Top Data Jobs in Bristol

The Data Engineer role involves designing and deploying production data pipelines, collaborating with stakeholders, and utilizing AWS technologies for data processing and analytics.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

As a Senior Backend Engineer, you'll develop backend services and APIs, collaborate with cross-functional teams, and ensure code quality and performance in a high-growth environment.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Lead product strategy for the Data Intelligence portfolio, drive product initiatives, ensure technical feasibility, and advocate for customer needs. Manage cross-functional teams to measure business impact and deliver intelligent solutions for data governance and AI-driven insights.

The Data Engineering Manager will lead and manage data engineering teams, oversee technical architecture, and ensure data governance while promoting business alignment and continuous improvement.

As a Senior Data Engineer, you will build data platforms, design data pipelines, and integrate data models to support analytics and data science for clients. The role involves hands-on engagement, leading teams, and solving engineering challenges while communicating effectively with clients.

Lead a team of data engineers to build data platforms and pipelines, transforming operational data into integrated models for analytics. Engage with clients and solve engineering challenges with hands-on expertise in modern data tools.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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

Seeking a Data Solution Architect to optimize core data infrastructure, improving performance and scalability of analytical systems through analysis, refactoring, and architecture design.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

The Data Engineer will design and optimize data pipelines, manage data in various formats, and collaborate across teams to enhance self-service analytics, using technologies like PySpark and SQL.

The Own Brand Data Analyst at Asda will analyze data for decision-making regarding food safety, product quality, trends, and customer insights while collaborating within teams. Responsibilities include data processing, presenting findings, and model development.

The Data Scientist will preprocess client data, develop and tune machine learning models, communicate findings, and collaborate with stakeholders to improve risk prevention solutions.

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

The Analyst will support the Third-Party Risk Management program by executing processes, maintaining data accuracy, assisting with tool administration, and contributing to reporting and training efforts.

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.

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

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

The Data Science Editor will create and edit tutorials on data science and AI, manage freelancers, and improve content through SEO practices.

As a Data Engineer, you'll design and implement data solutions, develop data pipelines, manage data transformation, and collaborate with teams to enhance data services.