SAP-Azure Data Engineer

Job not on LinkedIn

🕒 March 15

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AGENTIC

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

AGENTIC is a B2B conference and event series focused on the autonomous AI era, convening enterprise leaders, builders, policymakers, and vendors to explore and operationalize AI agents, generative AI, and automation. The event offers keynotes, workshops, executive roundtables, and an interactive "Vibe Lounge" to showcase tools, enable hands-on demos, and drive measurable, outcomes-focused connections between buyers and solution providers across industries like healthcare, finance, retail, manufacturing, media, and government. AGENTIC emphasizes trust-driven growth, responsible AI governance, and practical deployment strategies to help organizations adopt AI at scale.

📋 Description

• Design, develop, and maintain data engineering pipelines using Azure Synapse Analytics and Databricks to support data warehousing and advanced analytics. • Develop interactive and informative dashboards and reports using Power BI for business decision-making. • Implement data integration, data modeling, and ETL/ELT processes, ensuring data quality and consistency across platforms. • Migrate and integrate data from SAP systems (SAP ECC, BPC, APO, SAP BI) to cloud-based environments and analytical tools. • Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions for business needs. • Apply machine learning frameworks and tools for predictive analytics and data science projects. • Ensure data governance, security, and compliance best practices are followed throughout all data processes. • Manage and optimize data lake and data warehousing solutions to support efficient data processing and storage.

🎯 Requirements

• 5+ years of experience in data engineering, SAP systems, and cloud-based data solutions. • Proven experience in Azure Synapse Analytics, Databricks, SAP ECC, BPC, APO, and SAP BI integration.