1 to 25 of 1,928 Remote SQL Jobs in England

Job Title: Mid-level/Senior SQL Server DBA Location: Completely Remote role, can be Located anywhere in the UK! Salary: £50k - £65k per annum Depending on Experience, 26 days annual leave, 10% pension contribution, Life Insurance. We're proud to be a trusted leader in database administration managed services. Our expertise keeps some of the nation's most recognisable … At the heart of everything we do is a passion for solving complex challenges, ensuring our clients stay connected, supported, and ready for the future. The Mid/Senior SQL Server DBA will be responsible for ensuring the performance, security, and effective administration of client databases. Principal Accountabilities: Configure and maintain a range of client environments including monitoring system health … and proactively managing performance to ensure high levels of performance, availability and security. Extensive experience managing SQL Server Infrastructure Understand the needs of multiple clients and their users. Combine high customer service standards with a strong commercial awareness. Take a proactive approach to assessing client's current and future requirements, providing advice and recommendations to client's technical teams and More ❯

Hybrid working 2/3 days on site in Stevenage OR Bolton - 1st class career progression & skill up ops - 14% pension - plus more What do I need? - Skills with SQL - MS SQL, SQL Server, Oracle or similar - Experience with ETL, API, ESL or similar - Hands on with coding languages such as Python, Bash or similar - Knowledge of Big Data tech More ❯

and cost management. Knowledge of data security, compliance, and governance in Azure, including Azure Active Directory (AAD), RBAC, and encryption. Experience working with big data technologies (Spark, Python, Scala, SQL). Strong problem-solving and troubleshooting skills. Excellent communication skills with the ability to collaborate with cross-functional teams to understand requirements, data solutions, data models and mapping documents. Preferred More ❯

New York, and Ireland. Key Responsibilities: Design, implement, and optimize Oracle Data Warehouse systems, ensuring scalability, performance, and alignment with analytics needs. Develop efficient ETL processes and optimize complex SQL and PL/SQL scripts. Provide guidance on data modelling, indexing, and partitioning strategies. Troubleshoot and resolve performance, ETL, and data pipeline issues while maintaining data quality. Support .NET development … ensure business continuity. Serve as a technical consultant for cross-functional projects, advising on data architecture and performance optimization. Key Skills & Experience: Strong expertise in Oracle Database, PL/SQL, SQL, ETL design, data modeling, indexing, and partitioning . Experience in supporting enterprise-scale Oracle Data Warehouse environments. Proven ability to troubleshoot complex data and ETL issues. Familiarity with working More ❯

New York, and Ireland. Key Responsibilities: Design, implement, and optimize Oracle Data Warehouse systems, ensuring scalability, performance, and alignment with analytics needs. Develop efficient ETL processes and optimize complex SQL and PL/SQL scripts. Provide guidance on data modelling, indexing, and partitioning strategies. Troubleshoot and resolve performance, ETL, and data pipeline issues while maintaining data quality. Support .NET development … ensure business continuity. Serve as a technical consultant for cross-functional projects, advising on data architecture and performance optimization. Key Skills & Experience: Strong expertise in Oracle Database, PL/SQL, SQL, ETL design, data modeling, indexing, and partitioning . Experience in supporting enterprise-scale Oracle Data Warehouse environments. Proven ability to troubleshoot complex data and ETL issues. Familiarity with working More ❯

Required Qualifications Technical Skills Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field Demonstrable experience in data analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting applications) Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot 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 ❯

Computer Science, Data Science, or a related field. Minimum 4 years of experience years of experience in data engineering, data integration, or a related role. Technical Skills: Proficiency with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB), with hands-on experience in query optimization and data modelling. Strong programming skills in Python (preferred), with a focus on building scalable More ❯

understanding of data design principles, data security, data protection, and regulatory compliance. Power BI Developer/PowerBI Developer Expected Technical Skills & Qualifications: Microsoft certifications e.g., MCSA in Cloud Platform, SQL BI Development, BI Reporting or Data Engineering with Azure Expert in the use of PowerBI to create meaningful and aesthetically pleasing reporting and analytics. Experience with Microsoft BI stack (T … SQL, SQL Server database, SSIS, SSAS, SSRS, and PowerBI). Proficiency in languages such as Python and SQL, commonly used in Azure data processing. Use of Azure Data Factory for designing and managing ETL workflows. Experience with Microsoft Azure, including deploying and managing data solutions in Azure. Use of Azure Logic Apps for workflow orchestration. Ideally experience of Integration of More ❯

as sprint planning, story refinement, and backlog grooming. Required Skills & Experience 5+ years of experience as a data or business analyst in a trading or energy environment. Proficiency in SQL and Python for data querying and transformation. Solid background in data reconciliation, testing, and profiling . Experience with relational databases and data warehousing concepts. Exposure to market data and financial More ❯

solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills More ❯

you'll bring Proven hands-on experience with Dynamics 365 CE and Power Platform. Proficiency in: Omnichannel & CoPilot Studio Power Apps, Power Automate, Power BI C# (.NET), JavaScript, HTML, SQL Experience with Azure integration and managing Dataverse environments . Familiarity with Agile methodologies and tools like Azure DevOps for CI/CD. Strong analytical, problem-solving, and communication skills. Ability More ❯

degree or higher Significant experience building and leading teams delivering cross-functional projects. Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. We create a More ❯

machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder More ❯

machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder More ❯

machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python, SQL, and Spark Experience with data modelling, ETL/ELT processes, and pipeline orchestration Familiarity with CI/CD and DevOps practices in a data engineering context Excellent communication and stakeholder More ❯

Builder, RPA (Robotic Process Automation), and Power Virtual Agents. Familiarity with Agile and DevOps methodologies. Previous experience integrating Power Platform solutions with enterprise systems such as SAP, Salesforce, or SQL databases. More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

and development Apply agile methodologies (Scrum, pair programming, etc.) to deliver value iteratively Essential Skills & Experience Extensive hands-on experience with programming languages such as Python, Scala, Spark, and SQL Strong background in building and maintaining data pipelines and infrastructure In-depth knowledge of cloud platforms and native cloud services (e.g., AWS, Azure, or GCP) Familiarity with database technologies such More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, Sagemaker or Unified Studio (one of required). Ability to validate, test, and build More ❯

and techniques (e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or More ❯

tools such as Postman or Swagger to observe behaviour of APIs Technical awareness and experience of a service architected platform Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI Proficiency in designing and implementing data models Strong understanding of BI concepts and tools Must have experience with client-facing applications and digital transformation Experience with More ❯