Who we are Conclusion Lifecycle is the Managed Services brand of Conclusion Iberia, focused on delivering long-term, scalable IT services across the full lifecycle, from build to run. It brings together the Managed Services operation that was previously part of Neotalent Conclusion, with a clearer focus on lifecycle ownership, operational excellence, and long-term partnerships.Conclusion Lifecycle also acts as the incubator for new lifecycle-based service offerings within Conclusion Iberia, supporting clients with sustainable, resilient, and continuously evolving digital solutions.Find out more about us atwww.conclusionlifecycle.com .Role Overview We are looking for a Data Engineerto integrate one of our Nearshore Teams working remotely for international clients accross The Netherlands, Germany and other European countries. In this role, you will be involved end-to-end in the design and delivery of modern data solutions, translating complex business challenges into scalable, cloud-based data architectures. You will work closely with stakeholders, analytics engineers, and data scientists to ensure data is reliable, accessible, and impactful across the organisation.What you will do Design, build, and maintain reliable and scalable data pipelines on cloud platforms such as Azure, AWS, or GCP, predominantly using Databricks; Develop and optimise batch and streaming data solutions that process large volumes of data efficiently and accurately; Translate functional and technical requirements into well-structured data models, including 3NF, dimensional, and Data Vault models; Work with modern data platforms such as Databricks and Snowflake to deliver analytics-ready datasets; Ensure data quality, consistency, and availability through validation, monitoring, and robust error-handling mechanisms; Apply DevOps and CI/CD practices to automate testing, deployment, and release of data solutions; Collaborate closely with business stakeholders, analytics engineers, and data scientists to support reporting, analytics, and AI use cases.What you are like Proficient in data engineering concepts and experienced in building cloud-based data pipelines; Strong in SQL and/or Python, with a solid understanding of data processing and transformation; Comfortable designing and working with data models such as 3NF, dimensional, and Data Vault; Experienced with modern data platforms such as Databricks and/or Snowflake; Familiar with DevOps and CI/CD-driven development practices; Knowledgeable about at least one major cloud provider (Azure, AWS, or GCP); Able to bridge the gap between business requirements and technical solutions; Clear and effective communicator, with English proficiency at B2 level or above.Why join us Work on challenging projects for big clients Learn more about emerging technologies Possibility of working remotely Design your career plan Access to continuous training and certifications Evolve through our internal mobility programme ... and much more!