Top Data Jobs in Edinburgh

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.

Own and operate Databricks production data pipelines for a predictive CRM platform: monitoring, incident response, cost and performance optimization, migrating legacy ETL, onboarding customers, enforcing Delta Lake architecture and multi-tenant isolation, and applying CI/CD, security, and observability best practices to ensure reliable, scalable data delivery.

Design, build, and scale cloud-native data warehouses and robust ETL/ELT pipelines (primarily BigQuery). Optimize performance, implement partitioning and cost controls, ensure data governance, observability, and regulatory reporting support, and collaborate with analytics and engineering stakeholders.

Serve as owner's representative for hyperscale data centre projects across pre-construction, construction and close-out: lead master schedule and budget creation, support contractor procurement and contract negotiations, manage general contractors and owner-direct vendors, coordinate value engineering, monitor budget and schedule, and drive close-out documentation and authority inspections.

Lead MEP cost and commercial delivery for large data centre projects in the Nordics. Manage teams, client reporting, contract compliance, cost analysis, stakeholder engagement, and drive process improvement and innovation.

Manage HV electrical packages for hyperscale data centre construction across pre-construction, construction, and close-out. Coordinate contractors and owner-direct vendors, support bid and contract processes, track schedule and budget, drive value engineering, and ensure completion of close-out documentation and authority inspections. Significant international travel to Finland and familiarity with local legislation required.

Lead quality management for a large Nordic data centre construction project: develop and deliver the Quality Management Plan, coordinate client and contractor quality teams, manage on-site/off-site testing and Factory Witness Testing, oversee construction documentation via the client EDM system, ensure contract specification compliance, and promote a project-wide quality culture and induction training.

Lead Quality Management for a major data centre construction project: develop and deliver the Quality Management Plan, interface between client and contractors, organise and record quality events, ensure contractor QC plans meet contract requirements, manage factory witness testing and off-site quality activities, and promote/train a project-wide quality culture.

Manage electrical packages for hyperscale data centre construction through pre-construction, construction, and close-out. Responsibilities include schedule and budget development, contractor procurement and management, value engineering, contract support, close-out documentation, and coordination with clients, vendors and authorities. Significant international travel to the Nordics required.

Manage mechanical aspects of hyperscale data centre construction from pre-construction through close-out. Duties include master schedule and budget creation, contractor pre-qualification and management, contract support, value engineering, budget and schedule tracking, close-out documentation, and coordination of owner-direct vendors and inspections.

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.

Support data management and governance by managing data assets, ensuring data quality, standards, and policies; publish and protect data for analytics; contribute to analytic platforms and reporting solutions; work on moderately complex projects with general guidance.

Lead needs assessments and stakeholder engagement to design a centralized conservation data system. Advise on technical platform options, collaborate with IT, produce reports and presentations, and drive adoption across portfolios. May lead project teams and support adaptive management through data strategy and implementation.

Lead global market intelligence for Iron Mountain Data Centers by analyzing macro trends, cloud architectures, and power constraints; build GIS-based site selection tools; embed market data into underwriting and financial models; deliver investment recommendations and standardized market frameworks to executive leadership.

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.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

The role involves developing go-to-market strategies for VAST Data within the UK Defence & Secure Government sectors, building relationships with key stakeholders, identifying and closing strategic sales opportunities, and representing the company at industry events.

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.

Lead end-to-end development and productionisation of time-series forecasting ML solutions: design, train, deploy models, build cloud-native data pipelines, collaborate with stakeholders, and monitor model performance to optimise clinic scheduling and staffing.

Lead end-to-end SAP S/4HANA data migration activities: define strategy and governance, manage mapping, cleansing, ETL and reconciliation, execute mock and production loads, resolve defects, coordinate with testing and business teams, and support cutover readiness.

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.

Lead UK account strategy and growth for data center customers, build and sustain strategic client relationships, own pipeline and forecasts, drive capture teams and must-win pursuits, support cross-functional solution proposals, and travel domestically (~35%).

Lead UK sales strategy for data center customers, develop strategic relationships with hyperscalers and colocation providers, manage pipeline and forecasting, coordinate cross-functional pursuit teams, and drive profitable growth through customer engagement, specification, negotiation and long-term account development.