251 to 275 of 18,373 SQL Jobs in England

at least one compiled language (e.g. C, C++, Java) Full Stack Developer with experience working with React. In-depth knowledge of relational and columnar SQL databases, including database design Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM 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 ❯

Power Pivot, DAX Calculations. • Must be proficient in developing reports and management presentations. • Minimum of 2 years' experience with Python/Pandas (Preferred), R, SQL (Preferred), SAS, Jupyter Notebooks or other analytical coding language. • Minimum of 2 years' experience with data visualization tools like Power BI (Preferred), Tableau or Data More ❯

in Oracle Cloud ERP, HCM, or SCM data structures, with the ability to integrate multiple Oracle Cloud modules. Hands-on experience with PL/SQL, data transformations, and BI Publisher, as well as Oracle’s built-in analytics tools. Strong understanding of business intelligence principles, including trend analysis, forecasting, and More ❯

and adherence to governance standards What You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail More ❯

and requires office working of twice a week. Technical Requirements: Backend: C#, .Net Core, ASP.NET, APIs, Frontend: JavaScript, HTML, CSS, React Additional Skills: Azure, SQL, Power Platform – Power BI Bonus Skills: DevOps, PowerShell, CI/CD Pipelines, QA Confident working in an Agile environment. Have experience leading teams – either mentoring More ❯

performance optimization within OpenLink. Expertise in integrating OpenLink with other systems using Java, .NET, or REST/SOAP APIs. Strong knowledge of databases (Oracle, SQL Server) and proficiency in SQL. Ability to lead and mentor technical teams, manage timelines, and coordinate across global teams. Excellent analytical, communication, and documentation skills. More ❯

performance optimization within OpenLink. Expertise in integrating OpenLink with other systems using Java, .NET, or REST/SOAP APIs. Strong knowledge of databases (Oracle, SQL Server) and proficiency in SQL. Ability to lead and mentor technical teams, manage timelines, and coordinate across global teams. Excellent analytical, communication, and documentation skills. More ❯

Python, JavaScript, C#). Familiarity with front-end (e.g., React, Angular) and/or back-end (e.g., Node.js, Django, .NET) frameworks. Experience with databases (SQL and/or NoSQL), REST APIs, and version control systems (e.g., Git). Strong problem-solving skills and attention to detail. Preferred: Experience with cloud More ❯

Azure, Google Cloud) is a must. Strong experience collaborating with diverse stakeholders, including business users and technical teams, is a must-have. Experience with SQL for querying databases and familiarity with data visualisation tools like Tableau Power BI or Qlik is a nice to have. £65,000 to More ❯

Azure, Google Cloud) is a must. Strong experience collaborating with diverse stakeholders, including business users and technical teams, is a must-have. Experience with SQL for querying databases and familiarity with data visualisation tools like Tableau Power BI or Qlik is a nice to have. £65,000 to More ❯

building and maintaining robust data pipelines using ETL tools and frameworks, with knowledge of data warehousing and scalable architectures. Technical Expertise: Strong command of SQL, scripting, and programming languages like Python or Java. Experience with Microsoft Azure, including Azure Data Factory and Databricks, is essential. Data Quality and Governance: Experience More ❯

London Market Insurance; Sound understanding of data warehousing concepts; Contributions to well-designed data platform and data warehouse solutions ETL/ELTs – SSIS & T-SQL, Data Factory, Databricks/Apache Spark; Data modelling; Strong communication skills and able to build relationships and trust with our stakeholders; Working within an agile More ❯

Core Certified. Experience developing and supporting automated workflows in Alteryx Designer. Experience deploying workflows to the Production Gallery. Knowledge of database fundamentals, data design, SQL, and data warehouse concepts is advantageous. Exposure to PowerBI, Databricks, Microsoft Azure, and Profisee is a plus. Knowledge of Json, Python, XML, and R is More ❯

expert group and promoting best practices. Essential skills: Strong experience with Microsoft’s development stack (or similar), Azure cloud tools, and/or MS SQL database technologies. A keen interest in AI and developing custom solutions using Microsoft’s Copilot capabilities. A continuous learner with a growth mindset, passionate about More ❯

Experience building and supporting automated workflows in Alteryx Designer. Experience deploying Alteryx workflows to the Production Gallery. Knowledge of database fundamentals, including data design, SQL, and data warehouse concepts. Exposure to PowerBI, Databricks, Microsoft Azure, and Profisee is advantageous. Knowledge of JSON, Python, XML, and R is beneficial. Experience with More ❯

warehouse architectures, ETL processes, and data modeling. Experience working with cloud platforms (e.g., AWS, Azure) and modern data warehouse tools. Technical Skills : Familiarity with SQL, data visualization tools (e.g., Tableau, Power BI), and ETL tools (e.g., MSBI-SSIS). Knowledge of Agile and Waterfall project management methodologies. Soft Skills : Excellent More ❯

skills.Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift).Hands-on experience with Apache Airflow (or similar orchestration tools).Strong proficiency in Python and SQL for pipeline development.Deep understanding of data architecture, dimensional modelling, and metadata management.Experience with cloud platforms (AWS, GCP, or Azure).Familiarity with version control, CI/ More ❯

using ETL tools and frameworks. Familiarity with data warehousing concepts and experience in developing scalable, high-performance data architectures. Technical Expertise: Strong command of SQL and scripting languages, along with experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with More ❯

enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version More ❯

enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version More ❯

enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version More ❯

enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version More ❯

enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version More ❯

Looking For: Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial More ❯