1 to 25 of 4,093 SQL Jobs in England

practices Evaluate and recommend new technologies and tools to improve ETL pipelines Required Skills & Experience 7+ years of experience in data engineering or related field Expert-level proficiency in SQL, with deep knowledge of either Oracle or SQL Server Good proficiency in any OOP language (Python, Java, C#) Experience developing reliable and efficient data pipeline solutions Experience with on-prem More ❯

highly skilled and versatile Full Stack Developer or similar - both front-end and back-end development, with hands-on experience across a wide range of technologies including C#, PHP, SQL Server, MySQL, mobile development (iOS/Android), and Windows Forms. Understanding of object orientated programming techniques Familiar with applying concepts of Databases, GUIs, REST APIs, Computer Networks and Protocols for … Azure and AWS. A relevant Computing/Software qualification is desirable Strong knowledge/experience of the Microsoft .Net stack including, C# .Net Framework & Core Working knowledge of T-SQL, LINQ and Entity Framework, Javascript, HTML and CSS, IIS, PHP Hands-on experience in mobile development for iOS and Android (native or hybrid frameworks) Experience with Microsoft Azure and AWS … cloud platforms In-depth knowledge of relational databases (especially MS SQL) Also desirable use of Git/Azure Dev Ops, Visual Studio 2019/2022, JQuery, MS Power BI reporting, Linux/Apache web stack, bootstrap front end and sector experience in education Personal qualities: Passion for user experience, design and accessibility - commitment to diversity, inclusion and enabling people to More ❯

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

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 ❯

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 ❯

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 ❯

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 ❯

engineering best practice within the digital team. About you Skills and experience • Strong experience in data engineering with the Azure data stack (Fabric, Data Factory, Synapse). • Proficiency in SQL and Python for data transformation, ETL/ELT and automation. • Solid understanding of CI/CD, Git, and DevOps practices for data workflows. • Experience designing and implementing layered data models. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

Strong experience in Data Engineering and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of 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 ❯

of applying data governance principles, DQM, compliance standards and security protocols to global data environments. Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI). Experience with DevOps principles such as CI/CD, unit testing. Project Ownership skills with the ability to operate in Agile Product framework. Conversant with Data Regulations … or similar Preferred: Masters degree in above fields Preferred: Accreditations/certifications (e.g. DAMA) in data management and/or data governance practices is desirable Preferred: Professional certifications in SQL, Python, CAP, Microsoft certification Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we More ❯

Experience And Qualifications Product Specific Qualifications: Openlink Endur Product experience in implementation per role profile, Connex Integrations JMS and WebServices, Advanced Report Builder, Advanced Data Model, Advanced OpenJVS and SQL, User Defined Sim Results, Advanced TPM workflows, Advanced knowledge of concepts such as: Regulatory Reporting, Inventory Management, External Pricing Models, Grid Enabling. OpenComponents .Net is a plus. Business knowledge of … years working in consulting capacity Strong experience with Openlink: C# .NET, Java, C++, Soap Webservices Experience with business reporting tools such as Crystal Reports and Openlink's DMS Strong SQL scripting skills in Oracle or MSSQL High proficiency with RDBMS such Oracle or MS SQL Server is required High proficiency with Interface implementation following industry standard integration patterns Expert ability More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯