Top Data Engineer Jobs in Manchester

As a Data Engineer, you will create, migrate, and maintain regulatory reporting systems on Google Cloud Platform, focusing on data transformation, pipeline development, and cloud-native solutions.

The Data Engineer will design and maintain the data infrastructure, develop data warehousing solutions, automate data pipelines, and ensure compliance with governance policies.

The Principal Data Engineer will design and build large-scale backend services and data pipelines, lead architectural decisions, and mentor engineers. This role requires deep technical expertise in building distributed systems and ensuring system reliability and performance optimization.

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.

The Data Engineer will build robust data pipelines, manage data ingestion processes, optimize performance, and collaborate with teams to ensure data reliability in a financial services context.

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.

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 Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

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

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 Data Platform Engineer will design and maintain Microsoft Fabric-based platforms for analytics and AI, enabling customer insights and automated reporting.

The Data Architect/Data Engineer will design scalable data architectures, build and optimize data pipelines, ensure data governance, and support advanced analytics and personalization, particularly using Adobe Experience Platform.

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.

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

The Software Engineer will collect audio data, manage the ingestion pipeline on GCP, collaborate with scientists, and develop data strategies for AI models.

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

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.

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

The role involves developing and maintaining the Enterprise Data Warehouse, optimizing queries, and supporting data analysis and business intelligence activities.

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.