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The Data Platform Engineer will lead the architecture, design, and evolution of an Enterprise Data Platform using technologies like Azure, Databricks, and Microsoft Fabric. The role focuses on building scalable data pipelines, establishing data governance, and driving platform modernization.
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based analytics platforms using Microsoft Azure. The role involves collaborating with stakeholders and data scientists to support business intelligence, machine learning initiatives, and data governance.
Data Engineer designing, building, and maintaining data pipelines and ETL processes using Databricks, Python/PySpark, SQL, Azure Data Factory, and Delta Live Tables.
The Data Engineer Lead will design and implement scalable data architectures and pipelines using Azure Databricks, dbt, and SQL. This role involves providing technical leadership, mentoring junior engineers, and establishing best practices for data engineering and CI/CD workflows.
The Principal Data Engineer will lead cloud migration and data modernization initiatives at Fraser Health, overseeing hybrid cloud architecture and mentoring team members. The role focuses on designing enterprise data models and implementing secure, scalable data solutions.
The Principal Data Engineer leads the design, architecture, and cloud migration of data solutions within a healthcare environment. The role involves managing hybrid cloud infrastructures, mentoring team members, and implementing automated CI/CD pipelines using technologies like Azure, SQL Server, and Python.
Lexroom.ai is seeking an Analytics Engineer to build their data foundation, manage the transformation layer, and create self-service dashboards using BigQuery, dbt, Pub/Sub, and Python. This role serves as the first dedicated analytics hire, working closely with leadership to drive data-informed decision-making.
The Data Engineer will design and manage data pipelines on the Azure platform, working with technologies like Azure Databricks and PySpark. The role involves collaborating with international teams on advanced data projects in a hybrid or remote environment.
The Engineering Manager will lead a team of data engineers at Prima to build scalable data solutions for the motor insurance sector. The role focuses on managing the Claims Data Management team to support the company's expansion in Italy, the UK, and Spain.
The AWS Data Engineer will design and implement data platforms on AWS, focusing on data acquisition, transformation, and loading into data lakes to support analytics and machine learning. The role involves collaborating with architects to migrate infrastructure to highly available cloud environments.
The Data Engineer will work on innovative projects within a collaborative environment, focusing on professional growth and the development of cutting-edge solutions.
The AWS Cloud Data Engineer will work in the Digital Solutions Center to manage data ingestion via Kafka and integrate plant systems. The role involves designing data loading chains and deploying cloud-based big data solutions on AWS in collaboration with the Milan team.
The Data Engineer & Analyst will design and maintain data pipelines, develop complex SQL queries, and build BI solutions using Python and Azure to support business stakeholders.
AESYS is seeking a Data Engineer to design and implement data pipelines on Azure using Databricks, PySpark, and ADF. The role involves working with Delta Lake architectures and managing data integration from various sources in a hybrid or remote environment.
Data Engineer at Italian banking group Credem, building and evolving a cloud data infrastructure on Google BigQuery, developing Python/SQL pipelines, and collaborating with Salesforce and marketing teams in a hybrid setup.
Design and build streaming and batch data pipelines on AWS (Kafka, Spark/Flink, S3 lakehouse) for Pirelli's manufacturing Data Platform, transitioning legacy systems to a data-driven architecture while supporting global production plants.
Data Architect designing and operationalizing cloud-native data processing systems and large-scale ELT pipelines on GCP, focused on security, scalability, and compliant data management.
Design and optimize data pipelines and platforms for next-generation telecom networks, collaborating with OSS architects and international stakeholders using ETL/ELT, GCP (Dataflow, BigQuery), Databricks, Kafka, and REST/GraphQL APIs.
Azure Data Engineer bridging Data Science and Data Engineering, focused on data acquisition, transformation, and loading into data lakes within a cloud-native Azure environment to enable analytics and ML models.
Data Engineer supporting innovative data-driven projects within a dedicated team at an engineering firm in Milano.
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