1 to 25 of 3,691 SQL Jobs in England

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

safe and protecting our systems against vulnerabilities. Key Accountabilities: Contribute to the data analysis efforts to support Swan's Products modelling and decision-making processes. Develop and maintain complex SQL queries and scripts using PostgreSQL and OLAP database (i.e. Snowflake). Utilise Data Visualization tools (i.e. AWS QuickSight, Power BI, JasperReports, etc) to create and manage reports, data extractions, visualisations … flag risks early, and contribute to discussions on scope and timelines. Required skills and experience: Bachelor’s degree in Computer Science, Information Technology, or a related field. Proficiency in SQL, with experience in MSSQL and PostgreSQL. Experience with data visualization tools like Excel, Power BI, Tableau, or similar. Experience with ETL tools, preferably Talend. Basic understanding of OLAP concepts and More ❯

Git), and automate Fabric workspace deployment Define data-quality rules, lineage and catalogue standards About You Solid track record in Data Engineering, BI Development or Analytics Engineering roles Strong SQL skills and a solid understanding of data-modelling principles (e.g., dimensional modelling, 3NF) Experience designing and building modern data pipelines and Lakehouse architectures Hands-on experience with at least one 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 ❯

integrity at all times - Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem Skills- - Experience with data pipelines and ETL - informatica - Experience in SQL and database management systems - Knowledge of data modelling , warehousing concepts , and ETL processes - Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or … Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices. Similar Jobs (4) Data Engineer - ETL/SQL/Python/UNIX locations 2 Locations time type Full time posted on Posted 24 Days Ago Informatica Software Engineer Sr - Oracle SQL/PLSQL locations 4 Locations time type … Full time posted on Posted 30+ Days Ago Data Architect - SQL/Erwin locations 4 Locations time type Full time posted on Posted 15 Days Ago Top Reasons to Join PNC Being a great place to work means we are making a lasting difference for everyone we serve. Check out the top reasons to join PNC. Total Rewards PNC's More ❯

data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks … the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills More ❯

in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation Competent in integrating relational, NoSQL, and More ❯

across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that … practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka … such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one More ❯

a pivotal role in shaping the future of data-driven decision-making across the institution. This is an exciting opportunity for someone with strong expertise in Azure, ADF, Azure SQL Server, pipelines, ETL, database, Dev-Ops, and Power to contribute to the development of cutting-edge data solutions, influence the organisation's BI strategy, and mentor others in best practices. … Microsoft Power BI reporting , ensuring solutions align with business needs and future opportunities. Develop and maintain system architecture in partnership with chosen data and analytics solution providers. Utilise Azure SQL data warehouse and related Azure services to build scalable data solutions and self-service reporting capabilities. Ensure appropriate access controls are applied to safeguard data and compliance with governance standards. … data and analytics. Person Specification Essential skills and experience: Significant expertise in Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting complex datasets. Strong analytical mindset with excellent attention to detail and accuracy. Experience More ❯

and optimise PowerBI reports, dashboards, and datasets for operational, strategic, and Trustee-level reporting. Carry out data analysis at descriptive, diagnostic, predictive, and (where possible) prescriptive levels using PowerBI, SQL, and statistical techniques. Work closely with stakeholders across all departments to gather requirements, shape reporting solutions, and provide actionable recommendations. Collaborate through Azure DevOps to plan and deliver realistic reporting … and optimise PowerBI reports, dashboards, and datasets to support operational teams, senior management, and Trustee-level oversight. Deliver analysis at descriptive, diagnostic, predictive, and prescriptive levels using PowerBI, MS SQL, and statistical techniques. Apply statistical and modelling techniques that go beyond traditional reporting, providing forecasts and recommended actions to inform decision-making. Provide actionable insights by identifying trends, patterns, and … or introducing innovation in a previous role. Leading in your area Essential Desire to learn and develop skills in Business Intelligence Experience working with PowerBI Experience working with Microsoft SQL Server and writing SQL queries Experience in effective Data visualisation Desirable Experience with Microsoft Fabric Experience or knowledge of data modelling techniques and Data Warehousing concepts Disclosure and Barring Service More ❯

Collaborate with stakeholders across the business to deliver value-driven solutions What were looking for: London/Lloyd's Market experience is essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

small team as well as independently, exercising discretion in technical decisions A strong understanding of Agile software development Excellent communication and stakeholder collaboration skills Desirable Additional languages ( PHP, .Net, SQL, Python ) Familiarity with JIRA, GitHub, Confluence, Figma, Miro, Okta/Auth0 Experience with integrations and API construction Relevant degree/technical qualification or professional body membership Interest in DevOps, SecOps More ❯

IT SQL Developer Our client is looking for an experienced SQL Developer to work in the Solutions Engineering team within their IT department. The role will work alongside the existing development and change management teams to continue to develop and enhance our operational database integrations, and data warehouse capabilities. Working with the Head of Development, this exciting role will consult … and enhance our data capabilities by consuming external data feeds. Experience of harnessing public or commercially available datasets and APIs to augment corporate data, would be beneficial. As a SQL expert, you will assist in the development and maintenance of data integrations between operational data platforms. In addition, supporting our Application Support and Application Production teams to troubleshoot production issues … where required. Necessary Skills/Experience • Expert in Microsoft SQL Server. • Proficient in writing complex SQL queries to retrieve and manipulate data. • Experience in creating and maintaining stored procedures and functions to optimize database performance. • Experience with SSIS for data integration and ETL (Extract, Transform, Load) processes. • Background in reporting and business intelligence tools, including SSRS. • Experience of working within More ❯

Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

of experience in a data engineering or similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a 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 ❯

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 ❯

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 ❯

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 ❯