Top Data Engineer Jobs in Manchester

Design, migrate, and maintain regulatory reporting systems on GCP/BigQuery. Build automated ETL/ELT pipelines, support SQL Server legacy migrations, implement validation/monitoring, use IaC and CI/CD, and apply AI-assisted tooling to improve automation and reliability.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

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.

Build, optimise and stabilise AWS data pipelines during a migration. Fix technical debt, work with the Architect, collaborate with the client engineering team, transfer knowledge and deliver a production-ready platform.

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

Build and improve data pipelines that ingest, normalize, and distribute European power market data. Enhance APIs, monitoring, alerting, and performance; collaborate with data scientists and market experts to expand coverage and develop new product features.

Build and maintain large-scale batch and streaming data pipelines and analytics infrastructure for Roku's CTV advertising auction platform. Deliver high-quality datasets for advertiser and publisher analytics, support experimentation and auction simulation, implement data quality and observability, and partner with product, analytics, and data science teams to model data for marketplace optimization and reporting.

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

Design, build, and maintain scalable data pipelines and models (ingestion, modelling, orchestration). Ensure data quality via testing and monitoring, participate in code reviews, shape data architecture, and enable analytics/BI across the organisation.

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

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile 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 II will design and implement generative AI services, drive architectural standards, mentor engineers, and collaborate across teams to enhance data solutions.

Lead design and delivery of production-grade data pipelines, models and analytics on cloud platforms. Translate ambiguous problems into technical solutions, build/operate ETL/streaming, embed governance, integrate ML, apply software engineering practices, and communicate insights with visualisations and consultancy-grade materials.

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 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 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.

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.

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.