Top Data Jobs in Bristol

Design and implement data lake architectures for banking clients on GCP, focusing on data governance, metadata management, and compliance with financial regulations. Build data pipelines and deliver MVPs while ensuring quality and security in solutions.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Scientist will focus on quantitative analysis, guide A/B tests, and collaborate with teams to enhance user engagement and product profitability.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

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 Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The Media Business Director manages Growth Marketing accounts, leads key client relationships, oversees projects, and ensures team collaboration to drive commercial success.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.