26 to 50 of 7,392 SQL Jobs in the UK

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. ...

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. ...

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. ...

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. ...

Streaming, and Lakehouse architectureStrong hands-on experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilitiesExpertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworksProven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patternsExperience designing large-scale analytical platforms supporting high ...

etc., for ADF, Databricks and ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments … such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. Perform root cause analysis and provide short‐term ...

Group of Companies for a Business Intelligence Developer and Data Engineer. This is a hands-on role for someone with strong Power BI and SQL skills who can build high-quality reporting and data solutions, solve complex problems and work confidently across business intelligence and data engineering. What … doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions Building ...

Group of Companies for a Business Intelligence Developer and Data Engineer. This is a hands-on role for someone with strong Power BI and SQL skills who can build high-quality reporting and data solutions, solve complex problems and work confidently across business intelligence and data engineering. What … doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions Building ...

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 … 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 ...

pipelines, APIs, integration services, controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows 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 Act as a senior … 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 ...

environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure ...

delivery outcomes. Technical Skills Strong experience designing and delivering modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise … building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on‐premises and third‐party business systems. Strong hands‐on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta ...

adoption of AI-enabled analytics such as Copilot and natural-language insight. If you're an experienced BI Developer with strong Power BI, SQL and data modelling skills and want to have a genuine impact on how an organisation uses data, this could be an excellent opportunity. Key Responsibilities Design … Power BI experience, including semantic modelling, DAX and Power Query (M). Experience with paginated reporting using SSRS and/or Power BI. Strong SQL experience, ideally SQL Server, Azure SQL Database and T-SQL. Experience with ETL/ELT and data integration tools, ideally Informatica. Strong understanding of dimensional ...

scalable and cost-efficient data architectures Proficiency in Python, including modularization and production-ready code for data transformations, automation, and workflow orchestration Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database design Experience designing and implementing scalable data pipelines with AWS Glue, Step Functions, and SQL ...

data-driven culture within the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiency in SQL and Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse Architecture … Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ETL and ELT pipelines, mostly ...

solutions. Ensure data accuracy, consistency and governance across reporting layers. Optimise report performance, including query tuning and dataset management. Work with large datasets using SQL and, ideally, Python. Support deployment pipelines and version control practices. Troubleshoot data and reporting issues to ensure timely resolution. Implement data validation, cleansing and reconciliation … experience in Data Analytics or BI development. Strong expertise in Power BI (Desktop & Service) and proficiency in DAX and Power Query (M). Strong SQL skills and experience with relational databases. Solid understanding of data modelling (Kimball/Star Schema). Hands‐on experience with SAP data (ECC, BW extracts ...

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 ...

Located anywhere in the UK! Salary: Depending on experience Job Type: Permanent, Full Time We're proud to be a trusted leader in SQL development services, and in database, server, cloud, and application services. We enjoy helping our clients, many of which are well-known household brands, stay connected … seeking an experienced Senior Power BI Developer to design, develop and support modern business intelligence and analytics solutions using Power BI and other SQL Server technologies. About the role: The successful candidate will combine strong technical expertise with excellent stakeholder engagement skills, helping clients and internal teams transform raw data ...

Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding of data modelling techniques (dimensional, star schema … control Knowledge and experience of the following would be advantageous: Experience with GCP and AWS On-prem data platform and integration solutions, including Microsoft SQL Server, SQL Server Integration Services (SSIS) Experience in working with Power BI, including Power Query, DAX, and Power BI Service Experience with enterprise data governance ...

deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure … innovation, knowledge sharing and best practice within the Data & Business Intelligence team. Requirements Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. Excellent analytical, problem-solving ...

work independently following established patterns. Experience implementing ETL processes ideally in an Azure/MS Fabric environment. Experience and genuine competence in using SQL to query and manipulate data. Proficiency in cloud data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Factory or AWS equivalents. Spark/Pyspark ...

visualisation tools, preferably Microsoft Power BI (or alternatives such as Tableau, Qlik or Looker). Experience with data transformation and modelling tools such as SQL, Python, DAX, Power Query, NoSQL, Azure Data Factory or similar technologies. Proven experience owning or contributing to end‐to‐end analytics solutions, including roadmap definition ...

Develop data models and analytics solutions, working extensively with Power BI Integrate internal and third-party systems through APIs Work with Azure Data Lake, SQL Server and SQL Support the existing Synapse environment during the transition to Fabric Use Azure DevOps, Git and CI/CD to develop and deploy … solutions after implementation - supporting them in production, dealing with operational issues and improving them as requirements, volumes and the platform have evolved. Strong SQL and Data Engineering fundamentals ETL/ELT and data modelling Azure data platforms API integration Source control, CI/CD and deployment Experience building, operating ...

Design 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 … Experience: Experience in operating as part of data engineering teams and independently. 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 ...

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 ...