1 to 25 of 43 SQL Jobs in Birmingham

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 ❯

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 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 ❯

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 ❯

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 ❯

ready. Backend integrates seamlessly with frontend and mobile platforms. Support continuous improvement and technical excellence across the team. Skills & Experience Essential: Strong hands-on experience with: C#, .NET Core, SQL Azure Function Apps, API Manager, App Insights CI/CD automation (Azure DevOps or equivalent) Experience working in Agile teams (Scrum/Kanban). Comfortable working in cross-functional teams 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 ❯

implementing production changes Develops product specifications while designing testing procedures and standards Adept solutions designer and problem solver Proven experience using these technologies would be advantageous: Java EE (J2EE), SQL, Oracle, Unix/Linux, MQ, WebSphere, UrbanCode Experience in use of Agile tooling is essential About working for us Our focus is to ensure we're inclusive every day, building 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 ❯

re looking for 3+ years' experience with .NET (C#, ASP.NET Core, WPF) Solid front-end skills with JavaScript/TypeScript and frameworks such as React or Vue Database experience (SQL or NoSQL) Understanding of RESTful APIs, SPA, and MVC patterns Strong grasp of responsive web design (HTML5, CSS) Familiarity with version control (Git/SVN) Analytical mindset, excellent communicator, and 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 ❯

SQL Analyst Up to £50K plus benefits Birmingham Role Summary We are seeking a skilled and motivated SQL Analyst. In this role, you will play a vital part in analysing, creating, implementing, and maintaining data infrastructure, ensuring the seamless operation of corporate IT systems. This is a unique opportunity to contribute to our journey of innovation, efficiency, and customer excellence. … gather analytics requirements and deliver tailored BI solutions. Streamline business processes by creating system interfaces and automation using APIs and web services. Experience Required In-depth knowledge of Microsoft SQL Server (2017 and above), including SSMS, SSRS, SSAS, SSIS, and SQL scripting. Expertise in database development, data cubes, and data marts. Proficiency with data visualisation tools like Power BI, Tableau … or SAP BusinessObjects. Familiarity with cloud data services such as Azure SQL or AWS Redshift. Understanding of IT networking technologies (e.g., DNS, DHCP). Strong experience in IT, specifically in database administration and data solutions. 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 ❯

customization, and integration capabilities. Experience with SuiteFlow, SuiteTalk, RESTlets, and SuiteBundler is preferred. Knowledge of NetSuite SuiteCloud Development Framework (SDF) is a plus. Solid understanding of database concepts and SQL queries. Ability to analyze complex business requirements and translate them into technical solutions. Detail-oriented with a focus on delivering high-quality, maintainable code. Excellent communication skills to collaborate effectively 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 ❯

Minimum of 5 years' experience in a similar role, Strong knowledge of Object-Oriented Programming (OOP) and version control systems, Experience with database configuration and querying (e.g., MySQL, MS SQL), Experience with Ignition (Vision or Perspective) or similar technologies. Proficient in scripting with Python, Java, or similar programming languages. We appreciate your CV may not be up to date. No More ❯

documentation for tooling deployments, automation (including CI/CD), recovery, testing, and implementation planning. Solid scripting and development skills across a range of technologies including Python, PowerShell, HTML, JavaScript, SQL, XML, REST, SOAP, and experience developing operational procedures, processes, and scripts. Proven track record of working effectively within ITIL-aligned environments, with hands-on experience using ITSM platforms such as More ❯

Azure Synapse, or Databricks - experience with at least one of these platforms is essential. Build scalable data lake solutions using medallion architecture principles. Migrate legacy on-premises data systems (SQL Server, SSIS, SSAS, SSRS) to cloud-based platforms. Create insightful dashboards and reports using Power BI to support data-driven decision-making. Provide post-deployment support and continuous improvement of … data solutions. Required Experience: Proven experience in Data Engineering or Data Warehouse Development. Hands-on expertise with Microsoft Fabric, Azure Synapse, or Databricks. Strong SQL and Python skills, including stored procedures and notebooks. Knowledge of data lake design and large-scale data integration. Familiarity with Power BI, MDX/DAX, and data warehousing concepts. Certifications such as DP-600, DP More ❯

Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be well-suited to a Data Engineer looking to take their first-step into Consultancy, or someone who is … on both personal and professional development! We are looking for experience in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL and Python Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design More ❯

Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation). … skills and ability to explain complex concepts clearly Nice to Have (But Not Required): Familiarity with data visualisation tools like Tableau, Power BI, or matplotlib/seaborn Experience with SQL and querying databases Exposure to cloud platforms (e.g., AWS, GCP, or Azure) Knowledge of version control systems (e.g., Git) Participation in data science competitions (e.g., Kaggle) or hackathons What You More ❯