Data Engineer

Take your career to the next level with Amaris Consulting as a Data Engineer.Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment.We are looking for a hands-on data professional with experience in data engineering, analytics, and Power BI, capable of helping build a modern, scalable, and well-governed data platform.Fluent English is required as part of this role.WHAT WOULD YOU NEED?4+ years of experience as a Data Engineer or similar data-focused role.Strong proficiency with SQL and Databricks SQL.Hands-on experience with Power BI, including Data Modeling, DAX, Power Query, and dashboard creation from scratch.Strong knowledge of ETL/ELT processes and data integration.Experience working with large volumes of data in enterprise environments.Hands-on experience with Databricks and Dataverse.Familiarity with Data Governance, Metadata Management, and Unity Catalog.Understanding of data architecture and analytics best practices.Fluent English (written and spoken).Strong problem-solving skills and the ability to work autonomously in dynamic environments.WHAT WILL YOU BE DOING?Design and maintain scalable data models and data structures.Build and optimize data integration and transformation pipelines.Develop and enhance Power BI dashboards, reports, and semantic models.Support data migration and modernization initiatives using Databricks and Dataverse.Implement data governance, metadata management, and data quality best practices.Support the adoption of Unity Catalog, data lineage, and access management.Collaborate with business and technical stakeholders to deliver trusted and actionable data solutions.Contribute to the evolution of a modern data platform supporting reporting, analytics, and future AI initiatives.WHY US?Join our dynamic team of talented people and discover a world full of growth and opportunity.Here’s what we offer: Rapid growth through a personalised career path and salary assessment.70% of our senior leaders started in entry-level positions.Improve your skills through our Technology Academy catalogue, Udemy platform, language classes, webinars and workshops.Take control of your training with a personal annual budget and company-paid certifications.Enjoy flexible policies, hybrid work model (3 days onsite in Barcelona), and excellent social benefits such as transport and restaurant tickets, childcare support and private health insurance.Benefit from our WeCare programme, which supports employees in critical situations.xqysrnh Unlock your full potential, both professionally and personally.

Take your career to the next level with Amaris Consulting as a Data Engineer.Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment.We are looking for a hands-on data professional with experience in data engineering, analytics, and Power BI, capable of helping build a modern, scalable, and well-governed data platform.Fluent English is required as part of this role.WHAT WOULD YOU NEED? 4+ years of experience as a Data Engineer or similar data-focused role. Strong proficiency with SQL and Databricks SQL.Hands-on experience with Power BI, including Data Modeling, DAX, Power Query, and dashboard creation from scratch. Strong knowledge of ETL/ELT processes and data integration. Experience working with large volumes of data in enterprise environments. Hands-on experience with Databricks and Dataverse. Familiarity with Data Governance, Metadata Management, and Unity Catalog. Understanding of data architecture and analytics best practices. Fluent English (written and spoken). Strong problem-solving skills and the ability to work autonomously in dynamic environments.WHAT WILL YOU BE DOING? Design and maintain scalable data models and data structures. Build and optimize data integration and transformation pipelines.