1 to 25 of 835 Remote SQL Jobs in the UK

Senior SQL Database Administrator Meriden, West Midlands Permanent Up to £60,000 pa (depending on experience) Full time, Monday to Friday, this is an office based role Benefits of the Senior SQL Database Administrator role: 33 days holiday including bank holidays, pension scheme and free on-site parking. **Please note this is an office-based role based in Meriden with … no option to work from home** Are you a Senior SQL Database Administrator who enjoys getting stuck into complex projects and keeping systems running smoothly? If you’re after a role where your experience genuinely makes a difference, this could be a great next step.Pertemps, the UK’s largest independent recruitment agency, is looking for a confident and capable Senior … SQL Database Administrator to take ownership of our SQL Server estate and Azure SQL Data Warehouse environment. It’s a brilliant opportunity for someone who loves improving performance, solving tricky problems, and keeping everything in top shape.What you’ll be doing as a Senior SQL Database Administrator: Managing, monitoring, and maintaining Microsoft SQL Server databases Supporting Azure PaaS databases, including More ❯

SQL Database Administrator Location: Manchester/Birmingham/Sheffield/Chelmsford (Hybrid: 3 office/2 WFH) Salary: Up to £65,000 + benefits Sector: Professional Services/Legal IT Type: Permanent What’s on offer: Salary up to £65,000 Hybrid working: 3 days in office/2 days WFH Modernising SQL and Azure environment with strong investment The … opportunity We are working with a major professional services organisation seeking an experienced SQL Database Administrator to join a specialist team supporting large, business-critical SQL Server and Azure SQL platforms. This is a hands-on position where you’ll play a key role in maintaining performance, stability, and resilience across the firm’s core applications. The role Administer and … optimise SQL Server databases (2014–2022) across on-prem and Azure. Deliver performance tuning, query optimisation and advanced troubleshooting. Manage HA/DR including AlwaysOn AGs, clustering, backups, and failover. Monitor capacity, patching, security, and database integrity. Support application upgrades, releases, and T-SQL-driven integrations. Provide 3rd-line support for major incidents. Produce documentation, runbooks, and operational best practice. More ❯

the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data … required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. 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 ❯

skills. Excellent communications skills with the ability to convey technical solutions to a non-technical audience. Ability to work with legacy systems while driving modernization. Experience and familiarity with SQL, Blazor & Blazor patterns, SignalR, Azure DevOps, PowerShell, Python, MAUI. Experience with database technologies (e.g., MSSQL, MySQL, MongoDB) and ORM frameworks. Experience with cloud services (e.g., Azure, AWS, Google Cloud) and More ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate More ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate 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 ❯

Wharf. Role - C# Developer - Desktop Applications Duration - 6 months with likely extension Rate - £415 p/d (inside IR35) Location - Hybrid/Canary Wharf Tech Stack C# WPF Winforms SQL Oracle Tasks Tasks range from understanding business requirements, designing application structures, business data analysis, programming WPF (Windows Presentation Foundation) applications in Visual C#.NET on both Oracle and SQL Server database … languages like MS VBA for Excel and Access, MS VB and MS Excel Macros will also be required. Additional Tasks Defining Database objects required in systems to connect with SQL and Oracle Database Administrators in both London and New York. Providing script for database inquiry languages, i.e., T-SQL (SQL Server) and PL/SQL (Oracle) to perform data analysis … relevant support teams such as other Development sections, Technical Support, Network and Infrastructure and DBA where Business users experience system problems. Assessing the impact of data processing loads on SQL and Oracle database and, when appropriate, finding alternative approaches. Rolling out changes with a coordination of Release manager. It is important to maintain the change history of applications GCS is More ❯

and Dataverse . Strong integration skills with Azure Logic Apps , REST/SOAP APIs , and KingswaySoft . Experience with CI/CD , DevOps , and GIT version control. Proficient in SQL , SSIS , and Azure Data Factory (ADF) . Working knowledge of Agile/SCRUM and OWASP principles. Excellent stakeholder management, communication, and problem-solving skills. Desirable Exposure to Copilot and AI More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯

reviews, sprint planning, code reviews, and knowledge sharing. Requirements: Strong experience in backend systems and technologies, such as .NET 8 or 9, C# or Golang etc Experience in various SQL dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker More ❯

to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate More ❯

Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal More ❯

understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory/Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated More ❯

and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like Python or R Excellent attention to detail and proven problem-solving More ❯

Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and Delta Parquet formats. Strong data modelling and architecture knowledge across SQL and NoSQL databases. Understanding of the software development lifecycle and ML-Ops. Knowledge of advanced statistical techniques and their commercial application. Excellent communication skills with the ability to present findings More ❯

analytical skills. Strong teamwork, communication, and stakeholder engagement abilities. Ability to translate business requirements into practical, scalable solutions. Desirable: Experience with Microsoft 365, Azure, and Dynamics 365. Familiarity with SQL and data management. Basic knowledge of JavaScript or C# for custom integrations. What’s on Offer Bonus scheme Hybrid working (3 days office-based) Free on-site parking Interested? Please More ❯

JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high-quality features Growing technical ownership and contributions Positive impact on team More ❯

Power Automate, Power Query. Building and maintaining Power BI reports and certified datasets. Working with stakeholders to understand business needs and translate them into reporting solutions. Using service include SQL and Python to clean, transform, and analyse data. Supporting users across the business with training and reporting guidance. Contributing to our journey into AI and advanced analytics. Identifying opportunities to More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

Studio, VA, VI). Familiarity with Platform LSF , Jira , and GIT . Hands-on experience with ETL tools: Pentaho , Talend . Data virtualization experience with Denodo . Proficiency in SQL and data modeling. Knowledge of Oracle (nice to have). Solid understanding of Agile/Scrum frameworks. Experience with DevOps tools (Jenkins, Git, Docker, Kubernetes). Excellent problem-solving and More ❯

of AI assurance, including model governance, algorithmic transparency, Technical experience with data and AI platforms: Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS, Azure, or similar. Proficiency with analytics tooling: SQL, Python, Alteryx, Tableau, Power BI, or other BI/ETL tools. More ❯

ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using More ❯

8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile More ❯