⚡ Empowering people. Unlocking innovation.With 1,000+ professionals and over a decade of experience, we’ve built an environment where talent is trusted, supported and continuously challenged to grow.🤝 People-first culture built on trust and real proximity.📉 Stable environment with turnover clearly below industry average.💻 International, high-impact projects powered by modern tech stacks.📚 €1,200 annual training budget per employee.🕓 Real flexibility, not just a promise.💬 Continuous feedback culture with monthly follow-ups and annual 360º reviews.🏥 Private health insurance, flexible compensation and Wellhub.💡 Active tech communities where knowledge is shared and innovation evolves.🎉 A team that delivers and celebrates together.Ready to grow with us? Take a look at this opportunity 👇We are looking for a Data Engineer to join an international German client in the automotive sector. This role is ideal for someone with strong experience in Azure-based data environments, hands-on expertise in Spark, and a solid background working with distributed data processing and large-scale datasets.Key Responsibilities- Design, develop, and maintain robust data pipelines using Azure Data Factory and related orchestration tools to ingest, transform, and process data from multiple sources into Azure Data Lake and other target systems.- Work with Databricks and Spark environments for distributed data processing, transformation, and analytics.- Collaborate with cross-functional teams to translate business and technical requirements into scalable data solutions.- Optimize and troubleshoot existing data workflows to improve performance, reliability, and scalability.- Contribute to data documentation, governance, and good engineering practices across the platform.- Stay up to date with Azure data engineering best practices and contribute to continuous improvement initiatives.- Participate actively in code reviews, documentation, and knowledge sharing within the team.Requirements- Bachelor’s degree in Computer Science, Engineering, or a related field.- Proven experience working in Azure-based data environments.- Strong hands-on experience with Spark in distributed processing environments.- Experience working with large volumes of data and building scalable data solutions.- Solid experience with Databricks, Azure Data Lake, SQL, and Python.- Strong problem-solving skills and attention to detail.- Ability to work both independently and collaboratively in a dynamic environment.- Strong communication and interpersonal skills.Nice to Have- Experience with Scala, especially in Spark-based environments.- Experience with Azure Data Factory or other orchestration tools.- Certification in Azure Data Engineering or a related area.- Knowledge of Agile methodologies and experience working in agile teams.- Experience with CI/CD pipelines and version control workflows, especially GitHub.Location: 100% RemoteSchedule: 40h/week. Flexible, with reduced hours on FridaysLanguage: English (C1), Spanish (B2)Want to know more? Click here 🖱️ and find out!See what people say about us 🕵️ Glassdoor ReviewsFeel free to send us your profile, we are excited to meet you! 💙The employee will adhere to information security policies:-Will have access to confidential information related to Capitole and the project they are working on.-Must comply with the security policies and internal policies of the company and the client.-Must sign an NDA.