Top Data Jobs in Edinburgh

Monitors and maintains client asset and securities data, validates accuracy against market sources, evaluates data vendors, and supports reference data products. The role responds to data inquiries, documents workflows, performs basic SQL analysis, maintains real-time investment data, ensures risk and control compliance, and analyzes information flows between accounting and custody systems. It also develops expertise in fixed income, equities, corporate bonds, and related investment processes.

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 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.

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.

Build and maintain production-quality data models and reusable analytical datasets using SQL and DBT. Collaborate with product, engineering, operations, and client-facing teams to translate business needs into scalable data solutions. Define metrics and modelling standards, improve documentation and data self-service, and support real-time and incremental processing using Kafka, AWS MSK, MongoDB change streams, and related technologies.

Lead end-to-end pursuit and bid management for Arcadis’s Technology and Data Centre sector. Responsibilities include client and subcontractor engagement, pursuit planning, proposal development, win strategy creation, resource coordination, commercial strategy, presentation preparation, submission reviews, and post-selection debriefs. The role also drives continuous improvement in pursuit processes and collaborates with finance, legal, technical, and commercial stakeholders to improve win rates.

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 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.

Conduct research and quantitative analysis across wholesale financial markets using large regulatory datasets, including transaction-level trading and derivatives data. Develop reproducible analytical code, identify market risks, evaluate regulatory outcomes, and produce evidence-based insights for policy and supervision teams. Collaborate with market experts and stakeholders, communicate complex findings clearly, and contribute to both ongoing research projects and time-sensitive market analysis.

Lead mechanical engineering design and technical delivery for mission-critical data centre projects. Develop cooling, ventilation, automation, controls, and ancillary systems while coordinating with electrical and multidisciplinary teams. Produce and review detailed designs, supervise engineers, allocate resources, manage deadlines, support client relationships, and apply building physics, CFD, sustainable design, CAD, BIM, and parametric tools.

Responsible for electrical safety across HV, MV, LV, and ELV data-centre environments. The role develops and manages energisation strategies and electrical safety plans, audits switching operations and safety documentation, verifies isolation and earthing, issues high-voltage permits, and ensures compliance with regulations and site procedures. It also involves client coordination, operational issue resolution, mentoring, outage-programme support, incident follow-up, and extensive international travel to Finland on 11/3 rotations.

Supports clinical data management activities for clinical trials, including maintaining eCRFs and validation specifications, reconciling clinical and third-party data, tracking study metrics, resolving data questions, and identifying root causes of data issues. The role is office-based in Livingston and suited to recent graduates or early-career professionals with relevant life sciences or healthcare education.

Design and maintain a trusted, secure, governed database of livestock data from low- and middle-income countries. Clean, harmonize, document, and structure complex datasets to support evidence-based decision-making and AI-ready insights. The role leads data quality and governance practices across complex, regulated data environments and requires strong organisation, attention to detail, and a service-oriented approach.

Designs, builds, and maintains production data pipelines using Microsoft Fabric, Python, and PySpark. Owns architecture, data modeling, CI/CD, reliability, troubleshooting, and technical decision-making. Collaborates with architects, product teams, and clients to translate requirements into robust solutions while mentoring junior engineers and improving engineering practices.

Lead the technical direction of client data engagements, designing Microsoft Fabric and Azure data platforms, pipelines, models, testing, CI/CD, and operational practices. Manage and technically guide data engineers while remaining hands-on with complex challenges, incident response, and troubleshooting. Translate client requirements into technical roadmaps, collaborate with stakeholders, and ensure high-quality, commercially sound delivery using Python, PySpark, SQL, and modern data architecture patterns.

Produces regular people reporting, analyzes workforce data, responds to insight requests, performs data quality checks, and supports dashboards and data governance. The role translates HR data into clear insights for non-technical stakeholders, collaborates with HR Systems and People teams, and contributes to improved reporting processes and strategic workforce decisions.

Oversee quality assurance and quality control for CSA construction activities on a major data centre project. Responsibilities include reviewing ITPs and checklists, verifying workmanship and compliance with specifications, managing BIM 360 quality records, tracking defects and as-built documentation, supporting commissioning, and signing off completed works before energisation. The role requires on-site presence in Finland or recurring international travel to Norway on an 11/3 rotation.

Lead commercial delivery for major data centre construction projects in the Nordics. Responsibilities include managing complex projects and commercial workstreams, supervising cost and commercial specialists, overseeing contract compliance, quality assurance, client reporting, stakeholder relationships, team development, and improvements to commercial management systems and processes. The role may require significant international travel to Norway or Finland.

Participate in a 12-month data science graduate programme, developing models and AI solutions across their full lifecycle. Apply statistical analysis, machine learning, data visualization, and cloud technologies to complex business problems. Collaborate with engineers, analysts, and cross-functional teams to generate actionable insights while developing expertise in responsible AI, data privacy, and customer-focused innovation.

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.

Own finance-focused data science and analysis, including revenue and ARR reconciliation, cohort economics, pricing experiments, forecasting, and scenario modeling. Partner with Analytics Engineering to maintain certified finance KPIs and ensure data quality across billing and revenue systems. Translate ambiguous questions from FP&A, RevOps, and leadership into reusable analyses that support planning, board reporting, pricing, and IPO readiness.

Lead the design, development, and operation of scalable data pipelines using Databricks and Azure Synapse. Administer Azure data platform services, Databricks workspaces, security controls, networking, and governance. Manage infrastructure as code with Pulumi or similar tools, build CI/CD automation, monitor platform health, resolve incidents, and mentor junior colleagues while maintaining secure and reliable cloud data environments.

Provides privacy and data protection consulting to multiple clients, covering privacy audits, gap analyses, DPIAs, policy development, AI privacy assessments, supplier due diligence, breach response, regulatory communications, data subject requests, training, and risk reporting. Advises business, legal, and information security stakeholders across varied sectors while managing client engagements and a small consulting team.

Designs, develops, and maintains scalable data structures, models, and automated pipelines for analytical and reporting needs. Integrates multiple source systems, transforms data into reusable datasets, monitors data quality, and implements validation and reconciliation processes. Collaborates with analysts and stakeholders to translate reporting requirements into datasets, maintains data documentation and lineage, and improves automation and efficiency. This is a UK-based remote role with occasional onsite attendance.