1 to 25 of 57 SQL Jobs in Birmingham

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 ❯

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 ❯

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 ❯

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 ❯

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 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 ❯

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 ❯

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 ❯

experience) in a numerical/statistical field Proven experience delivering analysis in a policy or regulatory setting Strong communication skills to explain data-driven insights Proficiency in Python, R, SQL, PowerBI and experience with large datasets Collaborative and adaptable working style Desirable: Knowledge of, Git, AzureDevOps, and Agile/DataOps practices.£41k - £52k per year plus benefitsPermanent positionHybrid working - Attendance More ❯

in .NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Training will be provided into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. All positions come with the following benefits: 15% bonus Generous pension Private healthcare Training allowance of £9,700 per year Free lunch Free gym membership Flexible working hours More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

DATA ENGINEER - PRIVATE HEALTHCARE - SNOWFLAKE, AZURE, ETL, SQL POWER BI, SSRS, PYTHON Progressive, forward thinking, innovative international private healthcare organisation urgently require a talented Data Engineer to help then shape the future state of the organisation You will: Help create and develop data as they move forward into their new Snowflake environment to ensure they deliver critical d click apply More ❯

with the team being spread between London and Birmingham. The team goes in on Thursday for facetime and events. Tech Stack: NET 8 Ideally (.net 5 and above), C#, SQL, Angular, Typescript, JavaScript, Azure DevOps. If you want to know catch up about the position in more detail or see a spec. Apply here and we can catch up. More ❯

English; additional European languages are an advantage. Willingness to travel occasionally across Europe. Desirable Skills and Experience Experience with nomination processes, auction bidding, or algorithmic trading. Technical experience with SQL, APIs, reporting tools (e.g., Power BI), and system integrations. For a quick turn around on your application apply now More ❯

/workflow development Strong JS/HTML/CSS dev. to support bespoke interface development Strong general .power automate background Insightful entity architecture, grounded in solid MS/Fetch SQL Excellent communicator, capable of engaging at all levels with customers Distributed team dev. inc source control appreciation, esp. GIT and CI Windows certifications, e.g. multiple MCPs or an MCSE" Experience More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

A degree in Software Engineering, Computer Science, or a related subject (or equivalent experience). Knowledge of programming and web technologies such as HTML5, CSS3, JavaScript/React, Node.js, SQL, JSON, and API development. Strong problem-solving and analytical ability, with a willingness to learn and take on new challenges. Enthusiasm for low-carbon technologies, sustainability, and innovative data solutions. More ❯

bringing structure, insight, and clarity to decision-making. What you'll bring Strong Excel analysis and reporting skills, Confident handling large datasets, pivot tables, lookups, and data validation. However, SQL, Python and Reporting (BI) tools are also welcomed for this role. A naturally curious mindset - someone who enjoys investigating data to uncover what's really going on. Experience in fleet More ❯

relevant to the jobs you have completed. Personal statement - This is your opportunity to evidence clear examples of how you meet the following: Solid understanding of relational databases and SQL scripting. Detailed working knowledge and experience of development and deployment in Cloud environments (AWS, Azure). Proven ability of supporting and maintaining complex legacy applications in live environments. Demonstrable experience More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. More ❯

take ownership of cloud infrastructure, and help shape the future of support operations. Key Responsibilities Provide support across desktop environments, Windows systems, databases, and hosted applications. Diagnose and optimise SQL performance issues Deliver high-quality professional services, including data migrations, system installations, and transfers. Contribute to the development of internal support infrastructure, such as ticketing systems and knowledge-sharing platforms. More ❯

Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation and Bayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting professional development, and encouraging collaboration. Commercial awareness and experience More ❯