51 to 75 of 2,249 SQL Jobs in the UK excluding London

our Purchasing team to address pressing business challenges and enhance efficiency. What You Will Have: Essential Skills & Expertise: Programming Proficiency: Strong command of programming languages, including Python, R, or SQL . BI & Analytics: Strong understanding of statistical analysis, and proven proficiency with data visualization tools (e.g., Tableau, Power BI ). Tool Competency: Highly competent user of the Microsoft ecosystem, including More ❯

proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of data security and privacy standards. A degree More ❯

reporting processes and standards. Mentor junior team members and support the resolution of data/reporting issues. Requirements 4+ years' experience as a Data Engineer or similar role. Strong SQL skills; extensive experience with Amazon Redshift (and ideally MySQL). Experience with data visualisation tools (preferably Amazon QuickSight). Proficient in AWS Glue and Python for ETL. Strong data modelling More ❯

Power Automate, Power Query. Building and maintaining Power BI reports and certified datasets. Working with stakeholders to understand business needs and translate them into reporting solutions. Using service include SQL and Python to clean, transform, and analyse data. Supporting users across the business with training and reporting guidance. Contributing to our journey into AI and advanced analytics. Identifying opportunities to More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using More ❯

integrations and REST/SOAP web services Additional Skills Experience with Azure services and Azure Active Directory Familiarity with Power Platform admin center and governance tools Good understanding of SQL and database concepts Knowledge of ITIL or IT service management principles Strong analytical and problem-solving abilities Soft Skills Excellent troubleshooting and diagnostic skills Ability to work independently and manage More ❯

and contribute to the continuous improvement of reporting systems and processes. What we're looking for: We're seeking someone with significant experience in data reporting and analytics, excellent SQL and Power BI skills, and a strong understanding of relational databases, data modelling, and ETL processes. You'll need a Level 3 qualification in a relevant subject (or equivalent experience More ❯

8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile 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 ❯

Engineer – C# .Net Azure 5+ yearsC#/.NET development, ideally with Blazor Experience working in a collaborative, agile development team Knowledge of building and managing Azure infrastructure (App Services, SQL Database, networking, CI/CD pipelines) Passionate about best practice, using version control(GIT) as standard An understanding of how to get the best productivity gain from AI tooling whilst More ❯

colleagues Industry experience in the retail banking or wider financial services sector Additional technical experience in any of the following – PySpark, Microsoft Azure, VBA, HTML/CSS, JavaScript, JQuery, SQL, PHP, Power Automate, Power BI What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant stake in the business Equity More ❯

internal teams; share technical expertise Essential Experience Strong Java/Spring Boot engineering background Experience with microservices and modern API design Exposure to Docker, Kubernetes, and cloud environments (AWS) SQL/NoSQL experience (PostgreSQL, MongoDB) Strong communication and problem-solving skills Adaptable, proactive, and comfortable in a scaling organisation Security Clearance Requirements Due to the sensitive nature of projects, candidates 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 ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how 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 ❯

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 ❯

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 ❯

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 ❯