Top Data Jobs in Edinburgh

Maintains and analyzes investment data for clients by organizing raw data, building data systems and pipelines, integrating multiple sources, and improving data quality. Develops analytical tools, performs data mining, creates visualizations and reports, and collaborates with architects, product teams, clients, and project managers to meet business requirements.

The Assistant Professor will develop an internationally recognised research programme, publish impactful work, secure external funding, and build industry partnerships. Responsibilities include designing and delivering undergraduate and postgraduate teaching, curriculum development, student assessment, PhD supervision, mentoring, knowledge transfer, enterprise, outreach, and departmental administration. The role also involves contributing to equality, diversity, inclusion, strategic initiatives, and a supportive academic community.

Designs and optimizes scalable data pipelines and data solutions supporting actuarial modeling and assumption setting. Ensures data quality, governance, validation, monitoring, and audit controls across complex financial-services datasets. Translates business requirements into technical solutions, integrates data sources, applies machine learning and advanced analytics, and improves platform performance. Provides technical guidance, reviews code and analysis, coaches junior colleagues, and contributes to data engineering standards and continuous process improvement.

Lead the engineering, automation, security, resilience, and lifecycle management of enterprise data platforms across cloud and on-premises environments. Provide technical direction, improve platform reliability and performance, develop Infrastructure as Code and operational standards, resolve complex incidents, evaluate technologies, and mentor engineers. Work with customers and vendors to ensure effective platform adoption and participate in critical-service support arrangements.

Lead definition, monitoring and reporting of Group financial crime KRIs and tolerances. Drive data quality, investigations and MI for AML, sanctions, fraud and CDD. Partner with technology and business units to maintain data infrastructure, implement automated reporting, enhance controls and deliver dashboards and governance across the organisation.

Lead analytical projects using large behavioral datasets to support Ofcom’s regulatory, policy, and enforcement work. Build robust, documented processes for data ingestion, cleaning, processing, analysis, and visualization. Produce reproducible statistics and insights, manage project delivery, collaborate with internal teams and external data providers, and contribute to communications market reporting and other research activities.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

Own enterprise customer programs from contract signature through expansion, leading delivery teams, milestones, stakeholder communication, adoption, and change management. Partner with sales and customer success to scope engagements, identify expansion opportunities, and translate executive goals into executable AI implementation plans. Serve as the customer advocate internally while guiding solutioning across model development, deployment, governance, and enterprise data science workflows.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Lead a team of 10 Data Security Specialist Account Executives across EMEA and APJ. Responsibilities include recruiting and coaching sales talent, managing regional business plans and forecasts, collaborating with sales, marketing, product, services, and partners, and driving revenue attainment. The role requires software or security sales experience, data security leadership, regional management, C-level selling, and familiarity with AI/ML technologies.

Owns data quality, reporting, analytics, and deal-management data for a private companies investment team. Builds and improves Power BI dashboards, reconciles investment and financial data across systems, identifies insights and risks, and supports decision-making. The role also manages data models, reporting processes, transaction records, and continuous improvement initiatives across platforms including iLevel and Snowflake. It requires strong stakeholder collaboration, financial data analysis, and practical automation and AI exploration.

Leads mechanical engineering delivery for complex data centre projects, designing resilient cooling, ventilation, automation, controls, and ancillary systems. Coordinates with electrical disciplines, manages engineers and resources, checks technical work, produces detailed designs, and oversees project timelines. The role requires client-facing leadership, technical supervision, design coordination, and knowledge of building physics, CFD, sustainability, and mission-critical engineering environments.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Reviews and validates commercial property data across shared databases and public and private sources, creates unified property models, improves data-change processes, and supports contractual reporting. The role coordinates with Estates, Data, Finance, compliance, facilities management, asset management, and strategy teams; records meeting actions; supports client communications; and conducts property inspections when required.

Leads cost and commercial management for major data centre construction projects, managing complex workstreams, client reporting, quality assurance, contract compliance, and service improvements. Supervises and develops cost specialists, supports project delivery, builds stakeholder relationships, and provides construction cost analysis and insights. The role requires substantial travel to Norway, potentially on a 50/50 rotation.

Oversee environmental, health, and safety performance for a major data centre construction project in Norway or Finland. Responsibilities include implementing EHS and security plans, verifying site procedures, holding managers and contractors accountable, monitoring performance indicators, investigating incidents, conducting audits and inspections, and ensuring corrective actions are completed. The role requires extensive EHS advisory experience on major construction projects and may involve significant travel on an 11/3 rotation.

Oversee mechanical construction quality across construction, commissioning, and handover phases for a major Finnish data centre project. Review ITPs, checklists, drawings, specifications, and BIM 360 records; verify workmanship, contractor compliance, equipment calibration, and as-built documentation. Identify and resolve quality issues, support commissioning of HVAC, pumps, piping, cooling, and fire protection systems, and sign off completed works before energisation. The role requires extensive construction quality experience, strong mechanical knowledge, and frequent Finland-based travel or rotation work.

Leads large-scale hyperscale data centre construction projects from pre-construction through closeout and fit-up. Responsibilities include managing schedules, budgets, contractors, vendors, procurement, contracts, HSE, quality control, commissioning, documentation, permits, and client relationships. The role coordinates multidisciplinary teams and Owner’s Representatives, supports commercial and contractual activities, and requires significant international travel to Nordic project sites.

Manage hyperscale data centre construction projects from pre-construction through closeout. Responsibilities include developing schedules and budgets, supporting contractor selection and negotiations, managing general contractors and vendors, coordinating value engineering, tracking costs and schedules, and overseeing closeout documentation, inspections, warranties, as-builts, and operations manuals. The role requires technical construction expertise, discipline management, and significant international travel to Norway on an 11/3 rotation.

Leads environmental, health, safety, and security strategy for a major Nordic data centre construction project. Responsibilities include governing the project EHS management system, overseeing contractors, reviewing RAMS, conducting audits and inspections, investigating incidents, ensuring emergency preparedness, monitoring performance metrics, and liaising with clients, executives, contractors, and regulators. The role requires senior leadership, strong construction or infrastructure experience, and preferably hyperscale data centre expertise.

Apply AI and machine learning to large, disparate datasets to detect fraud and cybersecurity threats. Build analytic solutions in Databricks using Python, SQL, and R; automate reusable pipelines; investigate stakeholder concerns; identify process gaps; recommend remediation; and communicate findings to technical and executive audiences. The role also involves directing specialized analytics teams and applying large language models to accelerate analysis and development.

Design, build, and optimize Phantom’s streaming blockchain data platform, including scalable ETL pipelines, data models, schemas, quality frameworks, observability, and high-availability systems. The role delivers accurate, low-latency token, price, and spam data to engineering teams, collaborates cross-functionally, and contributes to team growth. Experience with backend systems, modern data engineering, and Web3 or on-chain data is expected.

Design, develop, and maintain scalable data pipelines and architectures for analytics and reporting. Perform ETL and streaming data integration, data modeling, governance, quality management, and workflow optimization across cloud and big data environments. Translate business requirements into data solutions, monitor reliability and performance, and collaborate with stakeholders to advance Walmart’s data strategy.

Analyze internal and external education data for Camden’s Education Commissioning and Inclusion division. Responsibilities include statutory SEN2 returns, calculating education performance indicators, developing dashboards and self-service data products, delivering bespoke analysis for strategic decisions, and collaborating with data engineering and architecture colleagues to develop data infrastructure.