Top Data Jobs in Bristol

Designs, builds, and operates Python-based data platforms, web applications, APIs, and agentic workflows. Develops batch and streaming pipelines, AWS data services, secure backend systems, CI/CD, monitoring, and governance controls. Translates business needs into production solutions, establishes reliable AI-agent safeguards, mentors engineers, reviews designs and code, and coaches business users building front ends with AI-assisted tools.

Lead business discovery, process mapping, requirements definition, SQL-based analysis, dashboard development, and AI-assisted or agentic workflow prototyping. Own initiatives from problem definition through implementation, user adoption, and outcome measurement. Partner with business and technical teams to improve data quality, enable self-service analytics, establish controls, test solutions, and deliver measurable process and decision-making improvements.

Lead customer-anchored innovation and strategic growth initiatives for a digital energy-transition business. Build and advance an innovation opportunity pipeline, monitor markets and emerging technologies, translate customer and market insights into strategy, and support build-buy-partner decisions. Identify and evaluate potential partners, technologies, and acquisition targets while collaborating with customers, business lines, innovation labs, and senior leadership to scale commercially viable digital solutions.

Own enterprise technical support cases from triage through resolution across Kubernetes, cloud infrastructure, ML platforms, authentication, data connectivity, and model deployment. Diagnose issues, write actionable Jira bug reports, create knowledge-base documentation, coordinate global case handoffs, and communicate clearly with customers. The role includes live troubleshooting sessions and participation in an EMEA weekend on-call rotation.

Leads and scales a data engineering team of 8+ engineers, owning data strategy, platform modernization, architecture, reliability, and engineering standards. Partners with product, analytics, and commercial teams to deliver scalable, secure, high-quality data solutions. Responsibilities include coaching, mentoring, roadmap ownership, stakeholder management, performance measurement, and representing data engineering with senior leadership. The role requires technical credibility across cloud platforms, data warehouses, orchestration, modeling, pipelines, infrastructure as code, and CI/CD.

Develop and maintain customer-facing analytical reporting, data pipelines, and data models. Build Python applications, ensure data quality and consistency, collaborate with analytics engineers, and enable business teams to access actionable data. The role also involves cloud data warehouse optimization, infrastructure as code, software engineering best practices, and cross-functional product collaboration within an agile SaaS environment.

Supports Boeing Defence UK’s Data Analytics team across data collection, cleaning, validation, transformation, modeling, analysis, and visualization. The intern will assist with ETL/ELT pipelines, data models, dashboards, reporting, anomaly investigation, and troubleshooting. They will complete and present a documented project demonstrating their learning and provide a maintenance handoff. The role is full-time in Bristol, may involve occasional travel to UK sites, and requires UK work authorization and eligibility for UK Security Check clearance.

Supports Boeing Defence UK’s data analytics team through dataset extraction, cleaning, validation, ETL/ELT development, data modeling, dashboard creation, anomaly investigation, and reporting. The intern will learn team tools and standards, contribute to production or near-production pipelines, complete a documented project, and present a final demonstration. The role is full-time in Boeing’s Bristol office and may involve visits to UK Boeing or customer sites.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Lead complex cloud, AI, digital transformation, and technology programmes for enterprise, public sector, and regulated-industry customers. Responsibilities include delivery planning, governance, risk management, financial controls, executive stakeholder engagement, presales support, and cross-functional team leadership. The role ensures delivery quality, customer satisfaction, and measurable business outcomes while operating across secure and regulated environments.

Build and execute Cribl’s EMEA go-to-market strategy with global systems integrator partners such as Accenture and Deloitte. Develop partner relationships, create sales pipeline, support joint opportunities, grow partner capabilities through training and enablement, develop repeatable solutions, connect field teams, and manage partnership metrics including pipeline, revenue, and engagement. The role requires regional collaboration across EMEA and occasional travel.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Coordinates translated website and marketing content across workflows. Responsibilities include preparing and formatting source files, managing translation projects, creating Asana tasks, tracking deadlines, processing output files with scripts, maintaining documentation, and coordinating stakeholder handovers. The role requires strong Excel skills, attention to detail, organisation, communication, and comfort handling large volumes of content and data. Shopify, Asana, Python, CMS, ecommerce, localization, or translation workflow experience is desirable.

Provide privacy advisory and compliance consulting across multiple client sectors. Responsibilities include privacy gap analyses, audits, DPIAs, policy development, AI privacy assessments, supplier due diligence, breach response, regulatory communications, data subject rights requests, reporting, training, and stakeholder advice. The role requires translating privacy risks into practical business decisions while collaborating with legal, information security, and operational teams.

Designs, delivers, and optimizes scalable cloud-based data platforms and solutions. Responsibilities include building ingestion, transformation, modeling, and integration pipelines; ensuring performance, security, governance, reliability, and data quality; collaborating with analysts, scientists, architects, and project managers; supporting feature engineering and analytical projects; implementing monitoring, testing, CI/CD, documentation, and data lineage; and troubleshooting complex data and infrastructure issues.

Designs, develops, tests, deploys, and supports Databricks-based data products and scalable ETL/ELT pipelines. Uses PySpark, Spark SQL, SQL, Python, Azure, and Power BI to build curated datasets for reporting, analytics, and operational decision-making. Responsibilities include data quality, reconciliation, monitoring, optimization, documentation, governance, production support, and collaboration with architects, analysts, and stakeholders.

Manages technology platforms, system configuration, data integrity, access controls, dashboards, integrations, and technical support across JLL and client systems. The role monitors system performance, automates validation and reporting workflows, supports cybersecurity compliance, configures locations and user permissions, coordinates vendors and IT teams, manages equipment and training processes, and leads technology upgrades, change initiatives, and process improvements.

Represents the Aircraft Maintenance Manual product across international authoring teams. Translates product definitions and technical authoring rules into operational guidance, performs quality checks, reviews rejected work orders, coordinates transversal deployments, tracks progress, and leads corrective actions. The role requires technical adaptability, cross-cultural collaboration, strong communication, autonomy, attention to detail, and fluent English, with additional European languages beneficial.

Leads UK regulatory compliance and privacy oversight, serving as the Data Protection Officer. Responsibilities include DPIAs, privacy risk assessments, breach governance, data subject rights, compliance monitoring, control reviews, audits, regulatory inquiries, management reporting, issue remediation, and translating requirements into governance standards. Partners with Legal, Product, Engineering, Operations, Risk, and Compliance teams to strengthen the UK compliance framework and oversee consumer protection, conduct risk, and vulnerable customer programs.

Designs, develops, and supports secure cloud-based data integration solutions using Microsoft Fabric and Azure. Responsibilities include client discovery, requirements gathering, ETL and ELT development, REST API and SFTP integrations, data pipeline implementation, production monitoring, incident investigation, and reliability improvements. The role collaborates with architects, analysts, project managers, and delivery teams across multiple client engagements.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Design and deliver secure, scalable Azure data platforms for global enterprise customers. Lead architecture engagements, roadmaps, proofs of concept, pilots, and production deployments across Microsoft Fabric, Azure Databricks, databases, governance, and AI workloads. Own technical delivery, workload health, resiliency, security, capacity optimization, and adoption outcomes. Resolve technical blockers, collaborate with product and engineering teams, develop reusable implementation assets, and mentor others while enabling Azure consumption and production-scale AI scenarios.

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Designs, builds, and maintains scalable data pipelines supporting data science and advanced analytics. Manages reliable Airflow orchestration, delivers data engineering solutions using Databricks, and contributes to GitHub-based collaborative development, code reviews, and engineering standards. Partners with data scientists, supports controlled feature-led delivery, investigates root causes, and develops practical solutions. The role also values adaptability, continuous learning, and exposure to MLOps concepts and tooling.