and maintain Data Catalogs to ensure proper metadata documentation, improve data discoverability, and support governance initiatives.
Work in Jira/Confluence for documentation and backlog management.
Requirements
At least 3 years of experience working with data.
Strong SQL skills (writing complex queries, working with any relational databases)
Snowflake knowledge (optional) – understanding of architecture, writing SQL queries, and working with roles, policies and tags.
Experience with BI tools (Power BI, Tableau, Looker, or similar) for data visualization and reporting.
Familiarity with Data Governance frameworks and data management best practices.
Business analysis skills, including stakeholder communication, KPI definition, and data validation.
Problem-solving mindset and ability to work with large datasets.
Proactive mindset with the ability to take initiative in identifying data issues, optimizing processes, and suggesting improvements.
Understanding of Supply Chain business processes (logistics, inventory management, procurement) is a plus.
Knowledge of ETL/ELT processes, data warehouses (DWH), and data lakes is a plus.
Experience in Data Lineage and Data Catalog management (Collibra, Alation, Purview) is a plus.
Snowflake knowledge – understanding of architecture, writing SQL queries, and working with roles, policies, and tags is a plus.
English proficiency at B2/C1 level for communication with international teams.
Perks at work
Competitive salaries based on your professional experience
Meals Allowance
Fast growing international company with stable employment
Annual vacation of 25 working days and 1 additional day off on your birthday
Healthcare Insurance
Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
AUTODOC Corporate Discount (1,080 Euros per annum) to order parts for their own use at special discounted rate
Retail discounts of up to 75% on travel, technology, fashion and much more
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.