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Top Data Jobs in Bristol
As a Data Engineer at Ascent, you will design and create data pipelines to transform data efficiently. Responsibilities include working with stakeholders to understand requirements, modeling data for optimal usage, and managing data governance and lineage using Azure services.
The Data Science Manager in the Defence sector will lead large-scale AI and ML projects, providing expertise to data science teams while communicating with stakeholders. Responsibilities include overseeing data delivery, model development, mentoring team members, and ensuring adherence to architectural principles and standards.
As a Commercial Data Analytics Developer, you will collaborate with the marketing team to translate business requirements into insights through data analysis, statistical modelling, and BI reporting using tools like T-SQL, Python, and Power BI.
As a Data Architect, you'll design and manage the data architecture for BI and Data applications, ensuring data availability and performance. You'll collaborate with cross-functional teams to deliver robust data solutions, lead a team of Data Engineers, and engage with stakeholders to understand data requirements, all while demonstrating expertise in database design and data integration.
As a Data Engineer on the TechInt team, you will develop and maintain automated data ingestion pipelines, design a cloud-native data warehouse, collaborate with data scientists, and ensure system performance and reliability while simplifying existing data processes.
As a Senior Data Analyst, you will analyze data to provide actionable insights, collaborate with various departments to define strategies, and support decision-making through data dashboards and visual presentations. You'll manage ad-hoc analyses and measure impact for product launches, fostering a data-driven culture within Airalo.
The Data Senior Manager, Growth will lead analytics for growth initiatives, manage and execute experiments, develop attribution models, calculate and optimize key metrics like channel-level CAC, and create dashboards for leadership insights. This role requires both strategic thinking and technical skills, with a focus on driving measurable business outcomes through data-driven insights.
The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
The role involves evaluating and rating e-commerce data based on specific guidelines, conducting online research, and providing feedback to improve AI technologies. It is targeted towards entry-level candidates and offers flexible hours as a freelance opportunity.
As a Data Quality Analyst, you will support the Global Data Quality strategy, working with various teams to implement data quality rules, ensure high-quality master data, and drive large-scale data cleansing projects. You will manage data quality assets, perform root cause analysis, and deliver specifications to the DevOps team using AGILE methods.
The Data Discovery Analyst will lead data discoveries with Local Authorities, documenting both digital and non-digital data sources. Responsibilities include data quality assessment, creating process flows, report writing, and stakeholder management, along with supporting process improvements and transformations.
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.
The Principal Data Architect will lead the development of data and AI solutions, providing assurance and support to agile teams, managing architects and engineers, and delivering customer-focused strategies while advising on new technologies.
In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.
As a Privacy, AI & Data Protection Counsel, you will work closely with Wiz’s Global Privacy Officer to manage the company’s privacy and compliance program, provide guidance on data protection and AI compliance, and serve as a subject matter expert on these matters. You'll negotiate data processing agreements and stay abreast of international privacy regulations.
As a Sales Data Analyst at Mars Snacking, you will support the Global Director by capturing and analyzing data requirements for multiple business initiatives. Your role includes documentation, optimizing data usage, ensuring data readiness for technology roll-outs, and managing data quality and governance across sales processes.
The Enterprise Data & AI Literacy and Change Enablement Lead will lead the transformation program at Mars Snacking, focusing on elevating data experience and driving a data-fluent organization. Responsibilities include defining the data literacy strategy, enhancing data culture, improving governance, engaging stakeholders, and implementing communication plans.
The Senior Data Analyst will deliver data-driven insights to support business decisions by working with stakeholders, applying analytical techniques, and presenting findings effectively. The role requires ownership of complex projects and a focus on innovation and best practices in a collaborative environment.
As a Data Engineer at Methods Analytics, you'll develop and implement data solutions using platforms like Azure and PowerBI while ensuring data quality and integrity. You'll collaborate with cross-functional teams, design ETL/ELT pipelines, and create data models to support strategic decisions.
As a Data Engineer at Aircall, you'll design and implement real-time distributed data pipes for analytics and products, ensuring high reliability and low latency. You'll support teams with best practices, build a scalable serverless infrastructure, and contribute to ongoing data projects.
As a Data Architect Manager at Kainos, you'll lead data architecture initiatives, focusing on data structures, flows, sourcing, and governance. You'll provide technical leadership, engage with clients to meet their data needs, and manage a small team, fostering their development while addressing complex data projects and challenges.
As a Lead Data Engineer at Kainos, you will design and develop data processing software, lead agile teams, enforce best practices, and ensure operational readiness of applications while managing and coaching team members.
As a Senior Data Engineer, you will design and develop data processing software for large-scale solutions, ensuring software supports user needs and non-functional requirements while mentoring team members and maintaining high code quality.
As a Senior Data Scientist, you will design and implement data science solutions for businesses, take responsibility for technical specifications, mentor junior team members, and work with a dynamic team on various projects that impact business KPIs, while keeping up with the latest technologies and techniques.
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