Top Data Jobs in Edinburgh

The role involves providing support for BlackRock's data platform, addressing client inquiries, enhancing observability, and automating workflows.

Support product idea intake, gather requirements, manage product backlog, engage stakeholders, and promote the product roadmap within asset management.

Lead the development of the Fusion Data Management Platform, advocate for product capabilities, and collaborate across teams to drive strategic initiatives.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Director of Data & Analytics will lead a multidisciplinary team, unify the analytics strategy, and oversee data governance and platform evolution to enhance decision-making and business impact at MacPaw.

The Senior Solution Consultant provides technical support to clients, leads presentations and workshops, mentors junior consultants, and collaborates on customer needs to drive satisfaction using Guidewire solutions.

As a Customer Success Manager, you will enhance customer relationships, ensure retention, drive upsell opportunities, and collaborate with teams to achieve client goals.

As a Senior Engineer in Data Onboarding, you'll enhance the onboarding experience for NG-SIEM customers, addressing data ingestion challenges and leading cross-team initiatives.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The ReEntry Program provides returning professionals a 15-week fellowship, leading to potential permanent roles in various technology sectors at JPMorganChase.

The Director of Government Sales will lead public-sector engagement in agriculture and disaster management, drive partnerships, and manage the entire sales cycle while representing Tomorrow.io globally.

Lead the research strategy for GenAI agents using LLMs, mentor teams, drive innovation, and align technical strategy with business goals.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

Lead petabyte-scale data ingestion for NG-SIEM, driving autonomous AI onboarding, collaborating across teams, and solving distributed system challenges.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

Lead the Vehicle and Asset Data Platform, defining its roadmap, optimizing data acquisition, improving data quality, and collaborating with teams to drive innovations in telematics.

Develop enterprise-grade data models for financial services. Conduct business analysis, design data models, support governance, and utilize modelling tools.

Lead complex data architecture initiatives for financial clients, focusing on cloud transformation and enterprise data strategies.

The Enterprise Account Executive will manage relationships with FTSE 100 companies, drive strategic growth, and manage high-value deals in the EdTech sector, focusing on delivering solutions for Data and AI transformation.

As a Sales Engineer at Zenity, you bridge technical solutions with customer needs, engage in community events, and collaborate with Customer Success for strategic use cases.

As a Data Quality Analyst, you'll develop dashboards and tools, manage data quality frameworks, and provide insights to improve decision-making and operational efficiency.

As a Data Apprentice at Lloyds Banking Group, you will learn data analysis, predictive modeling, and data visualization, gaining hands-on experience and progressing to a degree apprenticeship.

Lead the enhancement of order book data quality, policy development, and mentoring of staff while ensuring market integrity through data analytics and relationship building.

The Order Book Data Analyst will enhance order data accuracy, support regulatory initiatives, and advise stakeholders on market integrity while collaborating with trading venues.

The Senior Data Engineer will develop a centralized data model, improve data quality, mentor juniors, and ensure data governance compliance.