.Title: Data EngineerType: Full-timeLocation: ValenciaStart date: June 2024About usAt Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.We're on a mission to pioneer a bright future and build future-proof and ethical organizations. Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we're all in awe of – our Visiumees.Ready to become one?RoleAs a Senior Data Engineer, you will work with various stakeholders to provide business leaders with valuable insights from large and complex datasets. Starting from raw data, you will help build robust systems to make this data usable and accessible.As a Senior Data Engineer, you will be responsible for:Assess and understand client's data landscape and assess data qualityWork closely with business and IT stakeholders to understand business requirementsParticipating in technical sales activitiesWork with high volume of heterogeneous data with distributed systemsDesign, develop, and maintain scalable and efficient data assets, including data pipelines, data lakes, data warehouses, and ETL processes based on well-known data platformsBuild and manage data infrastructure, including data storage, processing, and accessImplement data models and schema designs to support data analysis and reporting needsDevelop and maintain data quality and data governance frameworksCreate data visualizations and reports to communicate insights to stakeholdersStay up to date with state-of-the-art data processing and analysis technologies.Troubleshoot and debug data-related issuesContribute to an exciting environment with a challenging teamRequirementsWe are looking for3 - 5 years of experience building data assets and pipelines using platforms like Databricks and Snowflake.Proficient in cloud technologies (Azure, AWS) and related data services.Skilled in data visualization tools such as Tableau, PowerBI, and Quicksight.Experienced with distributed data processing frameworks like Spark.Knowledgeable in designing and maintaining production-level data warehouses and provisioning data lakes.Familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns.Possesses a growth mindset, excels in problem-solving, andFluent communication both in English