Data Engineer / ML Engineer (Databricks Expert)

About Runestone IntelligenceRunestone Intelligence is a global AI and data innovation company headquartered at the DIFC AI Campus, Dubai — with strong Nordic roots and growing presence across Europe, the Middle East, and South Asia.We work on world-class AI projects spanning retail, fintech, maritime, and sustainability sectors — developing end-to-end data and machine learning solutions that power real-world decisions.Role OverviewWe are looking for a Data Engineer / ML Engineer with strong Databricks experience to join our growing global engineering team.You’ll help design, build, and optimize scalable data and ML pipelines in a cloud environment (Azure / GCP / AWS), enabling real-time analytics, AI model deployment, and business intelligence at scale.Key ResponsibilitiesDesign and implement data pipelines for ingestion, transformation, and storage using DatabricksWork with Spark, Delta Lake, and MLflow to manage and monitor ML workloadsCollaborate with data scientists and product teams to deploy ML models into productionOptimize performance and cost-efficiency across cloud infrastructureMaintain CI/CD and data quality processes for production pipelinesContribute to architecture discussions and innovation in AI-driven productsRequirements✅ Proven experience in Data Engineering or ML Engineering (3+ years preferred)✅ Hands-on experience with Databricks (Workspace, Unity Catalog, Delta Live Tables, MLflow)✅ Strong knowledge of Python, SQL, and PySpark✅ Experience with Azure, GCP, or AWS data ecosystems✅ Solid understanding of modern data architectures (lakehouse, ETL/ELT, orchestration)✅ Databricks certification (e.g. Data Engineer Associate / Professional, Machine Learning Associate) is a big plus✅ Experience with Docker, Airflow, Terraform, or CI/CD pipelines is a plusWhat We Offer💡 A chance to work on high-impact AI projects across industries and continents 🌍 Global collaboration with experts in AI, analytics, and engineering 💼 Flexible location & working setup 📈 Long-term growth opportunities within a fast-scaling AI firmHow to Applyapply directly here on LinkedIn.