Senior Data Engineer

About the Role We are seeking a hands-on Senior Databricks Developer to join our global manufacturing organization operating across 30+ plants worldwide. The ideal candidate will bring deep technical expertise in Databricks (with certification), strong proficiency in reporting and analytics tools, and a solid functional understanding of financial and operational reporting in a manufacturing setup. This role requires close collaboration with the senior line and support management teams, directly contributing to strategic initiatives, business improvement programs, and AI-driven innovation. Key Responsibilities • Design, develop, and maintain scalable data pipelines and analytical solutions on the Databricks platform. • Serve as the technical SME (Subject Matter Expert) for Databricks and related data architecture components. • Lead and support reporting initiatives for financial, operational, and manufacturing KPIs across plants. • Collaborate with business stakeholders and senior management to define reporting needs, translate requirements into technical solutions, and ensure alignment with strategic goals. • Participate in brainstorming sessions with senior leadership to ideate and develop: • New facility onboarding strategies • Feature enhancements and data model improvements • AI/ML use cases to maximize Databricks adoption and automate reporting • Propose innovative solutions with clear business cases, balancing technology, cost, and impact. • Partner with cross-functional and remote teams to deliver high-quality, timely, and actionable insights. • Ensure data accuracy, governance, and performance optimization across all Databricks environments. • Support continuous improvement initiatives for enterprise data architecture and analytics maturity. Qualifications Education & Certification: • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field. • Databricks Certified Data Engineer / Data Analyst / Machine Learning certification (required). • Additional certifications in Azure, AWS, or GCP data platforms preferred. Experience: • 8+ years of total experience in data engineering or advanced analytics roles. • 3+ years hands-on experience with the Databricks platform (Delta Lake, Spark, MLflow, Unity Catalog, etc.). • Proven experience working with reporting and visualization tools such as Power BI, Tableau, or Qlik. • Strong understanding of financial and operational reporting, including manufacturing KPIs (e.g., OEE, cost analysis, production efficiency, variance reporting, etc.). • Demonstrated success in data-driven business transformation projects within a manufacturing or industrial environment. • Experience collaborating with remote and cross-functional teams across time zones. Skills: • Advanced proficiency in SQL, Python, and Spark. • Strong knowledge of data modeling, ETL processes, and data governance. • Excellent communication and stakeholder management skills. • Ability to translate complex technical solutions into clear business outcomes. • Strong analytical and problem-solving mindset. • Exposure to AI/ML and predictive analytics is a plus. Why Join Us • Opportunity to work at the intersection of data, technology, and manufacturing innovation. • Direct engagement with senior leadership and global business teams. • Empowered to propose and implement innovative, AI-driven data solutions. • Collaborative and growth-oriented environment with global impact