Top Data Engineer Jobs in Manchester

The Data Engineer will design and develop data pipelines, manage data processing solutions, ensure data quality, and collaborate with team members to create scalable data assets.

The Director of AI/Machine Learning Data Engineering will lead technical delivery, manage AI/ML teams, design scalable data platforms, and influence technology strategy.

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

As a Data Engineer at Kraken, you will build and maintain the data platform and pipelines, support analytics best practices, and optimize data management. Key responsibilities include developing tools, improving data infrastructure, and assisting global data operations.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

The Data Engineer will design and deploy production data pipelines, connect structured and unstructured data on AWS and collaborate with various teams to solve client problems.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

As a Data Engineer, you will develop and maintain data systems, automate data pipelines, collaborate with stakeholders, and ensure data governance compliance.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

Develop and maintain data ingestion and processing pipelines, collaborate with teams to build reliable data infrastructure, and support scalable solutions for decision-making tools.

The Senior Data Engineer will design and deliver scalable data solutions, collaborating with teams to ensure data accuracy and driving marketing activation across platforms.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Senior Software Engineer will develop and manage scalable systems for data processing and audience management, utilizing big data technologies and APIs while collaborating with cross-functional teams.

The role involves designing and developing APIs for advertising technology, managing large datasets, and collaborating with cross-functional teams.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Senior Software Engineer will build and enhance data pipelines, design backend services, maintain systems, and promote best practices across teams, emphasizing collaboration and adaptability.

Design, build, and optimize scalable data platforms across AWS and Azure. Enable data integration and support advanced analytics through cloud-based solutions and DevOps practices.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

As a Senior Data Engineer, you will build and optimize data pipelines, enhance AWS data infrastructure, and collaborate with teams to deliver reliable data solutions.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile teams.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.