1 to 25 of 3,848 SQL Jobs in the UK

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including 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 and developing More ❯

data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks … the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management More ❯

sources (APIs etc.) Experience of collecting and validating intelligence, assessing the credibility of information and reliability of sources Extensive experience using the Microsoft business intelligence stack e.g. Power Platform, SQL Server, SSAS, SSRS etc. Detailed understanding of underlying database technologies (SQL Server) including SQL syntax and queries Evidence of working as a member of a team to ensure shared goals More ❯

groups. Skills/Competencies Required: Microsoft/AWS architecture (recent experience); Agile methodology/delivery; Experience with interacting with business and technology leaders; Experience designing physical data models (relational SQL desirable); Experience rolling out mid-large platforms from inception to production; SQL, Java, Oracle, Kubernetes exposure; Hardware and software virtualisation techniques; Excellent written and verbal communication skills; Prior experience in More ❯

similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to More ❯

experience of working with large data sets in an enterprise environment. Microsoft Data Components: You'll have strong experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Data Quality and Security: You'll have experience of using tools and techniques for ensuring data quality, security, validation and recovery. Analytical Skills: You possess strong … DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation and recovery. Strong analytical skills, with the ability to adopt a logical approach to solving problems. Data More ❯

A skilled SQL Migrations Developer is required to join a small but growing team. Initially, the successful candidate will be working on a large project to migrate a global client base numbering in the hundreds from multiple legacy applications into a single global Azure SaaS product. The developer will be expected to use their technical experience in designing a migration … innovation and continuous improvement to the team. Educational Requirements: Minimum 2.1 degrees in IT or an equivalent technical subject. Experience Required: Required - Minimum 5 years experience working in a SQL Developer role or similar title Required - Minimum 5 years working on ETL Data Migrations Required - Minimum 3 years working in Azure SQL environments in a SQL Development capacity Highly Desirable … Experience of Insolvency or Financial Services sectors. Technical Competencies Required: Advanced T-SQL MS SQL Server ETL and Migration Development SSIS Azure Data Factory Databricks Microsoft Fabric Advanced Microsoft Excel Highly Desirable: Azure Devops GIT Source control Jira Confluence mySQL Desirable: SSRS & Power BI SSAS SQL Utilities such as Redgate Other development experience includes C#, VB .NET, PHP, web applications More ❯

Troubleshoot and resolve issues in ETL jobs, ensuring data accuracy and integrity. Automate and schedule Pentaho jobs using Carte, Kitchen, or Pan scripts. Optimize performance of ETL jobs and SQL queries. Participate in data modelling and data warehouse design discussions. Support deployment of Pentaho solutions in production environments. Create and maintain documentation for ETL processes and data flows. Required Skills … and Experience Hands-on experience with Pentaho Data Integration (PDI/Kettle) . Strong proficiency in SQL (MySQL, PostgreSQL, Oracle, SQL Server, etc.). Experience with data warehousing concepts (star schema, dimension modelling). Familiarity with ETL performance tuning and error handling techniques. Experience working with Linux/Unix environments and Shell Scripting. Understanding of REST/SOAP APIs , JSON More ❯

Responsibilities Lead and support the development and optimisation of fraud detection and prevention strategies across all Financial Crime systems. Interrogate and analyse large and complex data sets using advanced SQL and data management tools to uncover patterns, trends, and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models … vendors, and industry peers to explore new detection techniques and system capabilities. Skills Strong background in Financial Crime or Fraud Analytics within a banking or financial services environment. Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. … skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal qualifications but with equivalent experience will also be More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

organise and produce work within deadlines. Skills - Good project and people management skills. - Excellent data development skills. - Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. - Ability to prioritise and be flexible to change those priorities at short notice. - Commercial acumen. - Able to demonstrate a practical approach to problem … design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. - Experience is building Data lake and building CI/CD data pipelines - A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both More ❯

years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

identify opportunities for improving data quality, reliability, automation, and reusability Experience & Skills Required We're looking for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders More ❯

identify opportunities for improving data quality, reliability, automation, and reusability Experience & Skills Required We're looking for someone who can demonstrate: Proven Proficiency in Azure Data Factory and Azure SQL (essential) Proven expertise with Power BI and a strong eye for intuitive, user-friendly data visualisation Solid understanding of data warehouse design including planning and development Experience managing senior stakeholders More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯