Top Data Engineer Jobs in Manchester

The Data Engineer will design and deploy production data pipelines, working with AWS cloud technologies and various data processing languages. Responsibilities include collaborating with stakeholders, problem-solving, and processing large data sets.

As a Data Engineer at UBDS, you will build data pipelines and solutions, collaborate in teams, and contribute to data-driven decision-making.

As a Data Engineer, you'll develop data-driven solutions, manage data pipelines, and ensure customer-centric data architecture while mentoring others.

Lead design and delivery of enterprise Azure-native data platforms: architect lakehouse/medallion solutions, build production data pipelines with Python/PySpark/SQL, implement IaC (Terraform/Bicep), CI/CD, security and governance (Entra ID, RBAC, private endpoints), embed Purview lineage, integrate Azure ML/OpenAI, conduct design/code reviews, and mentor engineering teams.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer will design and deploy production data pipelines in a big data architecture using AWS cloud technologies and programming languages for data processing and integration.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Senior Data Engineer, you will design and build data solutions, lead technical thinking, and deliver analytics and data pipelines using various technologies.

As a Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

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 Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

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.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Principal Software Engineer will enhance product features, mentor team members, and handle a variety of technical challenges within the engineering team, focusing on quality and performance.