Top Data Jobs in Bristol

Manage customer data migrations and onboarding from initial handoff through completion. Responsibilities include mapping, analyzing, transforming, and importing complex datasets; coordinating with customers, engineers, and internal stakeholders; maintaining accurate records; resolving issues; and improving the onboarding experience. The role requires extensive Excel and database work, customer communication, project coordination, and management of multiple migrations simultaneously.

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.

Own the company’s end-to-end data platform, including ingestion, S3 data lakes, ClickHouse, dbt transformations, orchestration, and BI/CRM data delivery. Improve reliability, historical accuracy, cost, and metric governance while defining and defending business KPIs. Partner with Customer Success, Sales, Product, and leadership to translate business questions into durable metrics and establish data standards. This is a senior individual contributor role focused on hands-on engineering, analytical rigor, and stakeholder communication.

Build and launch scalable data pipelines, products, APIs, and tools for proprietary market research. Develop big data processing systems, reusable software components, AI-ready data assets, cloud infrastructure, and governance controls. Partner with investment professionals, researchers, data scientists, and Compliance to deliver reliable, auditable, compliant solutions while optimizing system performance, cost, and reliability.

Lead data integration activities for Kinaxis solution deployments, including data mapping, transformation, loading, testing, validation, system configuration, and deployment. Design integration solutions, define requirements, support customer workshops and training, and collaborate with architects, support, and cloud teams. Advise customers on integrating Kinaxis Maestro with enterprise systems using ETL tools, APIs, databases, and ERP connections. The role is remote in the UK and may require up to 70% travel.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

Leads UK and Ireland strategy for Customer Data Management, using customer, market, regulatory, competitive and commercial insights to define priorities. Shapes propositions, positioning, packaging and business cases; translates customer needs into product, data, technology and operational requirements; leads cross-functional initiatives; measures customer value; and supports Sales, Pre-Sales and Marketing with value propositions and market narratives.

Leads strategically important data science initiatives across complex business domains. Shapes data strategy, develops measurement frameworks, applies experimentation, causal inference, forecasting, optimization, and decision science, and partners with senior leaders to drive measurable outcomes. Remains hands-on with complex analyses, experiments, models, and prototypes while establishing technical standards, governance, reproducibility, and documentation. Coaches data scientists and analytics engineers and stewards critical data products end to end.

Lead product-focused data science work: run quantitative analyses and large-scale A/B tests, enable product teams with measurement, drive lifetime value analysis with finance, and partner with engineers to ensure correct data collection and actionable insights.

Lead the architecture and evolution of a Snowflake-based operational data platform. Design secure, governed, scalable data warehouse solutions, real-time ingestion, API integrations, AI-enabled capabilities, and natural-language querying interfaces. Define data flows, schemas, roadmaps, architectural standards, and governance while collaborating with engineering, data, business, and executive stakeholders. Troubleshoot complex platform issues, guide technical direction, and promote modern data engineering practices across enterprise systems.

Leads architecture and evolution of Snowflake-based operational data platforms, including real-time ingestion, AI-enabled capabilities, API integrations, data modeling, governance, and secure enterprise data flows. Partners with engineering, data, and business stakeholders to define roadmaps, standards, and technical direction while troubleshooting complex systems and communicating architecture decisions to technical and executive audiences.

Leads the design, development, testing, integration, and optimization of scalable data-processing and persistence components. Establishes engineering and operational standards, ensures pipeline performance and compliance, troubleshoots systems, supports proposals, and collaborates with architects, operations, security teams, customers, and managers. Coaches and develops engineers while overseeing code quality, data models, testing, deployment readiness, and technical delivery.

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.

Lead national business development for JDP’s UK data centre sector. Build relationships with developers, operators, consultants, contractors, and supply chain partners; secure product specifications and project opportunities; convert new business; manage the project pipeline and sales forecasts; and represent the company at industry events. The role sells drainage, ducting, cable protection, water management, and infrastructure solutions.

Manage end-to-end Data Subject Access Requests and other data rights requests, tracking statutory deadlines, locating and compiling customer data, applying redactions and exemptions, maintaining auditable records, and communicating outcomes to customers. The role also involves escalating complex cases, improving DSAR processes and tooling, collaborating across teams, and maintaining knowledge of UK GDPR, the Data Protection Act 2018, and ICO guidance.

Leads a 25+ person organization of data scientists, machine learning engineers, and analytics engineers across Identity and Financial Crime. Owns data quality, governance, lineage, observability, fraud and financial-crime models, production performance, monitoring, retraining, and domain data products. Partners with engineering, product, risk, compliance, legal, and central data teams; influences upstream teams, develops managers and senior ICs, handles incidents, and scales hiring and technical strategy.

Lead the design and delivery of enterprise data architectures, strategies, governance frameworks, cloud platforms, and analytics solutions for defence, government, and regulated-sector clients. Responsibilities include stakeholder engagement, requirements analysis, architecture documentation, technical governance, project lifecycle leadership, business-case development, and support for proposals and customer presentations. The role also contributes to data capability development, emerging technology evaluation, and AI-enabled transformation.

Own operational delivery for complex research customer projects, including participant acquisition, onboarding, verification, activation, quality monitoring, and supply development. Build project plans, workflows, playbooks, and scalable processes while optimizing participant funnels and operational metrics. Partner with product, data, science, and customer success teams to improve time-to-data, fill rates, participant quality, and customer outcomes across Prolific’s Research platform.

Develop statistical and machine learning models using soccer tracking and event data to support player recruitment decisions. Build spatio-temporal models, metrics, analyses, and interpretation tools; validate models; communicate findings to professional club clients; and partner with engineering on cloud deployment and production reliability. The role also includes code review, model maintenance, and advancing analytical methods.

Leads electrical design for hyperscale and mission-critical data centers across Europe. Responsibilities include managing HV/MV/LV systems, substations, utilities, consultants, permitting, project delivery, construction support, commissioning, and integrated systems testing. The role provides client-side technical leadership, reviews designs and project documents, coordinates multidisciplinary teams, manages risks and milestones, and ensures compliance with standards and operational requirements.

Lead delivery and ongoing ownership of a modern, cloud-based data platform. Define migration and integration roadmaps, manage programme delivery, embed data governance, support data engineering teams, drive adoption, and optimise reporting, analytics and data quality to enable business decision-making.

Support international sales teams by creating accurate quotes, managing discounts and deal flow, coordinating cross-functional approvals, tracking renewals, training sales representatives, and improving quoting workflows. The role partners with Sales, Finance, Legal, Product, and Customer Success to accelerate deals, ensure policy compliance, and optimize revenue operations processes.

Build and operate scalable cloud data pipelines, warehouses, transformation layers, and ML production systems. Lead data infrastructure architecture, warehouse performance optimization, DataOps monitoring, CI/CD improvements, data quality testing, and large-scale data product delivery. Collaborate across teams, promote data stewardship, and support batch and streaming pipelines while deploying, serving, and monitoring machine learning models.