Senior Data engineer

About the role

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale. At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes - putting people first, embracing continuous learning, and thriving through collaboration and inclusion - we nurture our people to deliver exceptional customer service. If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work-together 🌟 Hiring: Senior Data Engineer (Client Location) | New Era Technology 🌟 Client Location: Shah Alam, Selangor Company: New Era Technology - www.neweratech.com Work Type: Hybrid Employment: Permanent 🚀 About the Role: New Era Technology is looking for experienced Senior Data Engineer to be deployed at our prestigious client in Malaysia at their Shah Alam, Selangor office. Job Description Senior Data Engineer and play a pivotal role in shaping our data-driven future across the Asia-Pacific region. In this role, you'll collaborate closely with the APAC Data Engineering Manager and team to design and maintain critical data infrastructure and pipelines that power strategic insights and innovative solutions. As a technical expert, you'll develop system integrations, build complex data models, and create semantic layers that transform raw data into actionable intelligence-driving efficiency, reliability, and growth. If you're passionate about solving complex challenges and delivering robust data products that enable advanced analytics and reporting, we'd love to hear from you. Key Accountabilities Data Integration: Establish data engineering best practices and governance standards Architect, design, and develop scalable and efficient data integration pipelines using Azure and Microsoft Fabric Pipelines, Dataflows Gen2 to ingest structured, semi-structured, and unstructured data from diverse sources including APIs, databases, file shares, and data streams Develop resilient data integration solutions leveraging Azure Functions, Fabric Notebooks (PySpark & SparkSQL), and .NET codebases, and related data lifecycle development frameworks Utilize Microsoft Fabric OneLake as the unified data lake foundation for seamless data integration across workloads Data Modelling: Design and develop comprehensive data architecture based on Medallion Architecture Develop business-friendly data models using Kimball dimensional modelling techniques within Microsoft Fabric Lakehouse and Data Warehouse, ensuring scalability and efficiencyDesign, develop, and manage Power BI semantic models and Direct Lake mode datasets to support business intelligence initiatives and self-service capabilities Maintain data dictionaries and metadata repositories using Fabric's data catalog and lineage capabilities to document data models and their elements, certify and promote models and their definitions, ensuring compliance with cross-region and customer data policies Insights & Analytics: Design and develop comprehensive Power BI solutions including advanced data models, interactive reports, data visualizations, and dashboards through expert use of Power Query, DAX, and Power BI Service Implement robust Power BI security, including Row-Level Security, to meet diverse cross-functional team and regional access needs Manage the Power BI instance including premium capacity, workspaces, datasets, monitoring, troubleshooting, and user access issues Advanced Analytics: Establish AI/ML engineering best practices and standards Design and develop scientific modeling and Machine Learning solutions using native Microsoft Fabric services to generate actionable insights Implement predictive and prescriptive analytics solutions and advanced analytics methodologies to optimize decision-making and improve business outcomes Leverage Copilot in Microsoft Fabric to accelerate analytics development and enhance productivity Delivery: Deliver complex data engineering solutions using Agile methodologies and iterative development processes Ensure quality of data engineering solutions by aligning with endorsed architecture, development, productivity standards, and processes Collaborate closely with the Product team and subject matter experts to understand and translate data engineering and integration requirements into technical solutions Ensure alignment of data engineering solutions with broader organizational strategic objectives and key performance indicators DevOps: Design, develop, and maintain robust Continuous Integration and Cont

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