Top Data Jobs in Bristol

Collect, QC, standardize, and enter energy industry data into a GIS database for a regional area. Produce regional maps and editorial outputs to deadlines, assist regional experts sourcing activity across oil, gas, and renewables, and support client interfacing and product promotion.

Lead strategy and delivery for a diabetic eye screening SaaS product: own roadmap, research, go‑to‑market, backlog, releases, stakeholder engagement, KPIs, and third‑party management while working cross‑functionally to improve patient and customer outcomes.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Lead applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.

Own commercial growth for a strategically important enterprise account: build executive relationships, execute multi-year account plans, win new business, translate technical propositions into commercial cases, manage account marketing and governance, maintain pipeline and forecasting, and coordinate local GTM teams to drive predictable revenue growth.

The Enterprise Account Executive will drive new enterprise revenue, engage with senior decision-makers, and execute growth strategies for Data and AI training solutions.

Use data analytics to detect, investigate, and prevent financial crime. Collect, clean and analyse large datasets, support fraud detection and monitoring, build statistical and ML models, produce visualisations and present findings to senior stakeholders, and collaborate with IT, legal and compliance on investigations and controls.

Design and deploy production data pipelines on AWS from ingestion to consumption. Process large structured and unstructured datasets, integrate multiple sources, write scripts and SQL, and use Java/Python/Scala and Spark to build ETL, data lake and warehouse solutions while collaborating with cross-functional teams.

Lead electrical design and delivery for data centre projects across feasibility to handover. Define power architectures, run power system and protection studies (ETAP/SKM), integrate BMS/EPMS/SCADA, embed decarbonization and energy-efficiency measures, ensure compliance with standards, coordinate multidisciplinary interfaces, mentor teams, shape strategy and support business development.

As a Data Architect, you will define data architectures, manage data transformation, develop solutions, and lead teams in delivering complex data projects while collaborating with clients and stakeholders.

Lead design and delivery of GCP-based data solutions: build production data pipelines with Dataflow/Dataproc/BigQuery, design storage and architecture, implement CI/CD and data quality controls, mentor engineers, and drive standards, stakeholder alignment, and agile delivery.

Apprenticeship supporting day-to-day HRIS (HiBob) administration, data governance, integrations, data clean-up, audits, and reporting. Work with HR and Data teams to maintain data quality, document integrations, handle user access, respond to queries, and support workforce metrics and job levelling.

Deliver data protection and privacy consulting for private-sector clients: advise on GDPR/CCPA and frameworks, configure and integrate OneTrust, design consent management, tailor privacy processes to business models, and communicate privacy requirements across business, legal, IT and security stakeholders.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Design, build and optimise ETL/ELT pipelines and data foundations across enterprise systems. Profile, cleanse, map and reconcile data, implement quality frameworks, develop scalable data models on cloud platforms, and work with stakeholders to establish repeatable data architecture, governance and reporting for transformation programmes.

Design and govern end-to-end data architectures and standards, guide technology selection, lead large data migrations to cloud-native platforms, enable real-time data services, mentor engineers, and ensure secure, scalable data solutions that support AI/ML workloads.

Hunt and close new enterprise Data & Analytics consulting deals (£500k+), owning full sales cycles with partner-aligned pipeline. Build relationships with C-level stakeholders and partner account teams, qualify opportunities with MEDDPICC, forecast accurately in Salesforce, and collaborate with delivery to shape commercially-sound Statements of Work. Attend partner and industry events to generate introductions and grow Snap's market presence.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

Lead design, build and delivery of secure, scalable data integrations using Azure Integration Services, Python and .NET. Provide delivery leadership across workstreams, define integration architecture and standards, mentor team members, assure quality, manage risks and dependencies, engage senior stakeholders, and support commercial growth and capability building.

Hands-on, client-facing senior data analyst who profiles and investigates large production datasets, diagnoses anomalies, sizes risk, guides data engineers, shapes requirements with stakeholders, and presents actionable insights while navigating governance for sensitive data.

As an Associate Director, you'll lead HV substation design for data centres, manage technical discussions, ensure quality delivery, and mentor junior engineers.

On-site mechanical quality coordinator for a large data centre construction project: oversee mechanical construction, review and approve ITPs and checklists, verify works against standards, develop QA/QC checklists in BIM, witness commissioning (HVAC, pumps, piping, fire protection), ensure contractors complete BIM 360 records, verify calibration and as-built/red-line accuracy, escalate and drive resolution of quality issues, and promote continual improvement.

Ensure quality, consistency, and governance of enterprise master data through data analysis, reporting, and collaboration. Perform data mining, identify quality issues, develop dashboards, run system queries, maintain data, support supplier outreach, and meet SLAs while supporting business initiatives and process improvements.