251 to 275 of 4,591 SQL Jobs in the UK excluding London

of ERP data models (especially Oracle Financials) and integration patterns across platforms. Experience in working with large datasets, complex joins, and performance tuning of queries and reports. Proficient in SQL, data modeling, and preferably some exposure to ETL pipelines. Solid project management skills and the ability to handle multiple reporting workstreams simultaneously. Excellent communication and stakeholder management skills. Desirable Knowledge 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 ❯

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 ❯

code A good understanding of Agile delivery and CI/CD practices Experience building data pipelines with Airflow or Azure Data Factory Solid coding skills in Python, Spark, and SQL Great communication and problem-solving skills The ability to mentor, guide, and support other engineers More ❯

modelling using Power Pivot, and scenario analysis tools. Experience in building dashboards, process automation, and preparing structured data for Power BI integration is essential. Power BI and Power Query. SQL for data extraction and manipulation. Python (preferred but not required). Personal Attributes: Strategic thinker with a hands-on approach to problem-solving. Strong interpersonal and communication skills. Motivated by 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 ❯

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 ❯

technical Data ethics and privacy Data management Data preparation and linkage Data visualisation Developing code for analysis You will also have the following specialist skills, at Working level: Advanced SQL proficiency : expertise in writing complex, highly-performant SQL queries, including common table expressions (CTEs), window functions, and complex joins. Experience with query optimization and performance tuning on relational databases like 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 ❯

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 ❯

Demonstrable in-depth knowledge and experience of Microsoft Azure data tools, particularly Microsoft Fabric, with an emphasis on OneLake and Data Factory. • ELT/ETL experience (Data Transformation). • SQL Server database and solution design, structure, maintenance and best practises. The successful candidate will be able to demonstrate an extensive breadth and depth of T-SQL skills. Desirable Skills and More ❯

Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation and optimisation Background in data modelling, data architecture and data governance frameworks Desirable Experience Broader experience in business intelligence and analytics strategy Exposure to manufacturing or industrial More ❯

Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation and optimisation Background in data modelling, data architecture and data governance frameworks Desirable Experience Broader experience in business intelligence and analytics strategy Exposure to manufacturing or industrial 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 ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯