1 to 25 of 3,120 SQL Jobs in the UK

visualisation Interpret requirements and present data in a clear and compelling way, using data visualisations In this role you will need experience of the following as a minimum: Snowflake, SQL, Azure or AWS, Power BI and Python. The wider technology stack is: Visualisation tools- Power BI Data modelling tools- Python, R, Alteryx and Business Objects Cloud service experience - AWS and … or Azure Databases - SQL Server, Oracle, NoSQL Data Integration tools (Mulesoft, Fivetran, SSIS) Cloud based Big Data frameworks such as data lake, Snowflake Remote working, O365 Productivity stack We offer: Our offer to you We want everyone at Rathbones to fulfil their potential, in an environment where you are proud to work and feel like you belong. We offer a More ❯

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

sources and tables for reliable reporting, using Power Query or other appropriate transformation methods to build efficient data models that support accurate insights. Integration & Connectivity: Connect Power BI to SQL, APIs, and gateways, ensuring secure, efficient data pipelines and supporting future cloud and data platform initiatives. Stakeholder Collaboration: Gather requirements, prototype layouts, and refine reports through feedback and workshops. Document … Science, Data Analytics, Information Systems, or related field (or equivalent experience). Microsoft certifications are a plus. 5+ years' experience in Power BI development, with advanced proficiency in DAX, SQL, and data modelling, including performance optimisation. Proven ability to create reports for all business levels, including executive and board level. Experience integrating Power BI with enterprise and cloud data sources More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

lead on the DevOps team, which currently consists of ten team members with varying levels of skills. The technology environment consists of newly developed Microsoft Business Intelligence systems using SQL Server BI stack tools like (SSIS, SSAS, SSRS), delivered via SharePoint and Power BI, as well as the new Trust EHR system (EPIC). The post holder will be expected … to ensure knowledge transfer and continuity. 12. Continuous Improvement: Research new technologies, improve development processes, and contribute to optimizing the teams workflow. Key Skills Required Technical Skills: Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server), and familiarity with cloud databases (e.g., AWS RDS, Azure SQL). Data Modeling: Ability to design normalized, relational, and sometimes non … at a senior level in Information Technology, informatics or related specialist discipline Plus, additional specialist training Desirable Specialist training in database administration techniques including either of Oracle or Microsoft SQL Server. Specialist training in Microsoft Active Directory domain environment. Specialist training in Microsoft SharePoint administration or development. Specialist training in an object orientated programming language. ITIL Foundation Prince Foundation or More ❯

and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept … additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill More ❯

and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept … additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill More ❯

as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir More ❯

refinement, and pragmatic decision‐making in client squads. Nice to have Development fundamentals with Microsoft stack (.NET/C#/TypeScript), API integration, and working with data stores (Dataverse, SQL, SharePoint). Dynamics 365 (CE) experience Microsoft certifications (e.g., PL‐900/100/200/400/500/600). Power BI exposure (reports, embedding) and Azure Integration More ❯

refinement, and pragmatic decision‐making in client squads. Nice to have Development fundamentals with Microsoft stack (.NET/C#/TypeScript), API integration, and working with data stores (Dataverse, SQL, SharePoint). Dynamics 365 (CE) experience Microsoft certifications (e.g., PL‐900/100/200/400/500/600). Power BI exposure (reports, embedding) and Azure Integration More ❯

refinement, and pragmatic decision‐making in client squads. Nice to have Development fundamentals with Microsoft stack (.NET/C#/TypeScript), API integration, and working with data stores (Dataverse, SQL, SharePoint). Dynamics 365 (CE) experience Microsoft certifications (e.g., PL‐900/100/200/400/500/600). Power BI exposure (reports, embedding) and Azure Integration More ❯

clinical reporting structures from disparate systems within a consistent and stable framework that is monitored and assured. We are seeking an experienced Data Engineer with a strong background in SQL Server and a commitment to formal change management procedures (RFC) and version control (Git). We are at the start of a five-year Data Engineering modernisation programme; this includes … qualification Microsoft certifications or equivalent technical qualifications. Experience Essential Substantial experience of design, build and deployment of Business Intelligence functions in a large/complex organisation. Substantial experience of SQL Server database/data warehouse development maintenance and support. Substantial experience of handling ETL solutions and issues across a range of systems. Substantial experience of delivering complex data and reporting … tasks to completion. Desirable Previous experience of working in the NHS. Database table partitioning. Data transfer using a web API. Transferring data using SFTP. Skills Essential Creating well-structured SQL Server Integration Services packages for data transfer and Data Warehouse ETL processes. Designing and implementing SQL Server Reporting Services reports. Data transfer using XML and JSON. Developing custom SSIS Script More ❯

As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and Synapse environments. Play a key role … Experience Essential: Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning. Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation). Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures. Deep proficiency in SQL development and optimisation. Solid understanding of Azure Data Lake and cloud storage layers. Proven track record delivering Azure-based data engineering More ❯

As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and Synapse environments. Play a key role … Experience Essential: Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning. Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation). Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures. Deep proficiency in SQL development and optimisation. Solid understanding of Azure Data Lake and cloud storage layers. Proven track record delivering Azure-based data engineering More ❯

data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/on-prem solutions. Understanding of More ❯

and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation processes, and performance optimisation. Support AI … of modelling standards. Senior Analytics Engineer/Data Modeller Requirements Proven experience as an Analytics Engineer, Data Modeller, or similar position in a modern cloud-based data environment. Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and More ❯

Microsoft Dataverse. Experience configuring and deploying Dynamics 365 applications. Experience with Power Apps Test Studio or other Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with … Power BI solutions would be a plus. Experience integrating Power Apps solutions with APIs or third-party solutions. Development experience using Microsoft stack (.NET/C#/TypeScript/SQL Server). Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with Microsoft Azure PaaS/Azure Integration Services. Power Platform Certifications More ❯

big data architecture and performance optimisation. CI/CD & Automation: Skilled in Jenkins, GitHub Actions, and Python scripting for automated ETL and Power BI deployments. Data Engineering: Proficient in SQL, Spark, EMR, and data warehousing; experienced in optimizing ETL pipelines and Power BI models (DAX, refresh scheduling). Containerization & DevOps: Hands-on with Docker and Kubernetes; experienced in scalable, portable More ❯

big data architecture and performance optimisation. CI/CD & Automation: Skilled in Jenkins, GitHub Actions, and Python scripting for automated ETL and Power BI deployments. Data Engineering: Proficient in SQL, Spark, EMR, and data warehousing; experienced in optimizing ETL pipelines and Power BI models (DAX, refresh scheduling). Containerization & DevOps: Hands-on with Docker and Kubernetes; experienced in scalable, portable More ❯

emerging technologies and industry trends in data engineering. Requirements Demonstrable experience working as part of a data engineering function. Strong proficiency in Azure Data Factory and Databricks. Proficiency in SQL and good to have programming languages like Python. Familiarity with data modelling, data warehousing, and ETL processes. Experience with data visualisation tools such as Microsoft Power BI or Tableau is More ❯

with cloud platforms such as Oracle Cloud Infrastructure (OCI) and Azure. Proficiency in version control and DevOps tools like GitHub, Git Actions, Jenkins, Terraform. Programming and Scripting skills in SQL, PL/SQL, Java, Python, Shell Scripting. Experience with data and reporting tools such as Oracle Analytics Cloud, Power BI, Tableau. Understanding of security and compliance standards including OAuth2, SAML More ❯

autonomy, technical variety, and the satisfaction of keeping complex data systems reliable and efficient. Why this role? Work across a modern data stack - from ingestion to visualisation - using Python, SQL, Meltano, and Power BI . Join a small, high-impact team supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business's data warehouse … a Python-based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures, and data ingestion from the warehouse. … Python-based dynamic pricing model and web scraping tools. What we're looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other More ❯

Cloud to deliver clear and actionable insights. Ensure data accuracy, consistency, and completeness through data validation, cleansing, and reconciliation processes. Develop and automate recurring reports and data workflows using SQL, Python, and workflow automation tools (e.g., Power Automate, Logic Apps, OIC). Conduct in-depth data analysis to identify trends, anomalies, and opportunities for business improvement. Support business users with … business processes and how data supports decision-making. Experience developing reports, dashboards, and data models using modern BI tools (e.g., Power BI, Oracle Analytics Cloud, Business Objects). Strong SQL skills (Microsoft SQL Server or Oracle Database). Excellent analytical and problem-solving abilities with a methodical approach. Solid organisational and documentation skills. Advanced Microsoft Excel & Power BI skills. Desirable … with the following technologies: Microsoft Power Platform (Power Automate, Power Apps) Microsoft Azure Data & Integration Services Oracle Integration Cloud (OIC) Oracle Analytics Cloud (OAC) Oracle Data Integrator (ODI) Microsoft SQL Server Reporting Services (SSRS) Microsoft Data Fabric The benefits of working for Avara Foods: As a Data Analyst you will enjoy a secure, supportive and progressive working environment, where your More ❯

our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client and cross … in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi More ❯

part in designing, building, and optimising data models and reporting solutions that provide actionable insights to our clients. The successful candidate will be proficient in advanced Power BI development, SQL, and dimensional modelling, with proven experience in integrating datasets across platforms such as Dataverse and Databricks. Key Responsibilities Design, develop, and maintain advanced Power BI reports and dashboards, ensuring efficient … mode solutions for scalable and high-performing reporting. Build robust dimensional models that support time-travel and snapshot reporting for historical trend analysis and regulatory requirements. Develop and optimise SQL queries to support reporting, analysis, and data integration tasks. Integrate and transform datasets from Dataverse and Databricks into consumable Power BI solutions. Collaborate with business stakeholders to translate requirements into … and clients on data visualisation best practices and analytics capabilities. Requirements Technical Skills Expert-level proficiency with Power BI, including DAX, M, advanced modelling techniques, DirectQuery, and Import. Strong SQL skills, with the ability to write complex queries for analysis and integration. Experience in dimensional modelling, including star and snowflake schema design. Demonstrated capability in time-travel and snapshot reporting More ❯