Top Data Jobs in Edinburgh

As a Principal Data Engineer, lead the design and development of high-performance data systems, ensuring reliability and scalability while leveraging Apache Kafka and cloud technologies.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Data Scientist will focus on product growth by analyzing user engagement and driving insights into activation, retention, and monetization across the Creative Platform.

The Channel Systems Engineer will support and train channel partners, ensuring effective positioning and delivery of VAST solutions while providing technical leadership and enabling business growth.

As a Senior Data Engineer at Trust Wallet, you'll design and maintain data infrastructure on AWS, develop data pipelines, and optimize data storage and governance processes for analytics and decision-making.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

Develop full-stack applications and data tools, manage ETL pipelines, and collaborate with product and marketing teams to integrate data for business insights.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

The Data Analyst will manage, analyze, and optimize large datasets for forecasting and modeling. Responsibilities include automating workflows, ensuring data quality, and delivering insights through collaboration.

As a Lead Data Scientist, you will design and deliver AI/ML solutions for Workday platforms, mentor your team, and lead analytics strategy.

This role involves managing complex sales cycles, building a self-sourced pipeline for AI products, and engaging with C-level executives in Western Europe to drive new business.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The Senior Research Data Engineer will architect data pipelines, manage data transformation, and collaborate with product and analytics teams to enhance health products.

Lead the development of machine learning models for AI-driven claims automation, collaborating with teams to deliver innovative solutions. Mentor junior team members and influence product strategy while staying updated on industry advancements.

Lead the product development lifecycle for Smart NIC and ToR switches. Drive product strategy, market engagement, and collaboration with teams to ensure successful product delivery and business outcomes.

The Lead Data Engineer will design and build scalable data systems, mentor engineers, and ensure efficient data architecture and infrastructure across Zego's data engineering function.

The Senior Data Engineer will architect scalable pipelines on AWS, analyze blockchain data, and collaborate with leadership on data-driven decisions.

The Senior Data Engineer will lead data architecture discussions, build reliable data pipelines, mentor team members, and ensure data quality across initiatives.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

Develop reliable tracking and analysis of customer usage metrics, empowering strategies for churn anticipation, expansion opportunities, and revenue growth.

Lead the EMEA data team to develop and enhance datasets for energy markets, ensuring quality and meeting client needs through collaboration and strategic direction.

As a Palantir Data Consultant, you will analyze business needs for data solutions, facilitate workshops, and manage stakeholder engagement, ensuring delivery in agile environments.