Por favor, lea detenidamente la siguiente descripción del puesto para asegurarse de que encaja con el perfil antes de enviar su solicitud.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 opportunityWe are looking for aData Engineerto join an international German client in the automotive sector. This role is ideal for someone with strong experience inAzure-based data environments, hands-on expertise inSpark, and a solid background working with distributed data processing and large-scale datasets.Key ResponsibilitiesDesign, develop, and maintain robust data pipelines usingAzure Data Factoryand related orchestration tools to ingest, transform, and process data from multiple sources intoAzure Data Lakeand other target systems.Work withDatabricksandSparkenvironments 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.RequirementsBachelor's degree in Computer Science, Engineering, or a related field.Proven experience working inAzure-based data environments .Strong hands-on experience withSparkindistributed processing environments .Experience working withlarge volumes of dataand building scalable data solutions.Solid experience withDatabricks ,Azure Data Lake ,SQL, andPython .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 HaveExperience withScala, especially inSpark-based environments .Experience withAzure Data Factoryor other orchestration tools.Certification inAzure Data Engineeringor a related area.Knowledge ofAgile methodologiesand experience working in agile teams.Experience withCI/CD pipelinesand version control workflows, especiallyGitHub .Location:100% RemoteSchedule:40h/week. Flexible, with reduced hours on FridaysLanguage:English (C1), Spanish (B2)Want to know more? xhfqzwm 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.