51 to 75 of 3,481 SQL Jobs in the UK excluding London

data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. Have obtained experience in working with large, complex datasets and performance optimization. Exhibit strong leadership and communication skills. Demonstrate previous experience More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal More ❯

across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for More ❯

using AVEVA Information Standards Manager or similar. IT Skills - Excellent working knowledge of databases and reporting A strong technical background in Oracle 12c, PL\SQL, ETL and data warehousing. Automation of processes using different scripting languages like PowerShell, CMD etc. Self-sufficient and be creative in defining reporting/data More ❯

pipeline implementation. Experience with API (RESTful/Socket/OpenQL), microservice architecture and development. Experience with cloud-native platform patterns. Technical Skills: Experience with SQL, including schema design and optimisation. Experience with testing frameworks and tools. Knowledge of CI/CD tools. Familiarity with security tools and practices. Experience with More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications; Essential; Technical and Analytical; Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

Experience in a similar role, emphasizing data analysis and product development. Solid understanding of data modelling, database design, and data integration techniques. Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI. Strong analytical and problem-solving skills, with the ability to translate complex data into More ❯

Health Data & Interoperability Standards: FHIR, HL7, DICOM, SNOMED CT, ICD-10. Cloud Platforms & Infrastructure: AWS, Azure, Google Cloud, NHS Cloud. Business Intelligence & Data Tools: SQL, Power BI, Tableau, Python, R, Snowflake. Healthcare Cloud: Data management: and data integration and knowledge of Palantir Foundry toolset. Data Management & Analytics – Experience handling large More ❯

Bonus + benefits 📍The role is hybrid, 2 days per week in the office 🚂 Closest stations are Liverpool Street 🧑‍💻 Power BI, DAX, Data modelling, SQL Responsibilities of the Business Intelligence Analyst include; performing a prominent role in the Data/BI centre of excellence, BI platform architecture, liaising with data … lines, advanced data modelling. Key Skills for the Business Intelligence Analyst • Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) • DAX expressions • Advanced SQL skills (SQL, T-SQL, PL/SQL) • Knowledge of Kimball data modelling methodology If you are interested in this Business Intelligence Analyst role, please reply More ❯

and integration of financial applications. Investran or similar platform certifications beneficial. Good working knowledge of Accounting Platform database structures and data models. Proficiency in SQL and data query languages to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity More ❯

a track record of successfully leading and delivering data analytics projects, with at least three years of experience in data and analytics. Proficiency in SQL and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation More ❯

on scalable architectures. Required Skills & Experience Experience: 3-5 years of hands-on experience with big data tools and frameworks. Technical Skills: Proficiency in SQL, Python, and data pipeline tools such as Apache Kafka, Apache Spark, or AWS Glue. Problem-Solving: Strong analytical skills with the ability to troubleshoot and More ❯

the boundaries of what’s possible with data analytics. What You Bring 5+ years in a Senior Data Analyst/Scientist role. Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia acceptable). Strong background in data modelling (dimensional modelling), warehousing, and transformation techniques. More ❯

interface technologies and languages, e.g. ReactJs , AngularJs , Typescript , JavaScript , CSS , and HTML5 Experience with user interface testing technologies, e.g. Selenium and Cypress Proficient with SQL and querying relational databases Experience with using Terraform to provision and configure infrastructure Experience with deploying and maintaining production workloads on the AWS public cloud More ❯

tools, including Power BI, Fabric, Azure Synapse, and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

tools, including Power BI, Fabric, Azure Synapse and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

tools, including Power BI, Fabric, Azure Synapse and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. • ??Database Knowledge: Skills in databases like SQL, NoSQL, or data analytics tool Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and More ❯

Relevant experience in Data Platform Technologies, including Understanding of Databricks architecture, including basic data warehousing concepts and data sharing capabilities The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating data Ability to analyse datasets and generate insights using Databricks analytical tools More ❯

experience is required: Strong data modelling, data warehousing and analytics background Excellent DevOps experience track record with ETL processes, and database design. Proficient in SQL and experience with various database technologies. Strong cloud platforms like AWS or Azure, particularly in data-related services. Background using Java and Python Excellent communication More ❯

Intelligence (BI) and Data Engineering skills Good knowledge across tools such as Power BI, Tableau, Qlikview etc Experience creating reporting and dashboarding solutions Great SQL skills and good knowledge across ETL and data warehousing Experience of Cloud (AWS, Azure, GCP etc) would be ideal Any Python scripting and coding skills More ❯

efficient web apps. Work Across the Stack - Frontend (React, Vue, or Angular) & Backend (Node.js, Python, Java, .NET). Database & API Development - Design and maintain SQL & NoSQL databases and RESTful APIs. Deploy & Maintain - Use Docker, Kubernetes, AWS, or Azure for scalable deployments. Collaborate - Work closely with product teams to turn ideas More ❯

Requirements: Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning More ❯

inquisitive, team player with 'can-do' attitude. Excellent attention to detail. Desired Skills Experience with star schema and multi-dimensional data modelling Proficiency in SQL, Python, or other languages in data analysis Experience with DBT and/or Snowflake More ❯