1 to 25 of 47 Remote/Hybrid SQL Jobs in Scotland

understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation, attribution, funnel analysis, and campaign performance measurement.· Basic proficiency in SQL and/or programming languages such as Python or R, with a strong motivation to develop deeper data engineering and analytics skills.· Familiarity with data ...

limits of what’s possible Here’s what we’re looking for: Analytics & Data Skills:Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling.Experience with data integration and ETL processes; familiarity with PMO systems like PRISM, Primavera and Aconex is a plus.Problem ...

with Power Query and Macros . You should also be comfortable using data analysis and manipulation tools and technologies such as Power BI, Access, SQL, R and/or Python . You will also have: Experience gathering, managing, manipulating, and analysing complex and sensitive data. Experience working with large-scale ...

with Power Query and Macros . You should also be comfortable using data analysis and manipulation tools and technologies such as Power BI, Access, SQL, R and/or Python . You will also have: Experience gathering, managing, manipulating, and analysing complex and sensitive data. Experience working with large-scale ...

with Power Query and Macros . You should also be comfortable using data analysis and manipulation tools and technologies such as Power BI, Access, SQL, R and/or Python . You will also have: Experience gathering, managing, manipulating, and analysing complex and sensitive data. Experience working with large-scale ...

does both. What you will gain CompTIA Data+ Certification - internationally recognised, employer respected Microsoft Certifications - from an official Microsoft Partner Excel, SQL, Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing ...

related field is preferred. 5+ years of professional experience as a Data Architect, Enterprise Architect, or a similar role. 10+ years of experience with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue ...

Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure ...

such as Adobe Experience Platform (AEP), Salesforce Data Cloud, Salesforce Marketing Cloud, or equivalent marketing technology solutions.· A basic understanding of data concepts including SQL, databases, and APIs, with an enthusiasm to develop deeper technical knowledge over time.· Developing communication and interpersonal skills, with the ability to engage professionally with ...

Experience collaborating in multi-disciplinary teams Passion for transport, infrastructure, or solving complex real-world problems through data (Desirable) Knowledge of Python, R, or SQL for data transformation (Desirable) Familiarity with GIS or geospatial data visualisation Personal Attributes: Analytical mindset with a focus on data accuracy and quality. Strong problem ...

task management. - Experience of fast-paced retail environments, with an understanding of retailer needs in relation to FM and the importance of data. - SQL analysis skills. - Advanced Excel skills, including in-depth knowledge of complex formulas and data analytics. - High proficiency in Microsoft Power BI, with the ability to build ...

Utilize AWS services to build and deploy cloud-based solutions, ensuring high availability and scalability.Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance.Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently.Code Quality: Ensure code quality through code ...

you.And any experience of this would be really usefulEthical and responsible use of AI and machine learning technologies.Infrastructure as Code practices.Git source code management.Complex SQL query development.Continuous Integration and Continuous Delivery (CI/CD) pipelines.Agile delivery approaches including Scrum and Kanban.Container technologies such as Docker and Kubernetes.About working for usOur ...

including predictive modelling, cost forecasting, and trend identification.Advanced proficiency in controls software (e.g., Power BI, PRISM, Primavera, Aconex) and data manipulation tools (e.g., Python, SQL).Project Controls Mastery:Deep understanding of project controls disciplines, including cost management, schedule performance, risk management, and Earned Value Management (EVM).Skilled in designing integrated ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.You can understand client challenges ...

MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.You can understand client challenges ...

cloud platforms to ensure data quality, availability, and scalability.Develop and maintain data models, schemas, and data governance frameworks to support analytical and operational needs.Utilise SQL and scripting languages (Python or R) for data extraction, transformation, validation, and integration across diverse data sources.Project Management & Stakeholder EngagementManage project timelines, scope, and deliverables … optimising ETL/ELT processes.Hands-on experience working with cloud platforms (GCP, AWS, or Azure) for data storage, processing, and analytics services.Proficiency in SQL and at least one scripting language (Python or R) for data manipulation, analysis, and automation.Skilled in modern analytics and BI/reporting tools (e.g., Power ...

throughput, and failover handling.Experience developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes.Solid application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ.Experience with the Spring framework and Spring Boot technologies.Experience in Java REST API development ...

place for everyone.What we’re looking for? A strong applied knowledge of statistical modelling e.g. regression or decision treesProficient in a coding language (e.g. SQL, SAS, Python) to manipulate data and produce insight using predictive analytics techniques. Training and support will be provided for the specific tools required ...

Hands-on experience with Kafka, Apache Flink, or equivalent real-time event-streaming platforms. Containers & Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation & Monitoring: Strong focus on automated testing, automated release pipelines, and observability tools (Grafana, Prometheus). Mindset: Delivery-focused problem solver with ...

personal projectsAn understanding of Java or a similar object-oriented programming language, and an interest in developing backend services and APIsFamiliarity with databases and SQL, with an interest in learning more about data modelling, performance and scalingAwareness of common data structures, algorithms and software design principlesAn interest in distributed systems ...

Significant experience with SAS; in a regulated environment or clinical research organization experience preferred • Demonstrated experience in SAS is required; including SAS macros, arrays, SQL, SAS Graph, and; knowledge with different output formats (e.g., .rtf, .xml, .xpt). • Proficiency with a programming language other than SAS (e.g., .NET ...

capacity management Strong technical experience with IBM GPFS/IBM Storage Scale Kubernetes, OpenShift, Docker or other container platforms Azure, AWS or GCP SQL and object-oriented programming NetApp, HDS, EMC, Brocade or Veritas technologies Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from ...

attached tothe role on our careers site Careers |Ashurst Perkins CoieAbout you:The successful candidate will have:Knowledge of web based softwarearchitecture and designMicrosoft SQL scripting and ServerExperience using Microsoft toolsand programming languages such as .NET framework (PrimarilyVB.NET) and XML related technologies including XSLT and XPath Ability to communicate effectivelywith ...

this role, you'll be responsible for producing insightful reporting and dashboards from multiple data sources, leveraging tools such as Power BI, Excel, SQL, and Azure DevOps. You'll transform complex data into meaningful insights for senior stakeholders, support project and workload management activities, and help ensure our E2Ereporting … experience required for this role include: Power BI, including dashboard development, data modelling, and report optimisation. Microsoft Excel and advanced data analysis techniques. SQL and data extraction/reporting tools. Azure DevOps, Jira, or similar workflow and backlog management platforms. Producing executive-level reporting and communicating technical information ...