251 to 275 of 4,807 Permanent SQL Jobs

data You’ll need to have: Full rights to work in the UK permanently 4 years’ experience in data analytics or data science working with complex data Excellent demonstratable SQL skills including complex queries and stored procedures Solid Python and Spark/Databricks skills and an understanding of delta tables Strong numerical, data handling and analytical skills in relation to More ❯

Knowledge of ASP.NET Core and design/architectural patterns like MVC. Experience consuming data from web services using technologies such as web APIs, OAuth, and gRPC. Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework. Exposure to Java for Android, Objective-C, or Swift. Experience More ❯

of ASP.NET Core and design/architectural patterns like MVC. Experience consuming data from web services using technologies such as web APIs , OAuth , and gRPC . Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework . Exposure to Java for Android, Objective-C , or Swift More ❯

on experience developing solutions using Microsoft Azure Proficiency in one or more programming languages ( C#, .NET, Python, Node.js ) Strong knowledge of Azure services: App Services, Functions, Containers, Key Vault, SQL, Storage, Event Hub Experience implementing Infrastructure as Code (Terraform, Bicep, or ARM templates) Solid understanding of CI/CD pipelines and automation practices Good grasp of cloud security, networking , and More ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how 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 ❯

major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/Data Lakes. Proficiency in SQL for data extraction and analysis. Strong experience with data visualization tools such as PowerBI and Tableau. Understanding Java is a plus. Desired Behaviors Independence: Ability to solve complex problems independently More ❯

data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. More ❯

promote inclusive collaboration, encourage new ideas, and play a key part in pushing our data capabilities to the next level. What you'll bring Technical Excellence: Advanced Python and SQL skills, with hands-on experience in relational and dimensional data modelling. Modern Data Engineering: Proven ability to design and deliver scalable solutions using tools like Microsoft Fabric (strongly preferred), Synapse More ❯

will also explore and implement alternative ways of working, challenging the status quo to meet evolving business needs. To be successful in this role you will have a strong SQL skills, excellent analytical skills, experience in stakeholder management, technical development skills and the ability to influence and drive change across various levels of the organisation. If you are passionate about More ❯

will also explore and implement alternative ways of working, challenging the status quo to meet evolving business needs. To be successful in this role you will have a strong SQL skills, excellent analytical skills, experience in stakeholder management, technical development skills and the ability to influence and drive change across various levels of the organisation. If you are passionate about More ❯

will also explore and implement alternative ways of working, challenging the status quo to meet evolving business needs. To be successful in this role you will have a strong SQL skills, excellent analytical skills, experience in stakeholder management, technical development skills and the ability to influence and drive change across various levels of the organisation. If you are passionate about More ❯

analytics or engineering, within the financial services sector. Advanced proficiency in Power BI and Microsoft Dynamics 365 (including marketing and sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures and ETL pipelines. Proven ability to manage multiple priorities and deliver projects More ❯

analytics or engineering, within the financial services sector. Advanced proficiency in Power BI and Microsoft Dynamics 365 (including marketing and sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures and ETL pipelines. Proven ability to manage multiple priorities and deliver projects More ❯

backend languages and frameworks such as Python, NodeJS, Next.js, Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures More ❯

Data Analyst (BI & SQL) 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 … 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 ❯

to take technical ownership of core financial systems. You will technically lead a small but growing team, bringing critical applications and integrations back in-house and driving modernisation across SQL Server, SSIS, and C#-based solutions.This role sits within the Core Finance Development team, focusing on data integration, automation, and reporting across financial and insurance systems. You will work closely … BA, 3 Developers) and support their ongoing development. Own and enhance in-house financial and insurance data systems, previously supported by vendors. Design, develop, and maintain C# and SQL Server solutions. Develop and optimise SSIS and SSAS packages for data warehousing and reporting. Support data integration across multiple systems including cash management and automated payment systems. Ensure documentation and best … delivery. Drive adoption of new tools and technologies to enhance team efficiency and data quality. Skills & Experience Strong background in software development and technical leadership. Expertise in C#, .Net, SQL Server, SSIS, and SSAS. Experience in data integration, ETL development, and data warehouse environments. Previous exposure to financial or insurance systems highly desirable. Strong analytical and problem-solving skills with More ❯

. Expertise in BigQuery (BQ) for data warehouse design, query performance, and analytics. Solid understanding of ETL/ELT design patterns, data modeling, and data lake architectures. Proficient in SQL and at least one programming language (Python, Scala, or Java). Experience with CI/CD, version control (Git), and infrastructure-as-code tools (Terraform, CloudFormation, etc.). Knowledge of More ❯

Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with More ❯

Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with More ❯

practices. Producing clear technical documentation for workflows, architectures, and configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with Microsoft Purview More ❯

In conjunction with data colleagues, support the development of agency-wide data management processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and More ❯

In conjunction with data colleagues, support the development of agency-wide data management processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and More ❯

areas to deliver solutions. What we’re looking for 4+ years’ experience in Azure data engineering. Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Why join? Join More ❯

areas to deliver solutions. What we’re looking for 4+ years’ experience in Azure data engineering. Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Why join? Join More ❯