A driven team
across Europe
View All jobs in Technology

Middle Data Steward

Apply

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

  • Knowledge of business domain zone (Preferably Supply Chain Management);

  • Writing SQL scripts (advanced skill) to check the correct operation of data sources;

  • Control of incidents related to data quality;

  • Ensuring compliance with the rules for the collection, storage and use of data;

  • Standardization, Unification of business metrics, terms in the company;

  • Interaction with business experts to establish business rules and check their reflection in data sources;

  • Interaction with a team of data engineers - Error handling control;

  • Ensuring confidentiality and privacy of data;

  • Proficiency in English at the level of B2 "Above Intermediate" / C1 "Advanced";

  • Work in Jira / Confluence and writing your results

Requirements

  • 3 year of experience in data and product analytics;

  • Knowledge of the functional area of ​​business (Supply Chain Management, Purchasing, Logistics), experience as a data analyst;

  • Excellent communication skills

  • Strong analytical skills with the ability to analyze data and identify patterns, deviations, data problem solving

  • Ability to work with large amounts of data, business information

  • Data Analyst (BI) skills: understanding of BI (advanced skill), data analysis, visual analysis, knowledge of SQL (advanced skill), deep understanding of all the capabilities of BI tools

  • Fundamentals of designing and working with corporate storages and data lakes (Data WareHouse, Data Lake), as well as ETL/ELT processes

  • Business analysis methods and techniques for identifying and formalizing data requirements;

  • Ability to work with large amounts of data, business information;

  • Ability to develop technical documentation;

  • Understanding data source maintenance processes.


Nice to have

  • Experience with DataBase Clickhouse, SnowFlake, e-commerce or automotive domain

Perks at work

  • Competitive salaries based on your professional experience

  • Meals Allowance

  • Fast growing international company with stable employment

  • Annual vacation of 22 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.

AUTODOC does not accept unsolicited CVs from recruiters or employment agencies in response to the AUTODOC Careers page or an AUTODOC social media post. Any legal offering in this regard as well as any Terms and Conditions of recruiters or employment agencies are expressly rejected by AUTODOC. AUTODOC will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. AUTODOC explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency.

Job Info

Location Lisbon
Contract Full time
Job category Data Management & Analytics
Experience level Individual Contributor
Department Technology