101 to 125 of 21,938 SQL Jobs in the UK excluding London

but also driven, collaborative, and solutions-focused. Experience & Knowledge: Proven experience building solutions with Power BI, Power Apps, and Power Automate Strong data modelling, SQL, and data warehousing knowledge Familiarity with Microsoft 365 and Azure environments Microsoft Power Platform certifications (or working towards them) Understanding of JavaScript, HTML, CSS (for More ❯

REST, and SOAP) Experience developing software for an enterprise environment The ability to create and support Azure solutions using services/resources such as SQL, API management, Key Vault, Functions, App Service, Data Factory, Storage Account, Cost Management, etc. Experience working with data preparation and data quality Ability to clearly More ❯

System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including More ❯

least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data More ❯

Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data More ❯

Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data More ❯

professional experience in data analysis, business intelligence, or a related field Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot) Proficiency in SQL, Phyton and data querying techniques Experience in data modelling and data warehouse concepts API - data integration methods Excellent analytical and problem-solving skills Strong communication More ❯

professional experience in data analysis, business intelligence, or a related field Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot) Proficiency in SQL, Phyton and data querying techniques Experience in data modelling and data warehouse concepts API - data integration methods Excellent analytical and problem-solving skills Strong communication More ❯

professional experience in data analysis, business intelligence, or a related field Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot) Proficiency in SQL, Phyton and data querying techniques Experience in data modelling and data warehouse concepts API - data integration methods Excellent analytical and problem-solving skills Strong communication More ❯

professional experience in data analysis, business intelligence, or a related field Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot) Proficiency in SQL, Phyton and data querying techniques Experience in data modelling and data warehouse concepts API - data integration methods Excellent analytical and problem-solving skills Strong communication More ❯

OpenTWINS, DXC Assure, Sequel, IRIS). Knowledge of BI/MI tooling (e.g., Power BI, Tableau, Qlik). Familiarity with data warehouse technologies (e.g., SQL, Snowflake, Azure, Informatica, etc.). Exposure to Agile delivery and use of tools such as Jira or Azure DevOps. More ❯

Information Systems, or a related field, or equivalent experience (essential). Proficiency in Power BI, including DAX and Power Query (essential). Experience with SQL and relational databases (essential). Strong analytical and problem-solving skills (essential). Knowledge of data warehousing concepts and ETL processes (desirable). Experience with More ❯

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options More ❯

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

data. Hands-on skills with a programming language such as Python, Java, Go, etc. Public cloud experience (Azure, AWS or GCP). Writing complex SQL queries. ETL tools (Fivetran, Azure Data Factory) or writing custom data extraction applications, Data Modeling, Data Warehousing and working with large-scale datasets. Experience leveraging More ❯

the underlaying detail. Essential Criteria Good knowledge of Oracle Fusion data models and underlying data schemas (with a focus on HCM) Experience of writing SQL code to support data reconciliation. Strong analytical and troubleshooting skills with a proactive problem-solving attitude. Highly collaborative with strong stakeholder management skills, and the More ❯

with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data More ❯

engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data technologies such as Hadoop, Spark, or Hive Familiarity with data More ❯

Familiarity with CI/CD implementations and IaC tools (e.g., Terraform, Bicep, ARM). Proficient in multiple programming languages (e.g., .Net (C#), PowerShell, T-SQL). Desirable: Python, Java/JavaScript, Microsoft Power Platform (Apps, Automate, BI). Desirable: Awareness of Microsoft frameworks like the Cloud Adoption Framework. Strong analytical More ❯

Requirements Proven experience as a Data Engineer with Microsoft Fabric or related Azure data services. Knowledge of PySpark in notebooks for data analysis. Strong SQL and data modelling skills. Experience with modern ELT/ETL tools within Microsoft ecosystem. Understanding of data lake and lakehouse architectures. Hands-on experience with More ❯

data collection, and interacting with APIs Supporting departments with critical dashboards and reports Qualifications for Success: Expertise in Power BI and Microsoft Fabric Strong SQL and TSQL skills Experience in an agile environment using Azure DevOps Knowledge of data governance tools like Purview Data modeling experience with DAX Hands-on More ❯

MFA, Conditional Access policies, and managing servers/virtual environments in Azure. BI & Data Skills: Experience with BI platforms (e.g., SAP BusinessObjects, Power BI), SQL, ETL, data modelling, and diverse data sources including SAP HANA. Tableau Tools: Knowledge of Tableau Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps: Familiarity More ❯

Microsoft Entra ID, MFA, Conditional Access, and managing servers in Microsoft Azure. BI & Data Skills: Experience with BI platforms like SAP BusinessObjects, Power BI, SQL, ETL, and data modeling from various sources including SAP HANA. Tableau Tools: Familiarity with Tableau Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps: Understanding More ❯