1 to 25 of 218 SQL Jobs in the West Midlands

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 ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing 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 ❯

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 ❯

Python and API development Experience or strong interest in data engineering, data pipelines, and automation Solid understanding of TypeScript/JavaScript and back-end integration principles Familiarity with databases (SQL/NoSQL) and data transformation techniques Comfortable collaborating in cross-functional technical teams Desirable: Background in Data Analysis or Full Stack Engineering Exposure to cloud platforms (AWS/Azure/ More ❯

Python and API development Experience or strong interest in data engineering, data pipelines, and automation Solid understanding of TypeScript/JavaScript and back-end integration principles Familiarity with databases (SQL/NoSQL) and data transformation techniques Comfortable collaborating in cross-functional technical teams Desirable: Background in Data Analysis or Full Stack Engineering Exposure to cloud platforms (AWS/Azure/ More ❯

the report development lifecycle Strong experience of developing and maintaining performant BI reports and dashboards Expertise in BI platforms like Power BI or equivalent including DAX or similar Strong SQL Skills Statistical methods and data analysis skills Excellent analytical and problem-solving skills Exceptional communication and presentation skills in order to explain complex concepts to non-technical or senior stakeholders More ❯

CI/CD and DevOps practices for data workflows. What We're Looking For Proven experience as a Data Engineer or in a similar role. Strong coding skills in SQL , Python , and PySpark . Hands-on experience with Azure cloud services. Proficiency in Power BI , including DAX , semantic models , and Power Query M . Experience with Microsoft Fabric and modern 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 ❯

within a manufacturing environment (experience with systems such as SAP, Epicor, Microsoft Dynamics, Infor, NetSuite, or similar). Strong proficiency with data visualisation and BI tools (Power BI essential, SQL or similar database knowledge advantageous). Understanding of CAD/CAM software and its role in manufacturing workflows. Good knowledge of manufacturing processes, lean principles, and Industry 4.0 concepts. Strong More ❯

You'll Bring This role demands strong technical capability and creative problem-solving. You will be expected to leverage tools such as Power BI, Power Fx, JavaScript, JSON, and SQL to deliver insights and functionality that empower decision-making across the business. A working knowledge of Azure services, REST APIs, and custom connector development will be advantageous, as will familiarity 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 ❯

CI/CD and DevOps practices for data workflows. What We’re Looking For Proven experience as a Data Engineer or in a similar role. Strong coding skills in SQL , Python , and PySpark . Hands-on experience with Azure cloud services. Proficiency in Power BI , including DAX , semantic models , and Power Query M . Experience with Microsoft Fabric and modern More ❯

analysis frameworks and Agile methodologies. Hands-on experience with DevOps tools: GitHub, Jenkins, Nexus, Docker, Kubernetes. Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible. Proficiency in SQL, Excel, and visualization tools (Power BI, Tableau). Experience with REST APIs, Postman, and basic scripting (Python, Shell). Excellent communication and stakeholder management skills More ❯

Education & Experience 3–5 years in BI architecture and team leadership Degree in Data Science, Computer Science, Information Systems, or related field Extensive hands-on experience with Azure Fabric, SQL warehousing, and Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Background in social care, childcare, or 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 ❯

e.g., Lambda, S3, EC2, RDS, DynamoDB). Familiarity with modern development practices, including Agile methodologies, CI/CD pipelines, and microservices architecture. Solid understanding of RESTful APIs, database management (SQL & NoSQL), and cloud-native development. Strong problem-solving skills and the ability to work independently as well as in a team. Excellent communication skills and the ability to work collaboratively More ❯

ll Bring Technical Skills Strong hands-on experience with Azure Data Lake Gen2, Azure Data Factory, and Azure Active Directory. Advanced skills in data modelling (conceptual, logical, physical) and SQL for complex transformations. Proven ability to design and build high-performance ETL/ELT pipelines. Understanding of data governance, security, and access control frameworks. Knowledge of batch and real-time More ❯

and semantic model design • Experience working with Power BI Premium and optimising for performance and scalability • Strong understanding of data architecture principles (e.g. star schema, data lakehouse environments) • Solid SQL experience for data transformation, validation, and extraction • Proven experience building reusable, governed datasets across reporting domains • Demonstrated ability to automate manual reporting processes in a commercial environment • Experience supporting and 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 ❯

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 ❯

in data engineering, particularly within the AWS ecosystem. Skills & Experience Strong hands-on experience with AWS (S3, Redshift, Glue, Lambda, Athena). Skilled in Airflow for workflow orchestration. Advanced SQL and proficient in Python for data engineering. Experience with data modelling (e.g. dimensional) and familiarity with NoSQL databases (e.g. Elasticsearch). Confident using Git and CI/CD pipelines. Solid More ❯