151 to 175 of 1,519 SQL Jobs in the UK excluding London

ensure technical solutions meet real business requirements. Technical experience We are looking for strong experience in the following areas: Programming Strong Python and SQL skills are essential. Experience with other programming languages is beneficial. Data engineering Proven experience designing, building and operating production-grade data pipelines end to end. Modern ...

engaging presentations. Enable the organisation to discover insights from data by exposing it in a meaningful and actionable way. Qualifications You have experience with SQL and building data pipelines (dbt experience is preferable). You are confident working with complex data models and are able to independently design and implement ...

into trusted products Able to act as a mentor and coach to others within the team. Someone who can bring a passion for data, SQL, dbt and Python, with experience building scalable pipelines, transformations and reusable datasets Engages data engineering delivery with curiosity and ownership. Someone who builds in data ...

Data Platforms: Proven expertise in architecting and operating data solutions within enterprise cloud data warehouses (e.g., modern columnar cloud platforms). Transformation & Orchestration: Advanced SQL and Python engineering skills with deep experience in modern data transformation frameworks and workflow DAG orchestrators. Complex Data Modeling(dbt): Demonstrated track record modeling ...

distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON. Hands-on experience designing and building scalable applications using SQL and NoSQL databases. Understanding of application resiliency Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration ...

services to build and deploy cloud-based solutions, ensuring high availability and scalability. Database Management:Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing:Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality:Ensure code quality through ...

Core/6+) for backend and service development. Strong practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics). Containers, Container Apps, Kubernetes and microservices Experience designing, building and operating containerised microservices, including Docker ...

moves fast, and the role requires staying current Nice to Have Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features Basic SQL or Python skills for exploring data sets and validating AI/data outputs Awareness of responsible AI principles (bias, privacy, explainability, human oversight) Salesforce certifications ...

architecture skills including ingestion, transformation, harmonisation, governance, metadata management and data quality principles. • You’ll have strong integration experience across REST APIs, SOAP APIs, SQL, ETL and ELT frameworks, MuleSoft and event-driven architectures. • You’ll have experience integrating Salesforce with enterprise platforms such as Snowflake, Databricks, Azure Data Lake ...

secure, scalable Data Engineering solutions. Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses. Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting structured/unstructured source data into validatd ...

secure, scalable Data Engineering solutions. Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses. Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting structured/unstructured source data into validatd ...

platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data sources. Migration … modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/ ...

Framework or comparable JVM backend frameworks; Pekko or Akka experience is highly relevant. • Strong understanding of relational databases, especially MySQL, with practical knowledge of SQL optimization, indexes, query profiling, and transaction behaviour. • Experience using Redis or similar technologies for caching, session handling, or performance-sensitive workloads. • Deep understanding ...

independent initiatives in facilitating information gathering, structured documentation, and presentation of findings to all levels of the business Design, develop, model, and create SQL data structures to integrate, prepare, and generate reports Develop and build dashboards and visualizations in Sisense or similar BI tools. (Power BI, Looker, Tableau, etc) Work ...

data independently. Analyse purchasing and operational KPIs, including cost, quality, delivery and supplier performance. Work with data from systems such as Oracle, Snowflake and SQL databases. Collaborate with stakeholders to understand reporting needs and present findings clearly. Identify opportunities to improve data quality, reporting efficiency and business processes. What ...

Data Engineering or a closely related discipline. Strong hands-on experience with modern cloud data platforms , managed databases, storage and orchestration services. Advanced SQL , database design and performance tuning skills. Experience with ETL/ELT pipelines, API integrations and automated data processes . Experience with Business Intelligence , including DAX, Power ...

Strong communication skills, with the ability to collaborate effectively with engineers, product managers, QE and other stakeholders. Hands on experience in: C# .NET Core SQL NOSQL Azure Functions Azure Data Factory Logic Apps Service bus queue Storage Account Application Insights Key Vault Event Grid Container Registry Batch account Core Competencies ...

Need to Succeed: Experience in data analysis, reporting, operations, or similar role Strong Excel skills (Pivot Tables, XLOOKUP, data cleaning, reporting) Basic SQL knowledge preferred Python or BI tools (Power BI/Tableau) is a plus Strong attention to detail and ability to work with large datasets Ability to translate ...

strong technical background in processing location-based data and turning complex information into reliable, usable datasets. You'll ideally have experience with: Python and SQL , including building data pipelines and API integrations. PostgreSQL/PostGIS and spatial data modelling. GIS tools such as QGIS and geospatial libraries including GeoPandas, Shapely ...

generation and business value. Share knowledge, support colleagues and contribute to the development of analytical capability across the wider organisation. Skills & Experience Essential Strong SQL skills , with the ability to query, manipulate and analyse data to deliver accurate reporting and meaningful insights. Proven experience in a Data Analyst or Senior ...

into the tech industry as an Associate Technology Consultant, specialising in AI Engineering and Software Quality Engineering Training in core tech skills, including Agile, SQL, databases, APIs, programming, software testing and test automation. An introduction to data science, including data analysis, statistics and visualisation. Training in Python and tools such ...

engineering capability with demonstrated experience building dashboards and web experiences end-to-end, spanning frontend, back-of-frontend, and backend integration Experience working with SQL databases and analytical data stores at scale, including data warehouse concepts and query optimization Demonstrated engineering practices including CI/CD pipeline implementation, automated testing ...

Python for AI, automation, data processing or back-end development. Experience connecting applications and workflows to APIs, enterprise systems and business data. Knowledge of SQL, relational databases and modern data-pipeline approaches. Understanding of modern AI capabilities, including language models, agent-based workflows, retrieval and tool use. Experience applying good ...

dashboards. Supporting forecasting and predictive analytics. Improving data quality and reporting processes. Working with stakeholders to deliver data-driven solutions. About you: Strong SQL and analytical skills. Experience in data analysis, modelling or data science. Experience with forecasting and predictive analytics. Exposure to Power BI and modern data platforms such ...

variety of projects while exploring how Agentic AI is transforming data engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such ...