1 to 25 of 191 SQL Jobs in the West Midlands

SQL Database Administrator – Based Onsite in Meriden (5 days per week) Pertemps, the UK’s largest independent recruitment agency, is seeking an experienced SQL Database Administrator to join our internal IT team. This is a full-time, permanent, onsite role based in Meriden, CV7 (please note this is not a hybrid or remote position). We are looking for a … highly skilled professional with at least 5 years’ experience in SQL Server administration and related technologies. You will play a key role in managing and optimising our databases, supporting business-as-usual teams, and delivering internal projects. Our team has recently developed an Azure SQL Data Warehouse , so knowledge of Azure Data Factory (ADF) and hands-on experience with ETL … out tuning and re-architecture where required to maximise performance and cost efficiency. Salary: Up to £55,000 per annum (depending on experience) Key Responsibilities Administer, maintain, and troubleshoot SQL Server databases across the organisation. Implement and manage Database Security Patch Management and Database Access Management . Support and optimise Azure SQL databases and managed instances (PaaS) . Oversee database More ❯

data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools (Excel, Azure, Power Platform More ❯

data literacy. Who We’re Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools (Excel, Azure, Power Platform More ❯

data literacy. Who We're Looking For: Proven experience with Power BI, DAX, Power Query, and data modeling. Strong understanding of data warehousing concepts and ETL processes. Proficiency in SQL and experience working with relational databases. Excellent problem-solving and communication skills. Ability to work independently and manage multiple projects simultaneously. Experience with other Microsoft tools (Excel, Azure, Power Platform More ❯

using Power BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and More ❯

integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business More ❯

Customer Service, Sales, Marketing) and the Power Platform (Power Apps, Power Automate, Power Pages) Proven experience in Power Platform Application Lifecycle Management Proficiency in C# .NET, JavaScript, HTML, and SQL Experience working within agile and DevOps environments Knowledge of Azure services and their integration with Dynamics and Power Platform Experience managing and optimising large-scale Dataverse environments Expert-level familiarity More ❯

grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured More ❯

with SAS for data analysis purposes, and previous data visualisation experience would be desirable - Skills in DevOps would be beneficial, particularly related to containerisation and CI/CD pipelining - SQL data modelling experience would be desirable - Previous experience working within an Agile development environment - Excellent communication skills, both written and verbal If you are looking to take the next exciting More ❯

agile ceremonies, code reviews, and solution design reviews. Required Skills & Experience: 10+ years of experience in data engineering, BI, or data architecture roles. Strong expertise in Azure Synapse, ADF, SQL, and Power BI. Proven experience in designing and implementing dimensional models and semantic layers. Familiarity with metadata management tools (e.g., Collibra) and model curation tools (e.g., Tabular Editor). Excellent More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

teams. Collaboration : Partner with senior leadership and cross-functional teams to ensure data-driven decision-making is embedded across the business. What We're Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design More ❯

teams. Collaboration : Partner with senior leadership and cross-functional teams to ensure data-driven decision-making is embedded across the business. What We're Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯

experience we are looking for Bachelor's or master's degree in computer science, engineering, or related field Prior industry experiences developing in AWS, Cloud Services, Java, Spring & Non-SQL technologies such as MongoDB Experience with micro-services, java deployments & devOps tools such as Gitlab Full understanding of software development lifecycle best practices An ability to drive to goals and More ❯

within the team. Skills & Attributes: Proven experience in a credit risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to translate data More ❯

innovative automation solutions. Ability to manage multiple tasks and competing priorities effectively. Experience working in an Agile environment (Kanban, Scrum). Knowledge of scripting or coding languages such as SQL or Python (desirable). Bring a problem-solving mindset, combining logical thinking with creativity to build effective solutions. Communicate clearly and effectively, both within the automation team and with business More ❯

data integration and automation projects Proficiency with CRM systems (Dynamics) Strong working knowledge of Power BI, Excel, and/or automation tools like Power Automate Strong proficiency in Python, SQL, DAX, and Power Query (M language) Strong analytical skills with the ability to translate data into actionable insights. Strong communication skills, able to work effectively across teams. Excellent organisation skills More ❯

Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Handle file operations and trigger-based workflows using Google Cloud Storage. Configure and manage access controls using Google Cloud IAM (service accounts and permissions). Integrate More ❯