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Design, deploy, and industrialize Dataiku DSS projects at scale—building data pipelines, integrating Dataiku with existing platforms, and ensuring performance and governance using Dataiku, Python, Spark/PySpark, and cloud (Azure/AWS/GCP).
Architect and maintain enterprise analytics solutions using Microsoft Fabric, Power BI, and Azure to support sales, pricing, procurement, and inventory decision-making for a packaging distribution company.
The Data Engineer provides L2/L3 operational support for enterprise data platforms, focusing on troubleshooting Databricks environments, ETL/ELT pipelines, and cloud-native services on AWS or Azure. The role involves incident management, performance monitoring, and automation to ensure the reliability of data processing systems.
The Junior Data Engineer will assist in developing and maintaining ETL/ELT pipelines, writing complex SQL queries, and ensuring data quality. The role requires strong proficiency in Python and SQL, with a focus on collaborating with cross-functional teams to build robust data architectures.
Build and deploy ETL/ELT pipelines to integrate data from multiple sources into centralized repositories using Python, SQL, and cloud data platforms.
Azure Data Engineer building and migrating solutions on Databricks, Synapse, and Unity Catalog, owning the full development lifecycle including Tableau-to-PowerBI dashboard migration in Toronto.
The Senior Data Engineer will design, build, and maintain scalable enterprise data pipelines and BI solutions for the Government of Alberta. The role involves working with cloud platforms like Azure, Databricks, and Microsoft Fabric to transform complex datasets into actionable insights.
Build and scale data infrastructure and ETL pipelines in Python/PySpark to power analytics and data products for a global storytelling platform.
Senior Data Engineer building scalable data architectures and enterprise data products on Azure, Databricks, Delta Lake, Spark/PySpark, SQL, and Python, leading ETL/ELT pipelines, data quality, and governance initiatives while mentoring engineers.
The Data DevOps Engineer will develop, deploy, and maintain data pipelines and machine learning workflows within a multi-cloud environment. The role involves collaborating with data scientists to optimize analytics platforms using tools like Python, Kubernetes, and various Big Data technologies.
LOCATION: Lehi, UT HYBRID: Monday-Wednesday In-office POSITION OVERVIEW: Opiniion is a SaaS, AI first company reshaping how businesses understand and act on customer feedback. We're looking for a Staff Data…
Data Engineer designing, building, and optimizing modern data platforms on Azure, Databricks, and Fabric for a digital transformation consulting firm.
Data Engineer designing and building modern data platforms on Azure, Databricks, and Fabric for client consulting engagements at a digital transformation firm.
This Data Engineer role involves building and optimizing large-scale data pipelines for IoT sensor data using Python, SQL, and PySpark. The position offers opportunities to work with modern big data technologies like Databricks, Kafka, and AWS in a hybrid environment based in Bristol.
The Data Engineer will build and maintain scalable real-time data pipelines using Python, SQL, PySpark, Databricks, Kafka, and AWS. The role involves collaborating with data scientists and software engineers to support AI/ML initiatives and manage large-scale sensor data processing.
The Senior Data Engineer will design and deliver data solutions using AWS, Azure, PySpark, and SQL within government and defense sectors. The role involves collaborating with architects and stakeholders to build robust data integration pipelines in a hybrid work environment.
ESPRIMO Srl, società di consulenza informatica che opera dal 2002 su tutto il territorio nazionale ed internazionale, a supporto delle imprese, si colloca nel settore dell’Information Technology proponendosi come…
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
Data Engineer building AWS Glue-based ETL pipelines to ingest data from heterogeneous sources into Amazon S3 and process it across a medallion lakehouse architecture, using PySpark, Python, and SQL.
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