1 to 25 of 2,324 SQL Jobs in England

SQL Developer Liverpool - £40k - hybrid SQL Developer SQL, SSRS, SSIS, C#, .Net, Liverpool This is an exciting opportunity for a SQL Developer is pivotal to provide support to help increasing demands for MI and IT analysis. The ideal SQL Developer will have proven experience with advanced SQL skills, as you will be working with large and complex databases. The successful … developer will have previously worked within small teams and will have a good understanding of existing and emerging web technologies. Core skills for this SQL Developer role includes: Proven experience of SQL Server programming and reporting Experience with .Net, C# and HTML is required Experience of Object Orientated development Ideally experience with SSRS/SSIS/SSAS This is an More ❯

the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data … required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. More ❯

SQL Database Administrator – Based Onsite in Meriden (5 days per week) Pertemps, the UK’s largest independent recruitment agency, is seeking an experienced SQL Database Administrator to join our internal IT team. This is a full-time, permanent, onsite role based in Meriden, CV7 (please note this is not a hybrid or remote position). We are looking for a … highly skilled professional with at least 5 years’ experience in SQL Server administration and related technologies. You will play a key role in managing and optimising our databases, supporting business-as-usual teams, and delivering internal projects. Our team has recently developed an Azure SQL Data Warehouse , so knowledge of Azure Data Factory (ADF) and hands-on experience with ETL … out tuning and re-architecture where required to maximise performance and cost efficiency. Salary: Up to £55,000 per annum (depending on experience) Key Responsibilities Administer, maintain, and troubleshoot SQL Server databases across the organisation. Implement and manage Database Security Patch Management and Database Access Management . Support and optimise Azure SQL databases and managed instances (PaaS) . Oversee database More ❯

in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation Competent in integrating relational, NoSQL, and More ❯

in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as pipeline performance tuning & optimisation Competent in integrating relational, NoSQL, and More ❯

Collaborate with stakeholders across the business to deliver value-driven solutions What were looking for: London/Lloyd's Market experience is essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP More ❯

systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. More ❯

systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. More ❯

systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. More ❯

quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge:Proficient in SQL and data modelling. SOLID Principles:Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: Python, Angular Containerisation More ❯

storage structures with partitioning as well as lifecycle policies Define and apply advanced RBAC as well as ACL-based security models while enabling integration with Synapse, Databricks, and serverless SQL pools for analytics Deliver end-to-end reporting solutions, including data modelling in Power Query and DAX using Power BI to build interactive dashboards and implement row-level security (RLS More ❯

machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯

developers and contribute to a culture of data excellence Continuously seek opportunities to improve data reliability, automation, and reusability Experience & Skills Required: Proficiency in Azure Data Factory and Azure SQL is essential Proven experience with Power BI and a keen eye for effective, user-friendly data visualisation Strong background in data warehouse design (preferably Kimball methodology; fact/dimension tables More ❯

quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency in SQL Management Studio. Microsoft Fabric expertise, especially focused on Power BI development but also including Data Factory, Dataflow Gen2 and data pipeline creation. Demonstrated ability to design and implement data models More ❯

manage Power BI environments (workspaces, permissions, deployment pipelines). Solid understanding of data modelling principles and experience with tabular models (Power BI/Azure Analysis Services). Proficiency in SQL for querying and transforming data, including creating reports in Power BI Reporting Services. Excellent communication skills, able to work with both technical and non-technical stakeholders. In addition knowledge of More ❯

manage Power BI environments (workspaces, permissions, deployment pipelines). Solid understanding of data modelling principles and experience with tabular models (Power BI/Azure Analysis Services). Proficiency in SQL for querying and transforming data, including creating reports in Power BI Reporting Services. Excellent communication skills, able to work with both technical and non-technical stakeholders. In addition knowledge of More ❯

through internal training programmes or approved external course. What experience do I need? Bachelor's degree in Business Analytics, Data Science, Statistics, or a related field. Database development skills (SQL, NoSQL, Progress, MariaDB, MongoDB). Knowledge of relational database concepts. Excellent communication skills, at all levels and experience with technical and non-technical audiences. Experience in understanding, gathering, and analysing More ❯

Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

driven Power Apps Expertise in creating and optimizing automated business processes with Power Automate (including RPA and cloud flows) Skills in data modelling and integration using Data verse, SharePoint, SQL, and Azure services Knowledge of custom connectors, APIs, and integrating Power Platform with external systems Proficiency in DAX, Power Query, and delivering advanced business intelligence dashboards in Power BI Experience More ❯

with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯

approach to modern data engineering. You should have: Proven experience with Azure Databricks and Apache Spark Working knowledge of Apache Kafka and real-time data streaming Strong proficiency in SQL and Python Familiarity with Azure Data Services and CI/CD pipelines in a DevOps environment Solid understanding of data modelling techniques (e.g., Star Schema) Excellent problem-solving skills and More ❯

ETL process is mandatory Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries) Hands-on experience with SQL, Python, Spark, Kafka Excellent communication skills, including a good working proficiency in verbal and written English About this Job Scopeworker Business Intelligence real time processes enterprise customer data. We develop More ❯

analysis, financial planning, data modeling, or related areas. Hands-on experience with Anaplan (Anaplan Level 1/2 Model Builder certification preferred). Strong Excel and financial modeling skills; SQL or data integration experience a plus. Analytical mindset with attention to detail and strong problem-solving skills. Ability to work cross-functionally with both business and technical stakeholders. Strong communication More ❯

problem-solving, debugging, and testing skills. Ability to work collaboratively in a dynamic, cross-functional environment. Experience with project management or Agile methodologies. Desirable: Programming skills in Python, JavaScript, SQL, Java, C#, or Ruby. Experience with Microsoft Cloud, AWS, cloud infrastructure, or Microservices architecture. Familiarity with Power Apps, Power BI, Microsoft Graph API, Azure Logic Apps/Functions, and Dataverse. More ❯

problem-solving, debugging, and testing skills. Ability to work collaboratively in a dynamic, cross-functional environment. Experience with project management or Agile methodologies. Desirable: Programming skills in Python, JavaScript, SQL, Java, C#, or Ruby. Experience with Microsoft Cloud, AWS, cloud infrastructure, or Microservices architecture. Familiarity with Power Apps, Power BI, Microsoft Graph API, Azure Logic Apps/Functions, and Dataverse. More ❯