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Design and implement secure, scalable cloud-native data processing systems on Azure, collaborating with Data Science and Engineering teams to enable advanced analytics and AI models.
Manage the full data lifecycle and build BI solutions supporting strategic decisions, using SQL, Python, Power BI/Qlik, Azure Data Factory, and Snowflake within an international industrial company.
Azure Data Engineer bridging Data Science and Data Engineering, building data pipelines and loading data into data lakes for analytics and ML using Azure Data Factory, Synapse, and Databricks.
The Azure Data Engineer will work in a cloud-native environment to support Big Data projects by collaborating with analysts and architects to build data solutions. The role requires expertise in Azure, Spark, Databricks, and data processing languages like Python or Scala.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud-based data solutions for diverse clients. The role involves data integration, migration, and quality assurance using tools like Azure Data Factory and DBT.
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
The Senior Data Engineer will build and maintain a scalable data platform in Copenhagen, collaborating with BI and AI teams. The role focuses on developing data pipelines, ensuring data quality, and applying DevOps principles using technologies like Azure Data Factory, SQL, and Python.
PRODYNA SE is seeking a Data Engineer to design and implement scalable data platforms and cloud-based solutions for clients. The role involves managing data integration pipelines, ensuring data quality, and supporting cloud transformation projects using technologies like Azure Data Factory, DBT, and various data modeling methodologies.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud-based solutions for diverse clients. The role involves managing data integration, ensuring data quality, and supporting presales activities using technologies like Azure Data Factory, DBT, and cloud infrastructure.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud solutions for diverse clients. The role involves data integration, pipeline development, and consulting on cloud transformations using tools like Azure Data Factory and DBT.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and assist clients with cloud migrations and data integration. The role involves working across various industries using technologies like Azure Data Factory, DBT, and cloud-based data modeling frameworks.
Data Engineer at an IT consulting firm, designing and building modern data platforms, ETL/ELT pipelines, and supporting cloud migrations for clients across aviation, banking, and chemicals sectors.
The Data Engineer will design, build, and maintain enterprise-scale data platforms and pipelines using the Azure stack, including Databricks and Synapse. The role involves collaborating with stakeholders to ensure secure, reliable, and data-driven decision-making capabilities.
The Senior Data Engineer will build and maintain ETL pipelines using Azure Data Factory and Synapse for a federal government client. The role involves designing scalable data models and ensuring data quality in a hybrid work environment.
The Senior Data Engineer will build and maintain robust data infrastructure for a federal government client using Azure data services. The role involves developing ETL pipelines, designing data models, and collaborating with cross-functional teams in an agile environment.
The Data Engineer will design, build, and maintain scalable enterprise data platforms and pipelines within the Microsoft Azure ecosystem. This role involves collaborating with cross-functional teams to deliver data-driven solutions while ensuring governance, security, and operational excellence.
Senior Data Engineer leading the design and implementation of complex data pipelines and systems for global retail data products, primarily using Snowflake, Azure Data Factory, and Power BI.
Data Engineer building scalable Azure data pipelines and platforms using Data Factory, Databricks, Synapse, and Delta Lake, with strong Python/SQL skills for ETL/ELT and data governance.
Senior Data Engineer designing and maintaining enterprise data pipelines and lakehouse architecture using Microsoft Fabric, Azure, SQL Server, and Oracle Cloud Infrastructure for a large dairy cooperative.
The Data Analytics Engineer will build and maintain data pipelines and visualisations using Python, SQL, AWS, and Thoughtspot to support business decision-making at easyJet holidays. This role involves collaborating with stakeholders to develop data products and mentoring team members within a hybrid work environment.
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