1 to 25 of 6,653 SQL Jobs in the UK excluding London

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

to join a growing team to deliver a large data modernisation programme. As a Data Services Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … of the wealth management industry, including products & services and the associated data, is a plus. Key Responsibilities • Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. • Develop data models and database schemas that support reporting and analytics needs. • Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java … develop, and deploy SSIS packages and ADF pipelines. • Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and error handling is robust. • Creation and maintenance of complex SQL stored procedures. • Integrate data from various sources, including flat files, REST/SOAP APIs, and third-party databases, into the data warehouse/platform. • Develop and maintain complex stored procedures More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

permanent role will lead a squad focused on delivering robust data solutions across our five businesses. You will leverage your deep expertise in traditional data engineering (database design, T-SQL) and Microsoft Azure's data services (Data Factory, Power BI, and pipelines) to address complex business challenges. We are looking for a candidate who can effectively translate business requirements into … stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data Factory Proven experience in designing and implementing data models and database schemas for complex More ❯

as a Data Engineer or in a similar role. Experience with data pipeline, ETL and workflow management tools (e.g., Databricks, Data Factory). Proficiency in programming languages such as SQL, Python, R, or Scala. Substantial knowledge and experience with Python libraries such as PySpark and Pandas. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, SQL Server). Excellent More ❯

to drive business insights. Experience in Oracle Cloud ERP, HCM, or SCM data structures, with the ability to integrate multiple Oracle Cloud modules. Hands-on experience with PL/SQL, data transformations, and BI Publisher, as well as Oracle’s built-in analytics tools. Strong understanding of business intelligence principles, including trend analysis, forecasting, and predictive analytics. Ability to independently More ❯

about technology including our chosen technology stack (Microsoft development stack, Azure Cloud computing, Data Engineering technologies) – having already worked with Azure tools or having an established background in MS SQL database technologies. Experience of, or an interest in learning about, AI and the development of custom copilot applications Self-motivated, with a drive to learn and share knowledge and focused More ❯

performance, scalability, and reliability. Required Skills Python for data engineering (e.g., pandas, NumPy, pyodbc, SQLAlchemy, etc.) Strong experience in Power BI (DAX, Power Query, data modeling, publishing dashboards) Advanced SQL skills (joins, CTEs, indexing, optimization) Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL) Understanding of ETL/ELT principles , data architecture, and data warehouse concepts Familiarity with APIs, RESTful More ❯

equivalent experience. Proven experience (>6 years) as a Data Engineer or similar role. Experience with data pipeline, ETL, and workflow management tools (e.g., Databricks, Data Factory). Proficiency in SQL, Python, R, or Scala. Knowledge of Python libraries such as PySpark and Pandas. Experience with SQL and database management systems like MySQL, PostgreSQL, SQL Server. Strong problem-solving, analytical, and More ❯

Engineer: Provide clean, tested, transformed and modelled data in a way that empowers end users. Deliver impactful data products and dashboards with limited senior support, using tools such as SQL, Power BI, MS Fabric, Tableau. Enhance and maintain existing data products and data pipelines using the appropriate technologies. Apply software engineering best practices like version control and CI/CD … and ensure we stay true to our Customers, Owners and Colleagues alike. Essential Experience: Bachelor's degree in a numerate discipline or an equivalent analytical apprenticeship Strong proficiency in SQL Good understanding of ETL/ELT processes Exposure to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS … Experience using JIRA and Bitbucket or GitHub Other Useful Experience: Experience with Apache Kafka (or any other data streaming technologies) Experience with AWS products (S3, Athena, etc) Experience with SQL Server data warehousing (SQL Server, SSIS and SSAS). Forge Holiday Groups Company Benefits Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through More ❯

data requirements and carry out data analysis to ensure alignment with audit objectives. • Perform data validation, integrity checks, and governance to ensure consistency and compliance with regulatory requirements. • Utilize SQL, data modeling tools (e.g., Erwin, Visio), and scripting languages to define and implement database solutions. • Develop and maintain data dictionaries, metadata management, and schema documentation. • Document data structures, business logic … 5+ years of experience (hands on) in one or more of these disciplines - data engineering/data modeling & data architecture/database design/data science & analytics • Expertise in SQL & Database design constructs, entity relationship modeling, dimensional modeling. • Experience in Relational and NoSQL databases (e.g., Oracle, Sybase, SQL Server, PostgreSQL, MongoDB) • Experienced in big data technologies like Hadoop & Snowflake • Prior … experience of working with ETL tools or as a SQL developer. • Hands-on experience working with reporting and analytics tools such as Tableau and Python • Familiarity with cloud platforms (AWS, Azure, or GCP) • Knowledge of internal audit processes, risk management, and compliance frameworks is highly desirable. • Strong problem-solving, analytical, and critical-thinking skills. • Excellent communication and collaboration skills to More ❯

and data engineering, including creating data models, dashboards, and reporting solutions. Additionally, you will contribute to the establishment of the gold medallion data layer for advanced analytics. Collaborating with SQL developers and system experts, you will ensure data is consumed efficiently and support end users by designing, developing, and deploying reports across the organisation. Reporting to the Head of Data … visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. Expertise in writing efficient and robust SQL code to support dimensional data models. Experience gathering reporting requirements and translating them into dashboards and reports. Ability to communicate complex data concepts to non-technical stakeholders. Strong attention to More ❯

implementing advanced features. Data Modelling: Strong knowledge of star/snowflake schemas, dimension/fact design, and row-level security for enterprise-scale tabular models. Programming & Scripting: Proficiency in SQL; familiarity with Python or other scripting languages is a plus. Cloud Platforms: Experience with Azure services (e.g., Azure Data Factory, Azure Synapse) or other cloud-based data platforms is beneficial. More ❯

Development: Create and integrate RESTful and SOAP APIs for internal and external consumption, ensuring smooth data interchange among multiple systems and third-party providers. Database Management: Design and optimize SQL and NoSQL database structures, ensuring data integrity, security, and high performance. DevOps Integration: Collaborate with DevOps teams to automate deployment pipelines and implement continuous integration/continuous deployment (CI/… Hands-on experience with modern frontend frameworks (e.g., Angular, React, or Vue.js) and proficiency in HTML, CSS, and JavaScript. Solid understanding of RESTful API design and implementation. Experience with SQL Server, and familiarity with NoSQL databases. Software Development Lifecycle: Knowledge of Agile methodologies and commitment to collaborative problem solving, efficient coding practices, and timely delivery. Problem Solving: Excellent analytical and More ❯

candidate will have: Data Analysis & Insight: Strong analytical skills with the ability to identify trends, anomalies, and actionable insights from complex data sets. Technical Expertise: Proficient in BI reporting, SQL, data modelling, and data warehouse concepts, with a focus on accuracy and scalability. Problem Solving: Demonstrates initiative in resolving data issues and implementing data-led solutions to support continuous improvement. … Analyst Associate, SAP BusinessObjects, or comparable BI certification in data analysis, reporting, or data warehousing. Sofico Miles, Salesforce, or Dataflow Clarity experience (or equivalent systems knowledge). Proficiency with SQL and ETL tools such as SSIS, with experience in data warehouse architecture, modelling, and optimisation. Familiarity with BI platforms including Business Objects, Pan Intelligence, or similar reporting/visualisation tools More ❯

Analyst skillsets and approaches. Deploying web applications on cloud platforms such as Azure, AWS, or GCP. Experience with Redhat Openshift Container Platform. Experience with React.js. Proficiency in working with SQL and NoSQL databases. Data science techniques, including discrete event simulation. Advanced MS Excel skills, including VBA. Understanding of the UK MoD and Armed Forces. It is a requirement that the More ❯

Liquid Template Experience leading teams and mentoring junior team members Experience using REST APIs (building of REST APIs nice to have) Experience in implementing and using other data stores (SQL/SharePoint/Lists) Experience working with testing strategies and tools for Power Platform solutions Experience working with ALM strategies for the Power Platform Experience with Agile methodologies and working More ❯

Belfast, Northern Ireland, United Kingdom Harbor is seeking a Senior Business Intelligence Consultant to join our Business Intelligence and Microsoft Application services team in our Legal Technology + Operations practice. Our team is at the forefront of delivering quality service More ❯

developing, and optimising our data pipelines and reporting solutions to drive data-driven decision-making across the organisation. KEY RESPONSIBILITIES This role demands a deep understanding of data modelling, SQL, and performance tuning in BigQuery and PostgreSQL, along with a proven ability to create insightful and visually appealing reports and dashboards in Looker Studio. BigQuery Development & Optimization: Design and implement … efficient data models in BigQuery to support business reporting needs. Write and optimise complex SQL queries for data extraction, transformation, and loading (ETL) processes. Improve query performance and reduce costs by optimising storage and processing in BigQuery. Implement best practices for data partitioning, clustering, and materialised views. PostgreSQL Management & Optimization: Design, develop, and maintain databases in PostgreSQL. Optimise SQL queries … Analyst, or similar role Tech Stack: Database Technologies: BigQuery, AlloyDB, CloudSQL, PostgreSQL DataVisualisation: LookerStudio, Kabana Programming Languages: Go, Python Technologies: GCP, Gitlab, Jira, Confluence Skills: Essential : Strong proficiency in SQL with hands-on experience in Google BigQuery and PostgreSQL. Proven experience in optimising both BigQuery and PostgreSQL for performance and cost efficiency. Expertise in creating and managing reports and dashboards 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 ❯

through technology. Responsibilities: Configure and support ERP systems, including customizing workflows and resolving user issues. Collaborate with Business Analysts to identify and automate business processes. Develop backend solutions using SQL, Oracle, and Crystal Reports to support business needs. Create and maintain technical documentation and reusable ERP components. Apply agile and continuous improvement practices to enhance system performance and user experience. … Desirable skills: Strong communication and collaboration skills, especially under pressure. Technical proficiency in SQL, Power Automate, Power Apps, and ERP systems. Analytical thinking and a structured approach to problem-solving. Ability to present technical concepts to non-technical stakeholders. Familiarity with coding languages such as .NET, Python, JavaScript, or C# is a plus. Proactive and hands-on with a “can … and credible in interactions with stakeholders. Team player with a strong sense of ownership and accountability. Demonstrable experience with automation tools (e.g., Power Automate, Power Apps). Experience with SQL (Microsoft and Oracle), data lakes, and data warehouses. Knowledge of additional coding languages is preferred but not essential. Strong written and verbal communication skills. Aptitude for logical thinking and structured More ❯

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

insights. By developing and optimizing ETL/ELT pipelines, we ensure data accuracy, consistency, and performance across the warehouse. Leveraging Azure Data Services such as Synapse, Data Factory, and SQL Server, we provide scalable solutions that enable stakeholders to make data-driven decisions. We create clear, easy-to-read Power BI dashboards, transforming complex data into visually compelling, actionable insights … business stakeholders to define key business metrics and reporting needs. Ensure data quality, consistency, and performance across the warehouse. Work with Azure Data Services (Synapse, Data Factory, Data Lake, SQL DB, etc.) to build scalable solutions. Implement data governance, security, and best practices for the warehouse. Develop and maintain documentation on data models, processes, and business rules. SKILLS AND QUALIFICATIONS … experience with ETL tools (e.g., Azure Data Factory, SSIS, or other data integration tools). Experience handling incremental data loads, data transformations, and data cleansing. Databases & Querying: Proficiency in SQL Server, T-SQL, and performance tuning for data warehouses. Experience working with Azure Synapse Analytics, Azure SQL DB, or similar cloud-based platforms. Microsoft Dynamics 365 (Desirable): Familiarity with Dynamics More ❯