1 to 25 of 49 SQL Jobs in Reading

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

geometries), support automation, and carry out accuracy checks on transformed datasets What You’ll Bring: Proven experience as a Data Analyst in a data-focused, engineering-led environment Strong SQL skills and a working knowledge of data visualisation platforms (Power BI, Tableau, Looker, etc.) Hands-on experience with large datasets and a strong analytical mindset Familiarity with geospatial data and More ❯

compelling data visualisations and narratives. Support change management, adoption, and user training. Technical Skills (Required/Desirable): Azure Data Factory, Synapse, Databricks, Microsoft Fabric. Data warehouse & lakehouse architecture. Strong SQL, Python, ETL/ELT knowledge. Power BI and data visualisation tools. Agile delivery experience. You’ll Have: 5+ years in Microsoft data technologies. Strong consulting and stakeholder management experience. Excellent More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

patterns & APIs (REST, SOAP) Understanding of Agile methodologies, working within a software development team, utilising Source Control Already have the right to work full-time in the UK Desirable: SQL (ideally SQL Server) Experience with Microservice Architecture and modelling techniques such as Event Storming Existing knowledge of C# or Python Use of Microsoft Azure or alternatively AWS Benefits: Help to More ❯

patterns & APIs (REST, SOAP) Understanding of Agile methodologies, working within a software development team, utilising Source Control Already have the right to work full-time in the UK Desirable: SQL (ideally SQL Server) Experience with Microservice Architecture and modelling techniques such as Event Storming Existing knowledge of C# or Python Use of Microsoft Azure or alternatively AWS Benefits: Help to More ❯

UK driving license and or a willingness to travel. What you should bring to the role Experience in producing detailed management reports. Strong analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Extensive More ❯

Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure, or Redshift. A creative, insight-driven approach to data visualisation More ❯

of 2) Extensive Data Engineering and Data Analytics hands-on experience Significant AWS hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced Database and SQL skills Certifications : AWS or FME certifications are a real plus. Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks or similar is a bonus. The role comes More ❯

DevSecOps alignment. You Have - Proven experience building modern data pipelines in Azure Databricks, including asset bundles, Unity Catalog, and Delta Live Tables. - Strong Python and PySpark skills, alongside advanced SQL proficiency for query performance, data modelling, and transformation logic. - Hands-on experience with version control (Git), CI/CD pipelines, and Agile development workflows in a data engineering context. - Demonstrated More ❯

For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who More ❯

delivery Help establish and maintain enterprise-wide data governance standards Core Technical Requirements of the Data Engineer Azure Data Factory mastery - demonstrable expertise in pipeline development and management Proficient SQL and/or Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation More ❯

to take place since the birth of the World Wide Web. .NET Developer applicants should have a skill set that encompasses: .NET, .NET Core/ASP.NET MVC, C#, Azure SQL and Agile. Full training will be provided into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. Our client offers a truly refreshing More ❯

non-technical audiences, including senior stakeholders What You'll Bring 5+ years of experience in MI/BI roles within operational or service delivery environments Strong Power BI and SQL skills; experience with large, complex datasets Experience with cloud platforms (Azure, AWS), g it version control Model automation, Kafka Proven ability to build reporting from scratch and deliver end-to … non-technical audiences, including senior stakeholders What You'll Bring 5+ years of experience in MI/BI roles within operational or service delivery environments Strong Power BI and SQL skills; experience with large, complex datasets Experience with cloud platforms (Azure, AWS), g it version control Model automation, Kafka Proven ability to build reporting from scratch and deliver end-to More ❯

Water Court, Reading. Working pattern - Monday to Friday, 36 hours. What you should bring to the role Essential Solid experience as a Data Engineer. Azure Data Factory expert. Excellent SQL and/or Python skills. Extensive experience in Data Engineering. Proficient with Data Warehousing Solutions and Data Modelling. Has excellent interpersonal skills and is fully experienced at dealing with stakeholders. More ❯

imports and fragmented system inputs Collaborating across Sales, Finance, and IT to stabilise infrastructure and improve analytics capability ✅ What we’re looking for: Strong programming skills in Python and SQL , with experience handling large or messy datasets Comfortable working across fragmented data systems (e.g. Salesforce, ERP, CRMs) Experience in forecasting, sales analytics, or financial performance reporting Strong communication skills with More ❯

in the HM Land Registry programme, helping modernise land charge registers across England and Wales. Requirements: Proven experience as a Data Analyst in data-driven or engineering environments. Strong SQL skills and hands-on experience with large datasets. Proficient in data visualisation tools like Power BI, Tableau, or similar. Bonus: Experience with Python/R, geospatial tools (e.g. FME, QGIS More ❯

CSRF, CORS, cookie management). Write and maintain unit and functional tests (Cypress, Mocha, Jest, etc.). Monitor and troubleshoot applications using Splunk, StackDriver, Datadog, or Grafana. Work with SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis. Optimise Back End performance for high availability and resilience. What You Must Bring Strong expertise in Node.js, including asynchronous programming and More ❯

with BI to move toward more advanced tooling (Fabric, Python, AI-led analytics) Use tools such as Adobe Campaign and Adobe Analytics to understand customer journeys Tech Stack & Tools : SQL (essential) Tableau or Power BI Adobe Campaign and Adobe Analytics (nice to have) Python (desirable – direction of travel) Any experience with automation or AI in reporting would be a strong More ❯

or more of JavaScript/Typescript, React/Node.js Expertise in Flask web framework Experience in message brokers such as RabbitMQ Expertise in relational databases, ORM and PL/SQL Experience with microservice architectures Public cloud platforms (e.g. Azure) IAM, OAuth 2.0, etc. Research has shown that women are less likely than men to apply for this role if they 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 ❯

contributing to wider data and platform improvements Key Requirements Hands-on experience working with UK mortgage data (e.g. onboarding, lending, redemptions, securitisation) Strong technical skills with Power BI, T-SQL, SSRS and Excel (advanced) Experience working with Kimball/star schema data warehouse environments Ability to interpret business requirements and apply software development lifecycle principles Exposure to regulatory environments and More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

the customer database, ensuring it delivers accurate and actionable insights. There is a clear ambition for innovation and drive data within the business. SKILLS + EXPERIENCE You must have SQL experience Dashboarding experience in either Tableau or Power BI Ideally you will come from an Ecommerce/Retail background Any Adobe Campaign or Adobe Analytics experience will be ideal HOW More ❯