51 to 75 of 2,531 SQL Jobs in the UK excluding London

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯

Knowledge of ASP.NET Core and design/architectural patterns like MVC. Experience consuming data from web services using technologies such as web APIs, OAuth, and gRPC. Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework. Exposure to Java for Android, Objective-C, or Swift. Experience More ❯

of ASP.NET Core and design/architectural patterns like MVC. Experience consuming data from web services using technologies such as web APIs , OAuth , and gRPC . Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework . Exposure to Java for Android, Objective-C , or Swift More ❯

on experience developing solutions using Microsoft Azure Proficiency in one or more programming languages ( C#, .NET, Python, Node.js ) Strong knowledge of Azure services: App Services, Functions, Containers, Key Vault, SQL, Storage, Event Hub Experience implementing Infrastructure as Code (Terraform, Bicep, or ARM templates) Solid understanding of CI/CD pipelines and automation practices Good grasp of cloud security, networking , and More ❯

a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. Ability to communicate complex More ❯

need to succeed This role demands strong technical capability and creative problem-solving. You will be expected to leverage tools such as Power BI, Power Fx, JavaScript, JSON, and SQL to deliver insights and functionality that empower decision-making across the business. A working knowledge of Azure services, REST APIs, and custom connector development will be advantageous, as will familiarity More ❯

need to succeed This role demands strong technical capability and creative problem-solving. You will be expected to leverage tools such as Power BI, Power Fx, JavaScript, JSON, and SQL to deliver insights and functionality that empower decision-making across the business. A working knowledge of Azure services, REST APIs, and custom connector development will be advantageous, as will familiarity More ❯

completeness Exceptional problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will More ❯

for using data to tell stories, make insight actionable, and influence decisions.Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus.Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git.Skilled in data visualisation with tools such as Tableau or Power BI.Confident writing efficient code and troubleshooting sophisticated queries.Clear and adaptable More ❯

data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. More ❯

and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms More ❯

will also explore and implement alternative ways of working, challenging the status quo to meet evolving business needs. To be successful in this role you will have a strong SQL skills, excellent analytical skills, experience in stakeholder management, technical development skills and the ability to influence and drive change across various levels of the organisation. If you are passionate about More ❯

will also explore and implement alternative ways of working, challenging the status quo to meet evolving business needs. To be successful in this role you will have a strong SQL skills, excellent analytical skills, experience in stakeholder management, technical development skills and the ability to influence and drive change across various levels of the organisation. If you are passionate about More ❯

of ERP data models (especially Oracle Financials) and integration patterns across platforms. Experience in working with large datasets, complex joins, and performance tuning of queries and reports. Proficient in SQL, data modeling, and preferably some exposure to ETL pipelines. Solid project management skills and the ability to handle multiple reporting workstreams simultaneously. Excellent communication and stakeholder management skills. Desirable Knowledge More ❯

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

support the build of dashboards based on Microsoft Power BI. Developing R or Python scripts to produce predictive models for use within PowerBI or reporting. Maintenance of Power BI, SQL and related reporting systems, helping to ensure a useful and reliable reporting function for the business. Developing data pipelines from Microsoft Fabric and integration products to exploit and maximise a … BI/Microsoft Analytics solutions, with a good grounding in all associated areas including; development , Enterprise Architecture, Governance, Rollout and Adoption Knowledge or experience ofData Factory, Data Lake, Azure SQL database, Azure SQL Data warehouse, Azure Analysis Services, R Studio, Python, Power Apps or Microsoft Fabric. Considerable technical knowledge or experience in any of the following: Power BI Report Server … or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how to develop cloud-based More ❯

modelling using Power Pivot, and scenario analysis tools. Experience in building dashboards, process automation, and preparing structured data for Power BI integration is essential. Power BI and Power Query. SQL for data extraction and manipulation. Python (preferred but not required). Personal Attributes: Strategic thinker with a hands-on approach to problem-solving. Strong interpersonal and communication skills. Motivated by More ❯

used effectively Requirements Experience as a Business Analyst within an IT, digital or data-driven environment Strong experience gathering and shaping reporting, analytics or BI requirements Practical experience using SQL to explore or query data Good working knowledge of Power BI or similar visualisation/reporting tools Strong analytical and problem-solving skills, with the ability to work confidently with More ❯

practices. Producing clear technical documentation for workflows, architectures, and configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with Microsoft Purview More ❯

practices. Producing clear technical documentation for workflows, architectures, and configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with Microsoft Purview More ❯

will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial performance. Clear communication skills and a collaborative mindset. What’s on Offer Salary of £35,000–£40,000 depending on More ❯

on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply More ❯

teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯

teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯

shared engineering standards and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid More ❯