Data Engineer ll

Do you dare to lead the digital transformation to create a more sustainable world? ð³At SchneiderElectric, we are the leading digital partner in sustainability and efficiency for businesses, communities, and individuals. Our goal is for all people to be able to make the most of our energy and resources through the integration of processes, software, Big Data, and energy technologies that enable integrated management of buildings, industries, and cities. We are present in over 110 countries with a diverse and disruptive team of over 135,000 people. If you are seeking an opportunity to propel your career and challenge your creativity, we want to meet youSecure Power is accelerating the transition from its legacy analytics and data ecosystem, built on SQL, Alteryx, and internally managed transformation layers, to Intel DS Next (IDS Next), Schneider Electric's next-generation enterprise data platform and strategic cloud data lake. The objective is to progressively migrate existing curated datasets, transformation processes, and analytical assets from the current environment into this new enterprise data lake while maintaining continuity for reporting and analytics solutions. This role will play a key part in helping Secure Power adopt IDS Next, modernize its data architecture, and define how future business-ready datasets will be built and managed within the new platform. Main Missions The successful candidate will support the migration of Secure Power's existing data assets and transformation logic into Intel DS Next, Schneider Electric's enterprise data lake and analytics platform.  This includes assessing current SQL and Alteryx-based workflows, rebuilding and optimizing data transformations, designing scalable data pipelines, validating data quality, and supporting the transition of critical analytical datasets into the IDS Next environment.  The role will work closely with business stakeholders, data engineers, and platform teams to understand requirements, leverage existing enterprise datasets when appropriate, reduce duplicate engineering effort, and deliver trusted data assets that support business decision-making.  The individual will contribute both to the delivery of migration activities and to shaping the future Secure Power analytical layer on IDS Next.  The ideal candidate will have:  Background: Degree in Business Information Systems, Business Analytics or related area of study 3 to 5 Years experience using SQL, Alteryx, Tableau or similar tools Technical

Skills:
Strong SQL expertise – Able to develop, optimize, troubleshoot, and maintain complex data transformations and data pipelines.  Experience with Alteryx or similar ETL tools – Comfortable building and maintaining repeatable data preparation and transformation workflows.  Data engineering fundamentals – Strong understanding of data modeling, relational databases, data integration, testing, monitoring, and data quality practices.  Analytics experience – Able to understand business requirements and translate them into scalable technical solutions that support reporting and decision-making.  Cloud and AWS exposure – Knowledge of AWS services, cloud-native data solutions, or enterprise cloud data lakes would be a strong advantage.  Documentation and supportability focus – Able to create clear documentation and build solutions that remain maintainable as the platform evolves.  Soft Skills  Ownership – Takes responsibility for delivering solutions and resolving issues end-to-end.  Curiosity – Goes beyond requirements to understand the business challenge behind the data.  Problem solving – Investigates root causes and proposes practical, data-driven improvements.  Initiative – Identifies opportunities, risks, and next steps without requiring constant guidance.  Comfort with ambiguity – Can move work forward when processes, requirements, or solutions are still being defined.  Communication – Able to work effectively with both technical teams and business stakeholders.  Simplification mindset – Looks for ways to reduce complexity and create scalable, easy-to-maintain solutions.  Continuous learning – Adapts quickly to new tools, technologies, and ways of working.  Attention to quality – Maintains high standards for data accuracy, reliability, and trust.  What will you get?We adapt to you:ð With our flexible schedule, you'll have the freedom to adjust your work hours to accommodate your personal needs and responsibilities.
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