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Build and maintain data warehouses, ETL pipelines, and data models for a media company using SQL, Python, Java, Hadoop, and cloud databases.
Design and maintain TB-scale ETL pipelines on Azure Databricks and Spark, ensuring data quality and governance while collaborating with cross-functional teams.
Data Engineer Jr+/Ssr to implement data governance in Azure, focusing on quality, cleansing, ETL/ELT, and validation with SQL, Python/PySpark, and Azure services.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in…
Build and maintain Azure-based data pipelines and analytics models to power enterprise reporting and decision-making using Synapse, SQL, Python, and Power BI.
Design and build scalable Azure data pipelines and lakehouses using Databricks, Fabric, and Snowflake, transforming raw data into insights and exploring generative AI applications.
Lead the evolution of an enterprise Microsoft Fabric data platform, setting architecture standards, improving automation and governance, and mentoring a small team of data engineers.
Senior Data Engineer builds and maintains a modern Azure Databricks lakehouse for a global energy and commodities trading firm, using PySpark, Snowflake, and Power BI to support trading operations and analytics.
Leads design and implementation of data platforms using Databricks, PySpark, Python and SQL to build scalable data foundations and integration pipelines.
Builds and optimizes data pipelines, lakehouses, and warehouses in Microsoft Fabric using PySpark, Python, T-SQL, and DAX to power analytics and BI.
Designs and maintains cloud-based data platforms, builds data pipelines with Python/PySpark/SQL, and ensures high-quality analytics for a large construction firm.
Lead the architecture and delivery of a global KYC and risk data platform using Python, PySpark, cloud, and AI/ML to support millions of customers.
Lead a global KYC and risk data platform team, designing secure, scalable data pipelines and frameworks in Python/PySpark, cloud-native stacks, and modern data tools.
Lead hands-on data engineering for clients in retail, media, and finance, building cloud pipelines and models on Azure, Databricks, and Fabric to power AI solutions and analytics.
Builds and optimizes scalable data pipelines using Python, Spark, and SQL to transform raw business requirements into efficient, cloud-based (AWS) data solutions, ensuring data quality, automation, and collaboration with cross-functional teams.
Builds backend data pipelines and BI models in PySpark and Power BI to support IoT, ESG, finance, and workplace safety across the company.
Are you a highly skilled Senior Data Engineer ready to lead and innovate in a dynamic, cloud-driven environment? We’re looking for a pivotal team member to design, develop, and maintain cutting‑edge data solutions,…
Lead a team to design and build analytics solutions in Microsoft Fabric and Power BI, modeling data, writing SQL/Python, and delivering governed metrics and reports for enterprise clients.
Builds and delivers Microsoft Fabric-based data platforms for NZ clients, designing lakehouses, ETL pipelines, and governance using SQL, Python, and Azure services.
Design and build scalable data platforms using Microsoft Fabric, focusing on Lakehouses and OneLake with Python, PySpark, and SQL.
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