Senior Data Engineer (all genders)

<h3>About Resourcify<br/> </h3><p> <br/>At Resourcify, we’re building Europe’s leading digital platform for waste management and circular economy. Our mission is to make recycling simple, transparent, and efficient, helping companies and municipalities reduce their environmental footprint.</p><p>Our Data &amp; Insights team plays a central role in making this vision reality: we power insights, analytics, and product features with a robust and scalable data platform. We’re now looking for a Senior Data Engineer to join us and help take our data infrastructure and pipelines to the next level. <br/><br/></p><h3>Your role  <br/></h3><p> As a Senior Data Engineer, you will:</p><ul> <li>Design, build, and maintain scalable ELT pipelines in our modern data stack (Cloud Composer, Airflow, dbt, BigQuery, GitLab). You bring industry experience working with data infrastructure, platform and services - we work with Google Cloud so experience with that is a plus, but modern cloud-based stack experience is valuable too</li> <li>Develop and maintain robust data models that power analytics, reporting, and product features, ensuring they follow best practices for performance and maintainability.</li> <li>Manage and optimise data infrastructure, including Cloud Composer environments and related GCP resources, in close collaboration with our infrastructure team.</li> <li>Implement orchestration, testing, and monitoring to ensure data quality, reliability, and traceability across the data warehouse. </li> <li>Troubleshoot pipeline or environment errors quickly and effectively.</li> <li>Collaborate closely with backend and frontend engineers (our backend is mostly in Java) to ensure seamless integration of data models and pipelines into the product.</li> <li>Contribute to architectural decision-making, e.g. by writing and reviewing RFCs, applying data engineering design patterns, and following architectural best practices.</li> <li>Promote documentation and knowledge sharing, ensuring our data systems and processes are transparent and accessible across the company.</li> <li>Mentor and support other engineers, fostering a culture of growth and continuous improvement within the team.</li> </ul><p></p><ul> </ul><ul> </ul><h3><br/></h3><h3>What we're looking for<br/> </h3><p><strong>Must-have skills &amp; experience</strong></p><ul> <li>5+ years of experience in data engineering or similar roles.</li> <li>Strong proficiency in Python and SQL.</li> <li>Hands-on experience with Airflow/Cloud Composer, dbt, and BigQuery (or similar modern data warehouse solutions and cloud-based infrastructure).</li> <li>Solid understanding of data modeling, orchestration, testing, and data engineering best practices.</li> <li>Experience building scalable, reliable data pipelines in production environments.</li> <li>Strong collaboration and communication skills, with the ability to work closely with engineers, analysts/scientists, and product managers.</li> <li>Experience mentoring, conducting code reviews, and promoting team-wide engineering best practices, preferably in a cross-functional team context.</li> <li>Experience contributing to architecture and design decisions in data platforms.</li> </ul><strong>Nice-to-have skills<br/></strong><ul> <li>Experience with Java or backend development.</li> <li>Familiarity with infrastructure-as-code (Terraform, etc.) and GCP resource management.</li> <li>Experience implementing AI/ML pipelines, ideally with exposure to MLOps/LLMOps practices.</li> <li>Background in integrating external APIs into data pipelines.</li> </ul><strong>Mindset &amp; values<br/></strong><ul> <li>Flexible and curious: you enjoy a mix of analytics engineering, infrastructure work, and backend - and are willing to learn new skills and step out of your comfort zone.</li> <li>A team player who thrives on proactive ownership of topics and driving improvements.</li> <li>Comfortable giving and receiving constructive feedback in a compassionate, collaborative way.</li> <li>Committed to high-quality, scalable data infrastructure that directly impacts products and customers.</li> <li>Passionate about working with data to develop and evaluate data-driven products, striking a healthy balance between principled and pragmatic approaches to solve consumer use cases.</li> <li>Good communication skills with both technical and non-technical people (e.g. designers and product managers).</li> <li>Values teamwork, shares gained knowledge with teammates and brainstorm new ideas</li> </ul><p> </p><h3>How we appreciate and empower Resourcians: <br/><br/> </h3><ul> <li>We offer you a <strong>great working environment:</strong> Be part of a fast growing company with fantastic team members. </li> <li>We love <strong>flexible working:</strong> Your times are flexible as you’ll be measured by your success, not by the number of hours you clock in.</li> <li>We provide you with <strong>extra time to recharge:</strong> With our flexible vacacion policy you’ll have