Central Analytics - Data Engineering Intern

  • Sant Joan Despí
  • Ecolab
Ecolab is seeking a Data Engineer Intern to work on our digital infrastructure solutions for Supply Chain. Your curious mind will enable the creation of innovative solutions and delivering speed of execution to thrill our stakeholders. Your efforts will launch quickly and have immediate and obvious impact on those around you. To be successful in this role, you must have great interest in data sets, excellent analytical skills, comfort dealing with complex business problems and the desire and ability to get things done in a fast-paced environment. What’s in it For You: The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environmentsThe ability to make an impact and shape your career with a company that is passionate about growthThe support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best Key Responsibilities: Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with system owners to produce the required dataAnalyze and integrate different sources of data into clear business conclusions and enable the stakeholder teams to translate these into recommended business actionsResponsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristicsResponsible for delivering innovative front-end applications that drive decision-making to our stakeholdersDevelop the back-end data structures that enable the delivery of reports to key stakeholdersGovern the databases, processes and dashboards related to inventory and service Minimum Qualifications: Bachelor's degree in Data Engineering, Big Data Analytics, Computer Science, Statistics or equivalent practical experience.High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.Work well within a team in a multinational environment, ready to build good relationships and communicate with stakeholders at all levels of organizationHaving a self-developer’s mind set, and willingness to constantly learnAbility to understand and translate business requirements into data and technical requirements.Fluent in English Preferred Qualifications: Experience analyzing data sets using VBA, SQL, Python, R or other quantitative and statistical modelling technologies and tools or curiosity to learn quicklyExperience in Azure Data factory and Azure portal or curiosity to learn quicklySome development experience in a scripting language (Python, Perl, etc.) or curiosity to learn quicklyExperience in data modeling; understanding of Data Architecture Layers Multi-source management, enrichment; Data CleansingExperience in an analytical or data engineering/infrastructure role.Experience managing and querying datasets using SQL or other languages.Experience working with SAP.Experience in building and maintaining data infrastructures