(Senior) Analytics Engineer (m/f/d)

<p><strong>Be our next roadsurfer! </strong></p><p>We’re looking for a (Senior) Analytics Engineer (m/f/d) to help build a reliable, scalable data foundation that powers decisions across our organization. You’ll work at the intersection of data engineering and analytics, transforming raw data into clean, modeled datasets that support Marketing, Product, Operations, and beyond.</p><p></p><p><strong>WHY ROADSURFER?</strong></p><ul><li><p><strong>TEAM SPIRIT &amp; TEAM EVENTS:</strong> Look forward to a collegial atmosphere with flat hierarchies, lots of fun and great team spirit, as well as regular team events such as joint sports sessions, pizza &amp; beer evenings, etc.</p></li><li><p><strong>FLEX WORK &amp; WORKATION:</strong> You are flexible in terms of working hours. Our Flex Work Policy enables you to switch between office days and home office days and work from abroad in Europe for one month per year</p></li><li><p><strong>PERSONAL DEVELOPMENT:</strong> We support your personal and professional development through an individual Growth Plan and our Inhouse Academy</p></li><li><p><strong>CAMPER BUDGET:</strong> You get an annual camper budget to experience the #happyroadsurfing lifestyle for yourself</p></li><li><p><strong>DISCOUNTS</strong>: Use our Corporate Benefits Platform, the Travel Industry Card and Family &amp; Friends Discounts</p></li></ul><p></p><p><strong>OUR DATA TEAM</strong></p><ul><li><p>Our strategic leader, who is responsible for aligning the company's strategies with our team's priorities through her knowledge and vision of the business.</p></li><li><p>The technical data leader, responsible for sizing the team, defining work dynamics to improve deliveries, looking after the career development of team members and defining data project roadmaps.</p></li><li><p>Data engineers, who help us integrate any new source into our Data Lake and structure our Data Warehouse.</p></li><li><p>Analytics engineers, who master our dashboards, grow our Data Warehouse with data quality, applying all the business logic to our raw data.</p></li></ul><p></p><p><strong>THE ROLE - YOUR PASSION</strong></p><p><strong>Developing and Maintaining Data Pipelines:</strong></p><ul><li><p>Design, implement, and optimize data pipelines using tools such as Fivetran and DBT.</p></li><li><p>Ensure data quality and integrity throughout the ETL process.</p></li><li><p>Develop and maintain scalable data infrastructure on Google Cloud BigQuery</p></li><li><p>Implement and maintain CI/CD practices for data workflows to ensure reliable and automated deployment of pipeline changes.</p></li></ul><p><strong>Datawarehouse (DWH) Integration and Management:</strong></p><ul><li><p>Lead the integration of data from various sources into a DWH and reverse ETL pipelines.</p></li><li><p>Manage and optimize the flow of customer data across systems to ensure efficient data processing and storage.</p></li><li><p>Develop strategies for leveraging the DWH to create a unified and actionable customer view.</p></li></ul><p><strong>Collaboration and Stakeholder Engagement:</strong></p><ul><li><p>Work closely with business stakeholders to understand their data needs and translate them into technical requirements.</p></li><li><p>Provide actionable insights and recommendations through clear and concise communication of complex data engineering results.</p></li><li><p>Guide stakeholders in implementing data-driven strategies and solutions.</p></li></ul><p><strong>Supporting Team Members:</strong></p><ul><li><p>Conduct peer reviews of code and data engineering approaches to ensure best practices and knowledge sharing.</p></li><li><p>Mentor junior data engineers and analysts, providing guidance on technical challenges and career development.</p></li></ul><p><strong>Fostering a Data-Driven Culture:</strong></p><ul><li><p>Develop and deliver training sessions on data engineering topics, tools, and best practices to enhance data literacy across the organization.</p></li><li><p>Promote the use of modern data engineering tools and methodologies in decision-making processes through workshops, seminars, and other educational activities.lf-sufficient in getting the answer to their business questions by themselves</p></li></ul><p></p><p><strong>WHAT YOU NEED TO SURF THE WAVE WITH US</strong></p><p><strong>Educational Background:</strong></p><ul><li><p>You have successfully completed a bachelor’s degree, preferably in engineering, physics, informatics, computer science, or other STEM-related areas.</p></li></ul><p><strong>Professional Experience:</strong></p><ul><li><p>You have several years of relevant experience as a data engineer, with a strong focus on building and maintaining data pipelines and infrastructure.</p></li></ul><p><strong>Technical Skills:</strong></p><ul><li><p>You have advanced proficiency in SQL for data extraction and manipulation</p></li><li><p>You proficient using Data Build Tool (DBT), having knowledge of testing, jinja, and data modelling