About Us:At Sitecore, our mission is to simplify how brands reach, engage, and serve people by delivering intelligent, personalised digital experiences that connect the world. We empower the world's most iconic brands to build lifelong relationships with their customers—seamlessly, smartly, and at scale.As the leading provider of agentic digital experience software, Sitecore brings together content, commerce, and data into one composable platform that enables brands to deliver millions of meaningful, adaptive experiences every day. Trusted by global leaders such as American Express, Porsche, Starbucks, and L'Oréal, Sitecore helps brands transform engagement through experiences that are not only personalised but predictive and dynamic.Our foundation is our people—a diverse, passionate, and collaborative global team spanning over 25 countries. We believe that every experience matters, and that belief starts with how we work together. Our values—empathy, accountability, clarity, and growth—guide how we lead, innovate, and connect. They are the behaviors that bring our mission and vision to life, every day, in every interaction.As we continue to evolve, we are actively cultivating AI skills across our teams to unlock new levels of creativity, efficiency, and insight. From engineering to customer experience, AI capabilities are becoming integral to how we design, build, and deliver the next generation of digital experiences.Learn more at About the Role:We're seeking an experienced Data Engineer to join our dynamic team. You'll bring a solid background in data engineering and hands-on expertise with Microsoft Fabric and/or Databricks. In this role, you'll design, build, and maintain scalable data pipelines and infrastructure, working with SQL, Python, and PySpark to deliver clean, reliable data for analytics tools like Power BI and Copilot.What You'll Do:Build and maintain data pipelines using Microsoft Fabric components (e.g., Lakehouse, OneLake)Develop and configure Fabric Data Agents to securely connect to on-prem/cloud sources, enabling curated data domains for consumption by Copilot, Power BI, and other analytics toolsPerform data wrangling, cleansing, and transformation using PySpark, SQL, and PythonDesign and implement ETL/ELT workflows to process structured, semi-structured, and unstructured data across diverse sourcesSupport production environments with monitoring, troubleshooting, and incident resolutionCollaborate with analysts and stakeholders to understand data requirements and deliver data solutionsDocument pipeline logic, data models, and operational proceduresWhat You Need to SucceedGood experience in data engineering, with hands-on delivery of end-to-end solutions using Microsoft Fabric and/or Databricks in a production environmentStrong proficiency in SQL and Python for data manipulation and transformationExperience with data processing, ETL pipelines, and data warehousing solutionsFamiliarity with PySpark and Fabric-native tools (e.g., Notebooks, Data Activator)Experience with Azure Data Services (e.g., Key Vaults, Data Factory)Exposure to CI/CD tools (e.g., Azure DevOps, GitHub ActionsAdditional Skills That Could Set You Apart:Exposure to medallion architecture and data mesh conceptsExperience with Power BI or other visualization toolsSitecore is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without unlawful regard to race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, veteran status or any other local legally protected characteristic.How we hireAt Sitecore, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centers around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.