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Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Designs scalable Azure-based cloud architectures, data platforms, and AI/ML solutions for a motorsport engineering team, using Python, Terraform, and MLOps.
Backend engineer designing and securing data systems for a government energy market operator, using J2EE and relational databases.
Build and operate a cloud-native data platform on Snowflake and public cloud, owning provisioning, ingestion pipelines, transformations, governance, and cost-efficient scaling for analytics across the travel-tech company.
Builds BI reports and Azure-based data pipelines for Syscons, using Azure Synapse, Data Factory, and Power BI.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Lead enterprise data architecture and governance for a manufacturing-focused company, defining data models, MDM strategy, and integration patterns across SAP, Salesforce, and MES systems.
Designs and builds scalable cloud data platforms on GCP, including Data Warehouses and Data Lakes, using BigQuery and ETL/ELT pipelines, and supports BI tools like Power BI or Tableau.
Build and maintain data pipelines, dashboards, and analytics for a biomedical charity’s grant management and research funding systems, using SQL, cloud platforms, and BI tools.
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Designs and builds enterprise-scale Azure data pipelines and analytics solutions using Data Factory, Synapse, and Power BI for high-profile clients.
Builds and maintains data pipelines, KPIs, and BI dashboards on Databricks, integrating AI-driven analytics for a 2.5M-customer platform.
Designs and builds BI solutions on Microsoft Azure for enterprise clients, including data pipelines, DWH, and Power BI dashboards.
Designs data pipelines and lakes, transforms data with PySpark/Spark SQL, and builds Power BI dashboards for manufacturing or agri-food clients.
Designs and builds cloud-native data lake and warehouse solutions using Python, Java, and Google Cloud Platform in a hybrid work environment.
Builds and maintains data pipelines, warehouses, and lakes using SQL, Python, and Spark for an international product team based in Rome.
Build and evolve backend services in C#/.NET, collaborate on React frontends, and help scale the platform on GCP for a startup marketplace.
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines using Python and SQL for a fintech company.
Designs and builds cloud data pipelines, warehouses, and lakes, and implements GenAI/Defender AI solutions while ensuring data governance and security.
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