51 to 75 of 2,049 SQL Jobs in the UK excluding London

platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground More ❯

and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using tools such as Power BI, Tableau, or similar platforms. Familiarity with cloud-based More ❯

for improvements Qualifications The Requirements: • Bachelor's degree in Computer Science, Data Science, or related field • Experience in data engineering, pipeline development, or ETL processes • Proficiency in scripting (Python, SQL) and data integration tools • Expertise with Microsoft Azure/Fabric for data storage and processing • Knowledge of corporate risk and broking (R&B) data needs • Experience delivering dashboards or visualizations More ❯

large-scale data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. More ❯

hybrid). Skilled in data visualisation and storytelling — able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI More ❯

Key Skills/Experience: Proven experience in development Strong knowledge of JavaScript (ES6+), asynchronous programming, and event-driven architecture. Experience with building and maintaining RESTful APIs. Solid understanding of SQL and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL). Familiarity with authentication and authorisation mechanisms (OAuth, JWT, etc.). Experience with version control systems like Git and GitHub/GitLab. Familiarity More ❯

ownership from design through to implementation Understanding of socket programming (TCP/IP) Basic knowledge of encryption principles Proficient in version control using Git Technical Skills: C# NET Core SQL (strong knowledge) Linq2DB, Entity Framework Core RESTful APIs RabbitMQ/Kafka CQRS pattern NuGet package development and management JavaScript Docker/Kubernetes Git/DevOps tools Additional Information Your impact More ❯

and verbal communication skills. You may also have: Experience implementing solutions using Azure data platform, particularly the use of data flows and source system connectors via Azure Data Factory. SQL and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R More ❯

or equivalent practical experience). Professional experience as a Full Stack Software Engineer, with a strong emphasis on Java (Java 11/17). Experience with relational databases (e.g., SQL, PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate, JPA). Solid understanding of front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). More ❯

to manage and mitigate cyber risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge of compliance, regulatory and statutory More ❯

as Python/NodeJS and frameworks like , Django, Spring Boot, etc. Expertise with at least one cloud platform and its related managed services. Knowledge of database systems, both relational (SQL) and NoSQL. Skills in UX design (Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures using both containerization More ❯

automation's. Excellent communication skills, comfortable working with technical and finance stakeholders alike. Desirable Skills & Experience Experience with system integration's and APIs. Background in software development or scripting (SQL, Python, JavaScript). Exposure to other business applications and willingness to support wider systems. Experience in a hybrid IT/Finance role. Why Join Us? Opportunity to shape and improve More ❯

Work across Azure, SharePoint, Power Platform, and broader Microsoft cloud tools. Act as the go-to BI contact, running stakeholder reviews and supporting self-serve usage. Desirable Skills Python, SQL, or data warehouse experience. Experience in the healthcare sector. THIS ROLE CAN BE BASED REMOTELY More ❯

on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi-structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvec More ❯

cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security More ❯

on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts, and distributed computing. Familiarity with More ❯

CI/CD) Strong understanding of Microsoft Fabric architecture and components Expertise in Microsoft Fabric Data Engineering Fabric Dataflows/Azure Data Factory Experience with Azure Synapse, Data Lake, SQL, and integration pipelines Desirable: Experience with other low-code or analytics platforms Knowledge of data governance frameworks and security models Microsoft certifications (e.g., Power BI Data Analyst Associate, DP More ❯

expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud More ❯

like Tableau, Sigma Qlik, Domo, Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across technical and non-technical teams More ❯

expertise in interpreting and applying business rules that drive data behavior. Strong understanding of software development lifecycle (SDLC) and agile methodologies. Proficiency in tools such as JIRA, Confluence, Visio, SQL, and data visualization platforms. Ability to interpret and communicate complex technical and data concepts to non-technical stakeholders. Experience with APIs, data integration, and enterprise systems is a plus. Excellent More ❯

Terraform for Azure, Snowflake, and related platforms. Experience with Azure DevOps CI/CD pipelines, including YAML pipeline creation, artifact management, and automated secrets handling. Good Scripting skills in SQL, PowerShell, and Python, combined with a strong understanding of security, compliance, and agile delivery methodologies.About the department We are proud to be a Disability Confident Committed employer. If you have More ❯

modern cloud, CI/CD, and database technologies. What You’ll Do Develop robust backend services and REST APIs using Java, Spring Boot, Spring MVC Work with Oracle, CockroachDB, SQL for data modeling and queries Deploy applications using Kubernetes, Docker, and GKP (private cloud) Build and support CI/CD pipelines with Jenkins, GitLab CI, GKP DevOps Write automated tests More ❯

emerging data science capabilities within the finance team Required Skills & Experience 2-3 years' experience in a Power BI/Data Analyst role Strong experience with: Power BI DAX SQL ETL processes Experience in data modelling and building scalable reporting solutions Excellent stakeholder engagement and communication skills Positive, proactive attitude and strong interpersonal skills Desirable Microsoft PL-300 certification (or More ❯