1 to 25 of 2,481 Permanent SQL Jobs in the UK excluding London

Job Title: Mid-level/Senior SQL Server DBA Location: Completely Remote role, can be Located anywhere in the UK! Salary: Depending on Experience Join a Team That Powers the Nation's Data At WellData, we're the trusted backbone behind some of the UK's most recognisable brands. Our managed services keep mission-critical databases secure, high-performing, and … future-ready. Now, we're looking for a skilled SQL Server DBA to help us push boundaries, solve complex challenges, and deliver excellence across diverse client environments. Whether you're mid-career or a seasoned expert, this is your chance to work remotely, flex your technical muscles, and make a real impact. About the role: Administer and optimise SQL Server … base Fostering a collaborative approach to inclusive teamworking Participate in a 24/7 on-call rota (shared across the team) About you: What You Bring Deep expertise in SQL Server infrastructure and database administration Strong grasp of backup/recovery models, replication, and performance tuning Proficiency in T-SQL and PowerShell scripting (bonus points!) Experience with HA solutions: Availability More ❯

end development experience Strong proficiency in C# and .NET Core/ASP.NET Core Experience with Azure cloud services Solid understanding of RESTful API design principles and implementation Experience with SQL databases (Azure SQL, SQL Server) and T-SQL Knowledge of software design patterns and SOLID principles Experience with version control (Git) and agile development methodologies Strong problem-solving skills and More ❯

actionable insights that drive smart decisions across the business. About the Role As part of the IT & Data team, you ll design and maintain Power BI dashboards, write efficient SQL (SQL Server & PostgreSQL), and use Python to automate data workflows and improve reporting. You ll collaborate with teams across the business to translate requirements into effective data solutions and support … Occasionally, you ll coordinate with our Managed Service Provider (MSP) and handle minor on-site IT tasks. Key Responsibilities Build and maintain Power BI reports and dashboards. Write efficient SQL queries (joins, CTEs, window functions). Use Python for data wrangling, analysis, and automation. Ensure data accuracy, consistency, and governance. Collaborate with stakeholders to define visuals and metrics. Use GitHub … and workflow management. Support automation using low-code tools and integrations. Coordinate with the MSP for IT issue resolution. What We re Looking For Essential: Strong Power BI and SQL skills (SQL Server/PostgreSQL). Working knowledge of Python for data automation. Data visualisation and modelling expertise. Familiarity with GitHub and collaborative workflows. Excellent communication and problem-solving skills. More ❯

actionable insights that drive smart decisions across the business. About the Role As part of the IT & Data team, you’ll design and maintain Power BI dashboards, write efficient SQL (SQL Server & PostgreSQL), and use Python to automate data workflows and improve reporting. You’ll collaborate with teams across the business to translate requirements into effective data solutions and support … Occasionally, you’ll coordinate with our Managed Service Provider (MSP) and handle minor on-site IT tasks. Key Responsibilities Build and maintain Power BI reports and dashboards. Write efficient SQL queries (joins, CTEs, window functions). Use Python for data wrangling, analysis, and automation. Ensure data accuracy, consistency, and governance. Collaborate with stakeholders to define visuals and metrics. Use GitHub … and workflow management. Support automation using low-code tools and integrations. Coordinate with the MSP for IT issue resolution. What We’re Looking For Essential: Strong Power BI and SQL skills (SQL Server/PostgreSQL). Working knowledge of Python for data automation. Data visualisation and modelling expertise. Familiarity with GitHub and collaborative workflows. Excellent communication and problem-solving skills. More ❯

for a Senior Engineer to join our growing team. Day to Day You'll Be: Develop, maintain, and enhance Business Intelligence Solutions, including database systems and Data Warehouses, using SQL Server 2017, Integration Services, Analysis Services, Reporting Services and Master Data Management, Microsoft Excel, Power BI, Fabric as appropriate. Produce and run unit tests to ensure high quality of all … track record years of experience working in a business intelligence, data engineering or data related field. Must have a passion for programming and data analytics Advanced knowledge of T-SQL, SQL Server, and SQL Server Integration Services (SSIS). Advanced level familiarity with BI technologies (e.g., Power BI, SSAS, SSRS). Advanced experience using automated testing (e. g SQL Server … Experience with PowerBI Experience in data warehouse design (e.g., dimensional modelling) Experience with cloud technologies and Python would be considered as advantage. Commercial experience of Business Intelligence development using SQL Server 2017 and higher version, SSDT Including IS/AS/RS, stored procedures, views, and functions Experience of SQL Server 2017 Analysis Services (Tabular) PowerPivot Experience of writing unit More ❯

similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to More ❯

years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

identify opportunities for improving data quality, reliability, automation, and reusability Experience & Skills Required We're looking for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders More ❯

identify opportunities for improving data quality, reliability, automation, and reusability Experience & Skills Required We're looking for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

job instead. •Professional experience in full stack software development, ideally in a data-focused or product orientated environment. •Strong backend development experience, particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). •Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar). •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a More ❯

role Proven experience in data analysis, engineering, or a related field, ideally within the built environment or engineering sector. Strong proficiency in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯