Top Data Jobs in Bristol

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead the data strategy at Monzo, focusing on user engagement and evolving data practices. Collaborate with cross-functional teams and mentor data scientists.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Data Consultant role involves building and contributing to big data solutions, data lakes, ingestion pipelines, and using various storage methods. Key responsibilities include collaborating with a cross-functional team to enhance client data strategies.

Lead an agile delivery team in all aspects of the data and analytics lifecycle, designing scalable data platforms and solutions and influencing project success.

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

The Lead Data Engineer will develop secure data platforms using various technologies, ensuring data integrity and alignment to target models, and enhancing data processing.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The Data Analyst Consultant collaborates with teams to analyze and model data, providing analytical solutions and strategies to enhance business efficiency and profitability for clients.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.

The Clinical Data Manager II ensures accuracy and consistency of clinical trial data while managing access in data management systems and collaborating with cross-functional teams.

As a Senior Java Engineer, you will develop and optimize backend services for data-intensive applications, focusing on high reliability and performance in live sports environments. You will collaborate on architectural decisions, manage data pipelines, and work within an agile team deploying applications on AWS.

The Senior Data Analyst will provide analytical leadership, deliver insights, support cloud transformation, and mentor junior analysts while engaging stakeholders across the business.

As a Data Engineer, you will develop and maintain data systems, automate data pipelines, collaborate with stakeholders, and ensure data governance compliance.

The AI Data Expert will evaluate AI outputs, provide cultural insights, generate content, and ensure quality by applying evaluation guidelines and offering clear feedback.

The role involves evaluating AI outputs, providing annotations, and generating culturally relevant content while ensuring quality guidelines are met.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Design, build and maintain ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

Lead teams in Analytics Engineering, Data Science, and Product Analytics to set strategy, drive alignment, and improve data insights for Monopoly GO!