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The Senior Data Engineer will build and maintain robust ETL/ELT pipelines to process data from payment networks and internal systems using Python, SQL, and orchestration tools like Airflow. The role involves collaborating with stakeholders to ensure data accuracy, security, and performance optimization.
Lead the design and delivery of end-to-end Microsoft Fabric data solutions (Lakehouse, Warehouse, Pipelines, semantic models) for multiple consulting clients, combining hands-on T-SQL/PySpark/Python engineering with architecture, CI/CD via Azure DevOps/GitHub Actions, and mentoring.
Data Engineer designing and building scalable data pipelines from production systems into analytical platforms using big data and MPP tech stacks, collaborating with engineering, product, and business teams in South Africa.
Data Engineer building robust data pipelines and cloud-native solutions for data migration and modernization projects, using Python, SQL, Docker, and REST APIs with exposure to AI/LLMs.
The Marketing Data Engineer will build and maintain ETL pipelines to ingest data from ad platforms, manage cloud-warehouse structures, and ensure data quality for reporting and dashboards.
The Senior Data Platform Engineer will design and operate scalable data pipelines to move information from production systems into analytical and end-user applications. The role involves establishing technical best practices, data modeling, and mentoring team members on real-time and batch data solutions.
The Lead Microsoft Fabric Data Engineer will design and deliver end-to-end data solutions, including Lakehouse and warehouse architecture, using Microsoft Fabric, Azure, and Power BI. The role involves technical ownership of data pipelines and mentoring junior team members.
The Data Engineer will design, build, and operate cloud-native data platforms on AWS and Azure using Databricks and Microsoft Fabric. The role involves managing the full data lifecycle from ingestion to serving to support real-time analytics and AI initiatives.
The Data Engineering Intern will assist the team in supporting data pipelines, improving data quality, and delivering data products using Microsoft Azure within a call center environment.
The Data Engineering Intern will work with experienced professionals to build data pipelines and improve data quality within a call center environment. The role involves using Microsoft Azure and learning modern data engineering practices.
The Backend Team Leader for the Data Platform will architect and optimize data ingestion, enrichment, and storage pipelines while leading a team of engineers. The role focuses on building real-time streaming systems and championing GenAI adoption within the software development lifecycle.
IERTU is seeking a Senior Data Engineer to design, build, and manage end-to-end data solutions for advanced Data and AI projects. The role involves working closely with delivery managers and architects to implement data governance, quality, and security standards within a specialized consulting environment.
The Data Platform Engineer will design and evolve data platforms on Google Cloud, managing pipelines with BigQuery, dbt, and Airflow. The role involves implementing infrastructure as code, supporting MLOps, and integrating AI/LLM solutions for data quality and process optimization.
Data Platform Engineer designing and evolving a GCP-based data platform using BigQuery, dbt, Terraform, and Airflow for a logistics/transport technology company, with AI/LLM-driven automations.
The Azure Data Engineer will design and implement data pipelines for data lakes to support analytics and machine learning models. The role involves collaborating with architects and analysts while leading mid-sized teams using Azure and Spark/Databricks technologies.
The Cloud & Data Engineer will design and develop scalable cloud-based data pipelines and platforms to support digital marketing consulting and system integration. The role involves working with large datasets using Python, cloud infrastructure, and modern data engineering practices.
The Cloud Data Engineer will develop and optimize data-driven solutions in cloud environments, focusing on analysis, modeling, and implementation using Python, Spark, and Databricks.
NTT DATA Italia is seeking an AWS Data Engineer to design and manage data pipelines, including acquisition, transformation, and loading into data lakes for analytics and machine learning applications.
The Azure Data Engineer will support Big Data projects by designing data pipelines, performing ETL/ELT processes, and migrating workloads to the cloud. The role requires expertise in Azure services, Spark, and programming languages like Python and Java to prepare data for analytics and machine learning.
The AWS Data Engineer will design and maintain scalable data platforms, manage infrastructure as code, and implement CI/CD pipelines to support data analytics and machine learning models. The role involves migrating workloads to the cloud and ensuring high availability using AWS services and container orchestration.
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