Analytics Engineer

<h1><b>Company Description</b></h1><p></p>AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.<br>Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!<p></p><p></p><p></p><h1><b>Job Description</b></h1><p></p><p>Play a key role in building and maintaining Data products that empower business teams to make data-driven decisions.&nbsp;</p><div><p><span>Collaborate with various business functions and Data teams to ensure the smooth development, governance, and lifecycle management of Data products that are reliable, efficient, and impactful.</span></p><p></p><p><b><b>Responsibilities</b></b></p><div><ul><li><p>Build and maintain Data Products<span> aligned with Data Mesh principles, ensuring they are scalable, reliable, and meet the needs of business teams.</span></p></li><li><p><span>Collaborate with </span>business stakeholders and other data functions<span> to manage data product scope, define roadmaps, and drive the lifecycle from concept to delivery.</span></p></li><li><p><span>Ensure Data Products are well integrated into the </span>KPI framework<span>, maintaining high standards for governance, data quality, and reliability.</span></p></li><li><p><span>Support business teams by integrating </span>manual data sources<span>, automating business processes, and developing data solutions that streamline operations.</span></p></li><li><p>Democratize Data Platform capabilities<span> by providing self-service tools, supporting power users, and delivering training to ensure wide adoption across the business.</span></p></li><li><p><span>Partner with </span>business units to identify opportunities for new Data Products<span>, translating business requirements into scalable, impactful data solutions.</span></p></li><li><p><span>Work closely with </span>Data Analysts and BI Developers<span> to facilitate best practices in multi-source data consumption and ensure seamless integration and usage across the platform.</span></p></li><li><p><span>Troubleshoot, optimize, and enhance existing data products to ensure maximum performance, scalability, and alignment with business goals.</span></p></li></ul><p></p><p><b><b>Job Requirements</b><span> </span></b></p><div><ul><li><p><b><b>3+ years of experience</b><span> as an Analytics Engineer, Data Engineer, Data Analyst / BI Developer </span></b><span>or related role, with a strong track record of building and maintaining data products.</span></p></li><li><p><span>Experience with </span><b>Data Mesh principles</b><span> and a solid understanding of how to build decentralized, scalable data products aligned to these principles.</span></p></li><li><p><span>Expert level proficiency in </span><b>SQL<span>, </span>Python<span>, and experience with data modeling, ETL processes, and data pipeline development.</span></b></p></li><li><p>Experience working with BI tools<span> (e.g., Tableau, Power BI) and an understanding of how to structure data for effective consumption by business teams.</span></p></li><li><p><span>Strong understanding of </span>data governance<span>, including ensuring data products meet quality, reliability, and compliance standards.</span></p></li><li><p><span>Experience working with </span>manual data sources<span> and the ability to automate data flows and integrate disparate sources into seamless, reliable data products.</span></p></li><li><p><span>Ability to collaborate effectively across teams and work in a </span>cross-functional environment<span> with business, data analysts, and other stakeholders.</span></p></li><li><p>Fluent in English<span> (C1 level or equivalent), with excellent communication skills to support both technical and non-technical audiences.</span></p></li><li><p>STEM background<span> or equivalent practical experience in data engineering, analytics, or a related field.</span></p></li></ul></div></div><p></p></div><p></p><p></p><p></p><h1><b><span>What do we offer?</span></b></h1><h1></h1><ul><li><p>Annual vacation of 25 working days and 1 additional day off on your birthday</p></li><li><p>Meals Allowance (8 euros per working day)</p></li><li><p>Healthcare Insurance&nbsp;</p></li><li><p>AUTODOC Corporate Discount (1,080 Euros per annum)&nbsp;</p></li></ul><ul><li><p>Learning &amp; Development (over 650 courses on soft and hard skills on our e-learning platform)&nbsp;</p></li></ul><ul><li><p>Free English and German language classes (after probation period<span>)</span></p></li><li><p>Flexible working hours and hybrid work</p></li></ul><p></p><p></p><p></p><p><b>Join us today and let’s create a success story together!</b></p>