151 to 175 of 4,558 SQL Jobs in the UK

a key role in developing and optimising ETL pipelines, automating data workflows, and supporting integration between core business systems such as Microsoft Dynamics. Strong hands-on experience with Azure, SQL, and Python-based data engineering is essential. This is an excellent opportunity for someone who thrives in a scalable, acquisition-driven environment, enjoys solving complex data challenges, and wants to … CRM systems such as Microsoft Dynamics. Strong technical skills in Python, including libraries such as Pandas and NumPy. Hands-on experience with ETL design, data warehousing, and relational databases (SQL). Advanced proficiency in SQL and data modelling techniques. Knowledge of cloud data platforms (Azure preferred, AWS or GCP also considered). Experience working with APIs and tools like Postman More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

contribute to internal knowledge sharing Participate in client workshops and solution design sessions Required Skills & Experience: Proven experience with Microsoft Fabric (Data Factory, Lakehouse, Power BI) Strong proficiency in SQL, DAX, and Power Query (M) Experience with Azure Data Services (Synapse, Data Lake, Azure SQL) Solid understanding of data modelling, ETL processes, and BI architecture Familiarity with CI/CD More ❯

contribute to internal knowledge sharing Participate in client workshops and solution design sessions Required Skills & Experience: Proven experience with Microsoft Fabric (Data Factory, Lakehouse, Power BI) Strong proficiency in SQL, DAX, and Power Query (M) Experience with Azure Data Services (Synapse, Data Lake, Azure SQL) Solid understanding of data modelling, ETL processes, and BI architecture Familiarity with CI/CD More ❯

We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The ideal More ❯

capability, including DAX, Power Query, data modelling, and advanced visualisation Experience implementing Kimball modelling Strong data storytelling and design skills Proven experience in data manipulation, mining, and validation Confident SQL skills Experience with Azure or AWS Understanding of data warehousing, ideally Snowflake or Data Factory PL-300 certification or close to completion Analytical Skills Professional experience in an analytics role More ❯

Canvas and Model-driven), Power Automate, and Dataverse. Experience with Microsoft Fabric. Strong understanding of business intelligence concepts, KPI development, statistical analysis, and data visualisation best practices. Proficiency in SQL, Python or R for advanced analytics, and experience with version control systems (Git) and CI/CD pipelines are highly desirable. Strong stakeholder management and communication skills, with demonstrated ability More ❯

Science, or equivalent work experience. Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI-assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau More ❯

Science, or equivalent work experience. Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI-assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau More ❯

webhooks, and automate data workflows Support BI tools and analytics teams with reliable, well-modelled data Maintain documentation, contribute to architectural decisions, and drive best practices Essential Requirements: Strong SQL skills and experience with modern cloud data warehouses (Snowflake preferred) ELT pipeline development and modern data stack understanding Solid software engineering practices (Git, testing, CI/CD) Own pipeline health More ❯

Sales Intelligence Director. In this position you'll be spearheading data analysis initiatives and fostering strong stakeholder relationships. Your role will center on leveraging your expertise in relational databases, SQL, and an array of business intelligence tools such as Salesforce, Tableau, Domo, and Power BI to drive impactful insights and strategic decision-making across the EMEA region.This is your opportunity … analysis and stakeholder management Prior experience in the sales or marketing analytics domain Working knowledge of Saleforce Strong knowledge of PowerBI, Tableau or similar BI tools Strong proficiency in SQL and Python or another OOPS language for data extraction, transformation, and analysis Strong interpersonal, written, and verbal communication and presentation skills with the ability to effectively communicate complex concepts and More ❯

model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Collaborate with analysts, engineers, and business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation … models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile More ❯

model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Collaborate with analysts, engineers, and business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation … models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile More ❯

documentation and analytical skills with the ability to translate business needs into technical stories. Excellent communication and interpersonal skills to bridge business and technical teams. Desirable Experience Understanding of SQL, data models, or API integrations. Experience supporting testing or UAT. Awareness of Power BI and basic reporting structures. Familiarity with Azure DevOps pipelines or CI/CD principles. Microsoft certifications More ❯

documentation and analytical skills with the ability to translate business needs into technical stories. Excellent communication and interpersonal skills to bridge business and technical teams. Desirable Experience Understanding of SQL, data models, or API integrations. Experience supporting testing or UAT. Awareness of Power BI and basic reporting structures. Familiarity with Azure DevOps pipelines or CI/CD principles. Microsoft certifications More ❯

work autonomously and tackle complex challenges. Technical Skills: Advanced Power BI expertise: DAX, Power Query, modelling, and storytelling through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring More ❯

technical specifications, reverse engineer existing systems to ensure alignment with best practices, and maintain comprehensive documentation. The ideal candidate possesses proven experience as a BI Engineer, strong proficiency in SQL, data warehousing concepts, and problem-solving skills, with any specific experience within the retail and general supply chain logistics sector being highly advantageous. Bonus skills include experience with Python, Azure More ❯

core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written More ❯

core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written More ❯

core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written More ❯

with at least some of the following: API Management, API Gateway, Cognitive Services, Cosmos DB, Azure Service Bus and Azure Kubernetes Service. Containerisation Technology (Docker, Kubernetes, Nginx). Strong SQL Server skillset, including T-SQL. Experience of building solutions incorporating NoSQL Databases such as Redis, MongoDB, AWS DynamoDB, or Azure Cosmos DB. Experience of TDD and Unit Testing Frameworks, such More ❯

Insurance, The City of London My client an insurance organisation, based in The City of London has a requirement for a permanent Data Engineer. Key skills: Programming Languages -Python, SQL Microsoft SQL Server technologies, specifically Azure SQL Database and SQLite ETL technologies like SSIS, Azure Data Factory Cloud based technologies - SaaS and PaaS PowerBI Good to advanced Excel skills Strong More ❯