Top Data Jobs in Edinburgh
The Data Science Manager in the Defence sector will lead large-scale AI and ML projects, providing expertise to data science teams while communicating with stakeholders. Responsibilities include overseeing data delivery, model development, mentoring team members, and ensuring adherence to architectural principles and standards.
As a Data Architect Manager at Kainos, you'll lead data architecture initiatives, focusing on data structures, flows, sourcing, and governance. You'll provide technical leadership, engage with clients to meet their data needs, and manage a small team, fostering their development while addressing complex data projects and challenges.
As a Senior Data Engineer, you will design and develop data processing software for large-scale solutions, ensuring software supports user needs and non-functional requirements while mentoring team members and maintaining high code quality.
As a Lead Data Engineer at Kainos, you will design and develop data processing software, lead agile teams, enforce best practices, and ensure operational readiness of applications while managing and coaching team members.
The Lead Game Data Analyst at Hypemasters will leverage data-driven insights to improve player experiences and optimize game performance. Responsibilities include collaborating with various teams to define success metrics, developing dashboards to monitor KPIs, and conducting A/B tests to drive strategic decisions.
The Senior Data Scientist will develop advanced algorithms for generative AI, conduct data analysis to derive insights, and train models in a collaborative environment focused on the shipping and industrial sectors. They'll stay updated on AI advancements and tailor solutions to specific industry challenges.
Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.
As a Data Engineer at ClearScore, you will maintain and optimize the Databricks instance, collaborate with teams to understand their data needs, integrate new data sources, and implement Infrastructure as Code. You'll also monitor performance and security in a dynamic environment, ensuring data availability and compliance.
As a Data Analyst at EFG, you will be responsible for understanding customer needs, driving data-driven decisions, and improving data quality and efficiency. You'll encapsulate business logic in the data warehouse, create analytical solutions, and develop visual storytelling through dashboards while inspiring and guiding team members.
As a Data Engineer at BJSS, you will build, optimize, and maintain data applications and systems. Your role will involve deploying data pipelines and processes, using technologies in the cloud, and ensuring reliable and efficient operations. You will work collaboratively within multi-disciplinary teams on various data projects, advocating for DataOps practices.
The Data Architect role involves leading delivery teams, mentoring staff, and engaging with clients to deliver data solutions using modern data warehousing, cloud services, and machine learning. The role focuses on deriving business value from data through Agile methodologies and DataOps culture, ensuring high-quality solutions that meet customer needs.
The Data Platform Architect at Groupon is tasked with designing, building, and maintaining robust data platform infrastructure. This role involves defining the architecture and technologies needed for data ingestion, storage, processing, and analysis, while ensuring platform performance and security across cross-functional teams.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.
As a Senior Data Quality Specialist, you will label, rank, audit, and correct machine learning data with a focus on science, logic, and math. You will evaluate text outputs and provide feedback to improve machine learning models, requiring meticulous attention to detail and a strong understanding of STEM subjects.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
The Data Engineer will build scalable data pipelines and design data architecture, including schemas. Responsibilities include developing CI/CD infrastructure, maintaining data APIs, and supporting AI components. The role demands collaboration with stakeholders and requires knowledge in data technologies and performance optimization.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.
The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.
The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
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