Future Tech Jobs
Future Tech Jobs
This role involves building and maintaining data pipelines for a new digital Screening service within the NHS England Digital Screening programme. You will develop ETL processes using PySpark, work in an Agile team, and ensure data quality and reliability for reporting dashboards.
As a Data Engineer, you will be responsible for maintaining and optimizing the organization's data platform, including SQL Server databases and a modern cloud-based data ecosystem. You will ensure data reliability, scalability, and performance, develop robust data pipelines, and collaborate with cross-functional teams to deliver end-to-end data solutions. The role involves hands-on technical work, continuous improvement, and a focus on data governance and quality.
As a Data Engineer, you will be responsible for delivering end-to-end data engineering activities using Microsoft Azure technologies. You will design and implement data pipelines, create business-aligned data models, and ensure robust supportability and documentation. This role involves continuous improvement, collaboration, and proactive monitoring within the Data Engineering team.
As a Data Engineer, you will build and maintain data pipelines using SQL and Python, develop data models for analytics and AI applications, and work with cloud platforms like Azure, AWS, or GCP. You will collaborate closely with Product Managers, AI Engineers, and Analysts to support the development of next-generation analytics and decision intelligence products.
As a Data Engineer, you will design and maintain scalable data pipelines, ensuring data quality and performance. You will collaborate with Data Science, Insight, and Governance teams to drive data-driven decision-making and innovation in the utilities sector.
As a Data Engineer, you will play a crucial role in the company's digital transformation by designing, developing, and maintaining business intelligence solutions. You will work closely with technical teams to integrate systems, optimize queries, and deliver meaningful insights through reports and visualizations.
The Data Engineer role involves designing, building, and supporting robust data integration and ETL solutions using Talend and Unix. Key responsibilities include creating scalable data pipelines, ensuring high service reliability, collaborating with stakeholders, and mentoring team members in a secure government environment.
This role involves designing and implementing data-intensive platforms and pipelines, working closely with multidisciplinary teams and customer stakeholders. You will support customers in developing data strategies, build scalable and secure solutions, and contribute to the development of new capabilities and intellectual property.
As a Data Engineer, you will build and optimize Azure data pipelines, support migrations to Azure Data Lake, and ensure data quality and governance. You will work in an agile environment, collaborating with global teams to drive innovation and technology advancements.
This role involves building and maintaining scalable data pipelines, integrating multiple data sources, and supporting analytics and reporting. You'll work closely with stakeholders to translate business requirements into effective data solutions and contribute to AI-powered workflows and automation.
As a Data Engineer, you will work at the intersection of engineering, production, and data systems, transforming raw data into usable assets. Your responsibilities include data analysis, pipeline management, and collaboration with engineering teams to deliver high-quality data solutions. You will also contribute to expanding Domin’s AI/ML capabilities and maintain high code quality standards.
As a Data Engineer, you will work within the Data Labs Team at a leading university, focusing on the development and maintenance of robust data pipelines using Azure Data Factory and DBT. Your role involves designing scalable data models, ensuring data quality, and collaborating with cross-functional teams to enhance data accessibility and analytics capabilities.
The Data Engineer will join Salix's growing Data & Analytics team to build and maintain robust data pipelines, ensuring high-quality data for reporting, analytics, and operational decision-making. You will work closely with analysts and business stakeholders to develop scalable data solutions and support strategic initiatives, including the creation of a historical data repository and preparation for a new CRM platform.
This role involves designing and developing enterprise-scale data pipelines, integrating data from multiple sources, and building cloud-native data solutions using AWS and Azure. You will collaborate with architects, developers, and business stakeholders to ensure data quality, performance, and reliability, while contributing to Agile delivery teams and driving engineering excellence.
This role involves designing, building, and maintaining end-to-end data pipelines on a modern Azure-based platform using Databricks. You will work closely with architecture and delivery teams to ensure robust, scalable, and governed data solutions, while implementing data quality, lineage, and security controls.
