Top Data Jobs in Bristol

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, manage client relationships, and mentor data scientists.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

As an Innovative Project Planner, you will oversee project plans, ensuring efficient delivery through effective resource management, stakeholder communication, and the development of scalable solutions in complex construction projects.

The Innovative Planning Manager will enhance project delivery, manage project plans, create scalable solutions, report to stakeholders, and develop teams in complex construction environments.

As a Project Controls Manager, you'll enhance project delivery through effective cost, schedule, and risk control, while leading team development and creating scalable solutions.

As a Customer Data Solution Architect, you will design secure and scalable customer data solutions, providing thought leadership and ensuring compliance with design principles while collaborating across teams to enhance data strategies and analytics capabilities.

Design, deploy, and govern enterprise-scale data architectures and platforms to support analytics and AI. Define modeling standards, integration pipelines, data quality, lineage, and security. Lead technical direction, mentor engineers, evaluate AI tooling, and support proofs of concept and solution roadmaps that enable generative AI and RAG solutions.

Own and operate Databricks-based data platform production support, build and migrate ETL/ELT pipelines to Databricks across Azure/AWS, optimize compute and performance, enforce Delta Lake architecture and data security, implement observability and CI/CD, support multi-tenant onboarding and on-call incident response, and maintain runbooks and SLA metrics.

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.

Perform data profiling and validation for a large-scale public-sector data migration. Define and execute data quality rules, run SQL (MySQL) and stored procedures, test BI dashboards, document findings, and liaise with engineers and stakeholders to ensure accuracy, completeness, consistency, timeliness, validity and uniqueness of migrated data.

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Lead design, build, deploy, monitor and improve production ML/AI solutions (including LLMs, retrieval, ranking, recommender systems). Mentor and grow a team of five data scientists, set technical standards, collaborate with Product/Engineering/Design, and create reusable ML components and architectures.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.

Lead project teams in delivering bespoke algorithms, mentor other data scientists, and shape client relationships in the defence and national security sector.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

Short-term consultant to maintain WaterAid's research and data monitoring functions: manage the KRSP, integrate and format databases into the Statistics Bank/Power BI, update JMP/GLAAS WASH datasets, produce monthly KRSP usage reports, convene research clinics, and support research design, procurement and quality assurance over a four-month assignment.

Own product strategy, vision and roadmap for Fashion, Home & Beauty transformation. Act as voice of the customer, define OKRs, manage backlog, and deliver measurable outcomes. Collaborate with Product, Engineering, Data, Reporting and Transformation teams. Support DevOps adoption, operational readiness, incident triage and continuous improvement while driving product health and analytics.

Design, build, and maintain scalable ETL/ELT pipelines and modern lakehouse architectures. Optimize data solutions using Databricks, Spark, and AWS. Produce high-quality Python code, data models, and monitoring to ensure data accuracy, reliability, and performance. Collaborate with product teams, troubleshoot complex data issues, and improve infrastructure scalability.

Operate, maintain and optimise a pyrolysis plant; build and validate process models (Aspen); perform lab testing and material analysis; support commissioning, safety assessments (HAZOP), MRV systems and scale-up; develop SOPs and train site staff to deliver repeatable carbon-removal operations.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

The Senior Site Reliability Engineer will design and maintain a reliable data platform, develop data pipelines, automate processes, and ensure system observability while collaborating across teams.