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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.
A Senior Data Engineer developing hybrid cloud data pipelines, designing PostgreSQL databases, and managing security using Azure Data Factory and event-driven technologies, with a mix of office work in Malvern/London and client-site visits.
The Azure DevOps Engineer will design, automate, and support cloud-native infrastructure and CI/CD pipelines for a central government client's Azure Data Platform. The role focuses on Infrastructure as Code, platform automation, and maintaining resilient services using tools like Terraform, Azure DevOps, and various monitoring solutions.
Design and build enterprise data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Python, SQL, and Azure cloud services (Azure Data Factory, Databricks, Microsoft Fabric, Snowflake) within NNIT's AI Center of Excellence.
Builds and maintains data pipelines, warehouses, and collection systems to enable AI/data science projects for clients, focusing on security, scalability, and cloud infrastructure (AWS/GCP/Azure).
The Senior Software Engineer will design, develop, and maintain enterprise-scale data warehouse solutions and ETL/ELT pipelines. The role involves working with cloud platforms, big data technologies, and data modeling to support analytics and reporting within an agile environment.
Designs and builds data pipelines using Azure Data Factory and Databricks to support a target data platform, translating business needs into scalable solutions while adhering to CI/CD and best practices.
The Principal Data Solutions Architect provides strategic and technical leadership for client data projects, designing scalable cloud-based data architectures and roadmaps. The role involves leading delivery teams, mentoring staff, and supporting business development using technologies like Azure, AWS, Snowflake, and Databricks.
The Cloud Data Engineer designs, develops, and operates cloud frameworks for an international data and analytics platform using Microsoft Azure and Big Data technologies. The role involves building ETL pipelines, supporting data product teams, and implementing DataOps and DevOps methodologies.
Senior Analytics Engineer designing and maintaining ELT pipelines and dimensional data models in Google BigQuery using SQL, Python, and dbt to deliver clean datasets to end users.
Azure Data Engineer at TCS designing and developing ETL/ELT data pipelines using Azure Databricks, Azure Synapse, and Azure Data Factory on the Azure cloud platform.
Owns and operates an enterprise data platform on Microsoft Fabric, designing lakehouse architectures, building ingestion pipelines from ERP/CRM systems, and maintaining Power BI semantic models while working directly with business stakeholders.
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