10 of 10 Permanent Big Data Jobs in Scotland

Description As a Data Solutions Architect you'll work closely with key stakeholders to map out their data/insights requirements and develop roadmaps and design architecture which you'll communicate effectively to the project teams, implementation teams and end-users - leading top quality solutions design and delivery. Requirements Strong experience as a Cloud data architect Skilled … one or more of the following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of big data frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience … using languages such as Python & Bash etc. ETL and workflow management knowledge Experience of Agile methodologies Experience in the Financial Services Sector Data Engineering or Data Science experience Job responsibilities Interface with client project sponsors to gather, assess and interpret client needs and requirements. Define architecture vision, roadmaps and strategy while engaging relevant stakeholders to execute. Work across More ❯

Job Description: Your Impact As a Software Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system to meeting growing demands on ingestion and processing pipelines. To … succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. Key areas of responsibility. Orchestration ingestion and storage of raw data into structured or unstructured solutions. Design, Develop, Deploy and Support data infrastructure … pipelines and architecture. Implement reliable, scalable, and tested solutions to automate data ingestion. Development of systems to manage batch processing and real-time streaming of data Evaluate business needs and objectives. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Combine raw information from different sources. More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality … on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and … AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices and learn More ❯

Enterprise AI Value Strategy Team Lead/Consultant Mid-Level Full time Job Role : Data & AI Consultant - R&D Location: London/Manchester/Edinburgh Career Level : Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With … and live. It is personal to all of us." - Julie Sweet, Accenture CEO Our Team The Life Sciences industry is experiencing a period of rapid transformation. Advances in AI, data science, and digital platforms are fundamentally reshaping how organisations discover, develop, and bring therapies to patients. At Accenture, we sit at the heart of this evolution-partnering with the … world's leading pharmaceutical and biotech companies to reimagine R&D for a more predictive, efficient, and patient-focused future. Our Data & AI R&D team within the Strategy & Consulting practice is driving this change-combining deep scientific and clinical knowledge with cutting-edge technology and analytics to solve some of the industry's most complex problems. Whether optimising More ❯

the customers in operations and within the team, while owning deliverables end-to-end is expected. Critical to the success of this role is your ability to work with big data, contribute to the building of solutions both in terms of back- & frontend, develop insightful analysis, communicate findings in a clear and compelling way and work effectively as … managers and partner with Operations, Finance, Technology, Change Management and Customer Experience teams in understanding the business requirements and implementing solutions to support analytics and reports. • Conduct ad hoc data analysis and data quality investigations. • Implement training and documentation solutions that enables stakeholders to get the most out of our tools. • Develop and support the analytical technologies that … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

for a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Opportunity to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

for a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

for a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

Salary: Up to £25,000 per annum + OTE £30,000 + Benefits Job Description: You will become proficient in a variety of tools across topics such as data-focused coding, data visualisation, Cloud Services, Big Data, and Machine Learning. The role offers versatility, including but not limited to positions like Data Engineer, Data Analyst, Data Scientist, and Information Engineer. Your responsibilities include designing, building, maintaining, and troubleshooting data pipelines that enable organizations to store, process, and analyze data. Ensuring data reliability through testing and debugging will be key, along with optimizing pipelines for scalability and performance. You will handle large sets of structured and unstructured data, ensuring data is organized and accessible for analysis and investigation. Collaboration is essential; you may work with engineers, developers, data scientists, analysts, and stakeholders to understand their data needs. Experience and Qualifications: Proficiency in Python or similar programming languages is required. A passion for technology and a desire to develop advanced programming skills are essential. We value candidates who More ❯