1 to 25 of 3,391 SQL Jobs in the UK excluding London

About the role As one of our SQL DBAs within the Run and Operate chapter, you will be helping the team manage the data platforms environment in a secure and optimised manner. As a member of the team, you will be tasked with supporting the current database instances and providing … resilient database solutions to the various challenges that arise using SQL Server and related technologies on a Windows platform. The successful candidate will in the long-term help migrate solutions from on-prem to Azure. The role will include validation of planned changes to ensure that they comply with best … also involve working with the Tesco Mobile Cyber Security Team. You will be responsible for: Be a team player - live the Tesco Mobile values. SQL server database administration using SQL server 2017/2019. Configuration of SQL Server Instances. Upgrading Instances to the latest versions (currently we are migrating all More ❯

data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired More ❯

practices. Ideal candidate qualities: Passionate about technology, especially the Microsoft development stack, Azure Cloud, and Data Engineering technologies. Experience with Azure tools or MS SQL databases is desirable. Interest or experience in AI and developing custom copilot applications. Self-motivated, eager to learn, and committed to continuous improvement and industry More ❯

data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze More ❯

frameworks. Experience in business process analysis from a data perspective. Prior experience in the energy sector (preferred but not required). Skills & Abilities Strong SQL skills and proficiency in tools like Microsoft Excel, Power BI, or Tableau. Familiarity with Python and cloud data platforms, especially Microsoft Azure. Strong understanding of More ❯

ensure successful adoption of reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent More ❯

technology departments, You will have to have a strong understanding of various financial products and the trading life cycle. The role Advanced proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft More ❯

data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions More ❯

years proven experience as a Data Engineer, Software Engineer, or in a similar role. Must be from an insurance background. Strong knowledge of SQL and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

clients Skilled in value-based selling methodologies (e.g., MEDDICC, Force Management, Demo2Win) Proficient with BI platforms such as Tableau, Looker, or Power BI Strong SQL and Python skills for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI More ❯

clients Skilled in value-based selling methodologies (e.g., MEDDICC, Force Management, Demo2Win) Proficient with BI platforms such as Tableau, Looker, or Power BI Strong SQL and Python skills for data modelling, integration, and automation Hands-on experience with APIs and tools like Postman Familiarity with AI technologies including LLMs, AI More ❯

accurate, and future-ready. What You’ll Bring Extensive experience in data engineering (5+ years), ideally in senior or lead roles. Solid command of SQL and Python, with a proven track record in building solutions using Azure Databricks and Synapse Analytics. Proficiency in Microsoft Azure’s data and integration services More ❯

Experience Demonstrable experience in a senior data analytics role, ideally within operations, retail, or financial services. Proficient in Excel (advanced formulas, pivot tables, macros), SQL, and Power BI. Skilled in Python for data simulation and optimisation modelling. Strong knowledge of data warehousing, analytics platforms, and IT systems integration. Expertise in More ❯

but also driven, collaborative, and solutions-focused. Experience & Knowledge: Proven experience building solutions with Power BI, Power Apps, and Power Automate Strong data modelling, SQL, and data warehousing knowledge Familiarity with Microsoft 365 and Azure environments Microsoft Power Platform certifications (or working towards them) Understanding of JavaScript, HTML, CSS (for More ❯

support analytical requirements. Good understanding of different data modelling techniques and trade-off Should have experience with Data Modelling Experience in data query languages (SQL or similar). Knowledge of ETL processes and tool Experience in data centric and API programming (for automation) using one of more programming languages Python More ❯

awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Learning Provider QA LIMITED Skills Required Communication skills, Attention to detail, Organisation skills, Team working, Non-judgemental Apply Now More ❯

Essential skills we would love you to have: Strong analytical experience in the use of MS Office Applications (Excel and Powerpoint), Programming Languages (Python, SQL, R) and Visualisation Tooks (such as Tableau and Power BI) Excellent communication skills with the ability to interpret complex data and translate this to business More ❯

life cycle. Programming Skills: Proficiency in C#.NET, WPF, LINQ, MVVM, MEF, WCF, Java, RESTful APIs and Kubernetes. Database Knowledge: Essential knowledge of PL/SQL and Oracle databases. You might also have: Educational Background: Degree in Computer Science, Information Technology, or a related discipline in IT. Technical Expertise: Proven experience More ❯

5+ years of experience in data management, preferably within financial services and FX. Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred More ❯

Spring), Junit Understanding of message based architectures (MQ/Kafka) RDBMS Sybase and/or DB2 is preferable, with a proficiency in writing complex SQL queries Unix/Linux scripting (Shell/Python) Good Problem solving and analytical skills Full software development lifecycle understanding Good software development practices Excellent oral More ❯

Spring), Junit Understanding of message based architectures (MQ/Kafka) RDBMS Sybase and/or DB2 is preferable, with a proficiency in writing complex SQL queries Unix/Linux scripting (Shell/Python) Good Problem solving and analytical skills Full software development lifecycle understanding Good software development practices Excellent oral More ❯

Fabric or Databricks is strongly preferred. Experience leading multidisciplinary technical teams, including architects, engineers, and analysts, to deliver data-centric projects. Advanced proficiency in SQL or its extensions for analytical applications. Strong knowledge of distributed data systems and frameworks for processing large-scale data. Excellent written and verbal communication skills More ❯