1 to 25 of 3,661 SQL Jobs in England

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows.The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring … cloud-based data platforms.Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation.Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis.Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default ...

data structures and data models within investment platforms such as Aladdin, CRIMS, Charles River, Eagle, or other Front Office and Investment Management platforms.Strong SQL skills with the ability to write complex queries, joins, aggregations, reconciliation queries, and validation scripts.Experience working with structured and semi-structured data formats including SQL tables ...

documentation.Assess technical feasibility, dependencies, risks and implementation options.Act as a trusted advisor to both business and technical partners.Data & Database AnalysisPerform sophisticated data analysis using SQL and other analytical tools.Investigate data quality issues and identify root causes of business problems.Validate data migrations, transformations and integrations.Create queries, reports and analytical outputs … working within Agile delivery frameworks.Strong workshop facilitation and communication capabilities.Ability to influence business partners at all levels of an organisation.Technical CapabilityHands-on experience with SQL and relational databases.Practical coding or scripting experience (e.g., Python, JavaScript, C# or similar).Experience analysing APIs, integrations and system interfaces.Understanding of software development lifecycle ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

projectsDesign and build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.Working collaboratively with … part of data engineering teams and independently.Line/Team management experience, leadership experienceExperience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)You have framework experience within either Flask, Tornado or Django, DockerExperience working with ETL pipelines ...

operate batch and incremental data pipelines leveraging Azure Data Factory for orchestration and Azure Data Lake Storage Gen2 as the primary data store.Independently implement SQL- and Spark‐based transformations to produce curated datasets that support enterprise reporting, analytics, and downstream consumption.Take ownership of assigned data pipelines and datasets, including monitoring … data ingestion.Implement Spark‐based transformations that write curated datasets to Azure Data Lake Storage Gen2 using established folder structures and naming conventions.Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases.Respond to pipeline failures, data validation issues, and operational alerts.Perform basic performance tuning ...

Looker — connecting data sources, modelling the semantic layer, and building dashboards independently.Experience with other BI and visualisation platforms (e.g., Tableau, Power BI).Proficiency in SQL and experience working with large datasets.Demonstrated experience building self-serve BI that empowers non-technical users, rather than only servicing one-off report requests.Strong business ...

platform delivery · Prepare and structure data so that it can be used effectively by AI-enabled analytics and data platform capabilities. · Work with SQL, Python, PySpark, notebooks or platform-native tooling to transform, test and expose data for downstream AI and analytics use cases. · Collaborate with data engineers and architects … modern data platform, such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS or GCP, with willingness to develop capability across multiple platform ecosystems. · Strong SQL skills and practical experience working with structured and semi-structured data. · Good understanding of data engineering or analytics engineering concepts, including data modelling, pipelines, ELT/ ...

external APIs, ensuring seamless ingestion into the Lakehouse.You’ll work closely with BI teams to enable high-performance Power BI dashboards through Databricks SQL Warehouses, making data more accessible and actionable across the business. You’ll ensure that all data is governed, discoverable, and secure under Unity Catalog … strong AWS background is important, particularly with services such as S3, Glue, Lambda, Batch, and IAM.You’ll need to be proficient in Python and SQL for data engineering and analytics, and comfortable implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins. Solid experience with ...

Senior Data Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence solutions. They … Computer Science or a related field, and other professional management training Extensive (5+ years) experience in at least 3 of the following: Azure SQL Server 2022, Azure Data Factory (ADF), Microsoft Fabric, ETL/ELT workflows and Synapse. Architectural experience in Azure Data Warehousing, with bonus points for NoSQL (Cosmos ...

intuitive self-service reporting solutions for business users Developing and maintaining Azure-based data pipelines and ETL processes Designing scalable Azure data architecture Optimising SQL queries and database performance Improving data quality, governance and documentation Translating business questions into analytical solutions that influence strategic decision making Identifying commercial opportunities through … Fabric and AI to support the future BI strategy Driving continuous improvement by automating manual reporting processes SKILLS Advanced Power BI development experience Strong SQL and database optimisation skills Experience designing robust data models Excellent knowledge of DAX and Power Query (M) Experience developing ETL processes Strong understanding of Azure ...

maintain scalable ETL/ELT data pipelines Develop and optimise cloud-based data solutions Build and maintain Azure Data Factory pipelines Work with Azure SQL, Synapse Analytics and Microsoft Fabric Improve data quality, governance and documentation processes Optimise SQL queries and database performance Develop data models to support analytics … environments into Azure Contribute to best practices around data engineering, automation and deployment Required Skills & Experience: Strong commercial experience as a Data Engineer Advanced SQL development skills Commercial Python experience Hands-on experience with Azure Data Factory (ADF) Experience working with Microsoft Azure data services Strong understanding of ETL/ ...

build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

hybrid data professional. Proven expertise across the Microsoft Azure Data Platform , including: Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Azure SQL Power BI Strong SQL and data modelling skills. Experience building and maintaining cloud-based data solutions. Excellent stakeholder management and communication skills. Desirable Experience within Government ...

deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions ...

automation and continuous improvement initiatives. Your Profile Essential skills/knowledge/experience Strong Azure Data Platform experience. Hands-on Azure Databricks expertise. Advanced SQL and Python development skills. Strong experience with ETL/ELT and data pipeline development. Experience supporting production data platforms and operational services. Data modelling ...

data engineering, analytics engineering or data platform roles, typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions. Strong experience with cloud data warehouses, ideally BigQuery, and a good working ...

Join Our Team as a Software Developer (Python/SQL - Data & Database Focus)! Are you a passionate Software Developer with expertise in Python and SQL? Do you thrive in a dynamic environment focused on data engineering and modern data platforms? If so, we want to hear from you! Role Overview … large-scale data systems that drive our analytics and business-critical applications. What You'll Do: Develop & Maintain: Create backend applications using Python and SQL, ensuring they are efficient and robust.Database Solutions: Build and optimise database solutions, focusing on schema design, indexing strategies, and query performance tuning.ETL/ELT Pipelines ...