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Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
Databricks is seeking a Solutions Architect (EDW Migrations) to lead large-scale EDW migration initiatives across EMEA. You will partner with product and account teams to craft adoption strategies, create technical…
Designs, builds, and maintains scalable data pipelines and lakehouse architectures to enable analytics, reporting, and ML across BC Transit’s operations. Focuses on modern data engineering practices, automation, and mentoring engineers to improve organizational data capabilities.
Builds and maintains Microsoft Fabric’s data platform (lakehouses, warehouses, pipelines) to ingest, transform, and model data from ERP/CRM/e-commerce sources, enabling analytics, AI assistants, and reporting via Power BI and Fabric IQ.
Location: Roma, LAZIO - Italia Può ottenere maggiori dettagli sulla natura di questa posizione e sui requisiti per i candidati leggendo quanto segue. Area: AI, Data & Hyperautomation Modalità di lavoro: Ibrido…
A Data Engineer will work on end-to-end projects using Microsoft Fabric and Azure, translating technical requirements into concrete solutions, with at least 2 years of experience required.
Designs and builds scalable data pipelines using Microsoft Fabric and Azure Databricks, focusing on API-driven ingestion, cross-platform data integration, and Power BI analytics with Direct Lake.
Design and optimize scalable ETL/ELT pipelines on Microsoft Azure and Fabric to build Lakehouse, data warehouses, and models for investment analytics in asset/wealth management.
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
Lead the design and implementation of a modern AWS cloud-native data platform for a UK charity, shaping data lakehouse architectures, pipelines, and governance to drive operational and analytical insights as part of a five-year digital transformation strategy.
Designs and leads enterprise-grade data platforms, integrating AI/data engineering with cloud technologies (Azure/AWS/GCP) to deliver scalable, secure, and future-proof solutions for clients.
Designs, builds, and optimizes data pipelines on Databricks and AWS to power UK healthcare systems, ensuring scalability, security, and compliance with NHS standards.
Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Design and build scalable data pipelines on the Databricks Lakehouse Platform for clients, translating business needs into production-grade data solutions.
Builds and maintains batch/near-real-time data pipelines while designing a Databricks Lakehouse architecture to support analytics and modeling in a fintech environment.
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Develops and optimizes data platforms and ELT pipelines on Databricks Lakehouse, using SQL, Python, PySpark, and Delta Lake to integrate data sources and deliver consulting solutions from design to production.
Develops and optimizes Databricks Lakehouse-based data platforms and ELT pipelines, implementing data models (Data Vault, 3NF, dimensional) and integrating diverse data sources while advising clients on technical architecture and deployment processes.
Designs and implements scalable data architectures using Databricks (Delta Lake, Unity Catalog) to solve complex data challenges for clients in healthcare, finance, and government. Leads technical teams, mentors engineers, and drives cloud-native data solutions with Python/Java and modern data workflows.
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
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