26 to 50 of 2,097 SQL Jobs in the UK excluding London

in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative approach—this team values people More ❯

in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative approach-this team values people More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯

reviews, sprint planning, code reviews, and knowledge sharing. Requirements: Strong experience in backend systems and technologies, such as .NET 8 or 9, C# or Golang etc Experience in various SQL dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker More ❯

platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground More ❯

Knowledge of ASP.NET Core and design/architectural patterns like MVC. Experience consuming data from web services using technologies such as web APIs, OAuth, and gRPC. Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework. Exposure to Java for Android, Objective-C, or Swift. Experience More ❯

Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal More ❯

degree, or a relevant professional qualification, or equivalent experience Some experience in software engineering using mainstream languages such as Python, Java or .Net (with related technologies) Some experience with SQL, PowerBI would be beneficial Show aptitude and an interest to get involved in a variety of problem solving activities as well as technologies covering varying roles Willingness to continually learn More ❯

a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. Ability to communicate complex More ❯

understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory/Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated More ❯

need to succeed This role demands strong technical capability and creative problem-solving. You will be expected to leverage tools such as Power BI, Power Fx, JavaScript, JSON, and SQL to deliver insights and functionality that empower decision-making across the business. A working knowledge of Azure services, REST APIs, and custom connector development will be advantageous, as will familiarity More ❯

need to succeed This role demands strong technical capability and creative problem-solving. You will be expected to leverage tools such as Power BI, Power Fx, JavaScript, JSON, and SQL to deliver insights and functionality that empower decision-making across the business. A working knowledge of Azure services, REST APIs, and custom connector development will be advantageous, as will familiarity More ❯

completeness Exceptional problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Power BI/Tableau etc) would be an advantage but not essential. Training You will undertake a Level 4 Data Analyst Apprenticeship where you will More ❯

a similar senior role Experience in designing and implementing Azure Data solutions using services such as: Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2 Azure SQL Database Azure Data Factory Azure DevOps Azure Stream Analytics Microsoft Power BI Familiar with Azure Purview An understanding of Master Data Management and Data Governance frameworks Familiar with development approaches More ❯

hybrid). Skilled in data visualisation and storytelling — able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI More ❯

or equivalent practical experience). Professional experience as a Full Stack Software Engineer, with a strong emphasis on Java (Java 11/17). Experience with relational databases (e.g., SQL, PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate, JPA). Solid understanding of front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). More ❯

of ERP data models (especially Oracle Financials) and integration patterns across platforms. Experience in working with large datasets, complex joins, and performance tuning of queries and reports. Proficient in SQL, data modeling, and preferably some exposure to ETL pipelines. Solid project management skills and the ability to handle multiple reporting workstreams simultaneously. Excellent communication and stakeholder management skills. Desirable Knowledge More ❯

with backend languages and frameworks such as Python, NodeJS, , Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures More ❯

modelling using Power Pivot, and scenario analysis tools. Experience in building dashboards, process automation, and preparing structured data for Power BI integration is essential. Power BI and Power Query. SQL for data extraction and manipulation. Python (preferred but not required). Personal Attributes: Strategic thinker with a hands-on approach to problem-solving. Strong interpersonal and communication skills. Motivated by More ❯

practices. Producing clear technical documentation for workflows, architectures, and configurations. Main Skills Needed: 5+ years of experience as a Data Engineer, ideally with Microsoft Fabric. Proficiency in Python, T-SQL, Power Query, and KQL. Solid knowledge of Azure DevOps and CI/CD best practices. Experience with secure multi-tenant data architectures (RLS and TLS). Familiar with Microsoft Purview More ❯

on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi-structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvec More ❯

capability, including DAX, Power Query, data modelling, and advanced visualisation Experience implementing Kimball modelling Strong data storytelling and design skills Proven experience in data manipulation, mining, and validation Confident SQL skills Experience with Azure or AWS Understanding of data warehousing, ideally Snowflake or Data Factory PL-300 certification or close to completion Analytical Skills Professional experience in an analytics role More ❯

technical specifications, reverse engineer existing systems to ensure alignment with best practices, and maintain comprehensive documentation. The ideal candidate possesses proven experience as a BI Engineer, strong proficiency in SQL, data warehousing concepts, and problem-solving skills, with any specific experience within the retail and general supply chain logistics sector being highly advantageous. Bonus skills include experience with Python, Azure More ❯

expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud More ❯

teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯