Top Data Engineer Jobs in Manchester

As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.

As a Data Analyst at EFG, you will be responsible for understanding customer needs, driving data-driven decisions, and improving data quality and efficiency. You'll encapsulate business logic in the data warehouse, create analytical solutions, and develop visual storytelling through dashboards while inspiring and guiding team members.

As a Senior Data Scientist specializing in Computer Vision, you will develop advanced algorithms and AI models, enhance customer applications, and collaborate with cross-functional teams to improve in-store customer experiences at Walmart.

The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.

As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.