2,226 to 2,250 of 7,703 SQL Jobs in the UK

engage across the business, influence senior stakeholders and design data models that support better services and outcomes. The organisation currently operates an on-premises SQL environment with Tableau reporting. As part of its transformation journey, it plans to move towards Microsoft Fabric and Databricks. What you'll be doing·Defining … Data, Analytics, Infrastructure, Architecture and Security teams. What we're looking for·Proven experience as a Data Architect with strong data modelling expertise.·Strong SQL Server and data architecture experience.·Experience working within Tableau reporting environments.·Experience with Microsoft Fabric, Databricks or similar modern cloud data platforms would be advantageous. ...

related field. Strong expertise in marketing analytics, building MMM model via Meridian, Robynand/or PyMc, multi touch attribution, customer lifecycle modelling. Proficiency in SQL, Python, R, PySpark and dashboarding in PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation … actionable business strategies. Preferred experience in the eCommerce, technology or marketing industry. So if youre an expert in Data Science, have strong Python/SQL/Pyspark skills and considerable knowledge in test design, implementation and reporting, can work with initiative and can build great working relationships within the business ...

insight and optimisation of our businesses performance in a safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach … analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/SQL This role ...

unclear business questions into practical analytical solutions Creating and developing dashboards, management information and reporting using Power BI and other BI platforms Using SQL to investigate datasets, identify trends, answer questions and uncover areas requiring further investigation Bringing together information from different systems and databases to create a clearer picture … what they need, and you'll have the analytical ability to turn those conversations into something useful. Youll ideally have: Strong commercial experience using SQL to investigate and manipulate data Experience working with relational databases and extracting information from multiple sources A background in BI, reporting, data analysis or business ...

infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes … Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes … Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

with Docker, Kubernetes, or containerized application deployments. Experience with infrastructure as code tools such as Terraform, Bicep, ARM templates, Ansible, or similar. Experience with SQL Server, PostgreSQL, or other relational databases. Experience with monitoring tools such as Azure Monitor, Application Insights, Grafana, Prometheus, Datadog, or similar. Experience supporting change control … incident management, and audit-ready documentation. Technical Skills Preferred experience with: Python, PowerShell, Bash, Go, JavaScript, C#, or SQL REST APIs and backend service automation GitHub Actions, Azure DevOps, Jenkins, or similar CI/CD tools Azure App Services, Azure Functions, virtual machines, storage, networking, and monitoring Docker and Linux ...

Platform technologies including Power Apps, Power Automate and Dataverse Knowledge of Umbraco CMS or similar content management systems Experience developing APIs and system integrations SQL Server and T-SQL knowledge Experience using Git version control Exposure to CRM systems, customisations or integrations would be advantageous Strong problem-solving skills ...

team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance, architecture, technology, risk and compliance teams, turning complex regulatory and metadata … govern large-scale financial and risk data sets, with attention to performance, data integrity and regulatory control requirements. Work with APIs, JSON, YAML and SQL, using AI-assisted coding tools responsibly to improve delivery, reviewing all outputs for security, compliance and maintainability. Required Skills and Experience Strong Python development skills ...

modern frameworks·Working with vector databases, APIs and modern data platforms·Supporting AI deployment, serving patterns, evaluation frameworks and integration design·Using Python and SQL to build robust, scalable AI and data solutions·Working with cloud platforms such as AWS, Azure, GCP or Databricks·Supporting MLOps, LLMOps, CI/… across complex environments·Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environmentExperience Required:·Strong Python and SQL experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent ...

still expected to hold your own with business and technical stakeholders day to day. RESPONSIBILITIES Analyse large, complex, multi-source datasets in SQL and turn the results into clear, usable findings. Build and maintain dashboards and data visualisations in Tableau or Power BI that business and technical teams actually use. … making. Work directly with business and technical stakeholders, translating between the two and keeping the analysis grounded in what they need. ESSENTIAL SKILLS Strong SQL and hands-on experience analysing large-scale data across complex, multi-source datasets. Experience with AWS data services, particularly S3, DynamoDB and Athena. Dashboarding ...

modern frameworks·Working with vector databases, APIs and modern data platforms·Supporting AI deployment, serving patterns, evaluation frameworks and integration design·Using Python and SQL to build robust, scalable AI and data solutions·Working with cloud platforms such as AWS, Azure, GCP or Databricks·Supporting MLOps, LLMOps, CI/… across complex environments·Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environmentExperience Required:·Strong Python and SQL experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent ...

preparation and transformation for analysis. * Collaborating closely with cross-functional teams to understand their analytical needs and translate these requirements into practical solutions. * Utilising SQL and Data Warehouse experience to extract, transform, and load data from diverse sources into unified reporting structures. * Leveraging Python skills where possible to automate workflows … required to meet stakeholder needs effectively. * Demonstrated ability in manipulating large datasets using advanced techniques ensures accurate analysis and reporting. * Familiarity with SQL and Data Warehouse concepts enables efficient extraction, transformation, and loading of data from multiple sources. * Strong background in creating visually engaging data presentations helps communicate findings clearly ...

still expected to hold your own with business and technical stakeholders day to day. RESPONSIBILITIES Analyse large, complex, multi-source datasets in SQL and turn the results into clear, usable findings. Build and maintain dashboards and data visualisations in Tableau or Power BI that business and technical teams actually use. … making. Work directly with business and technical stakeholders, translating between the two and keeping the analysis grounded in what they need. ESSENTIAL SKILLS Strong SQL and hands-on experience analysing large-scale data across complex, multi-source datasets. Experience with AWS data services, particularly S3, DynamoDB and Athena. Dashboarding ...

support and standards of a wider engineering organisation behind you. Specific responsibilities include, but are not limited to: Lead the migration of legacy SQL solutions into Databricks Jobs, Workflows, and PySpark/SQL pipelines, maintaining operational SLAs throughout Define the target-state data architecture - Lakehouse, Medallion, and domain-oriented data … control strategies Implement CI/CD pipelines for Databricks assets using source control, automated testing, and Infrastructure-as-Code where applicable Tune Spark and SQL workloads for performance and cost, optimising Delta Lake structures, partitioning, and computing strategy Partner with Security, Infrastructure, and Risk teams to design secure, least-privilege ...

solution/package deployments across environments Manage source control, branching, versioning, and release processes Monitor and troubleshoot F&O performance issues, including batch jobs, SQL/Azure SQL performance, and overall environment health Develop proactive monitoring, alerting, and operational documentation, driving continuous improvement through automation Manage data integrations between … release processes using Git Familiarity with Microsoft Dev Box/Power Platform Admin Center (PPAC) for developer environment provisioning Strong Azure fundamentals - Azure SQL, storage, networking, Azure Monitor, and Log Analytics Experience with storage management and cost/storage reduction initiatives within Azure/D365 environments Experience with ...

package deploymentAutomate solution/package deployments across environmentsManage source control, branching, versioning, and release processesMonitor and troubleshoot F&O performance issues, including batch jobs, SQL/Azure SQL performance, and overall environment healthDevelop proactive monitoring, alerting, and operational documentation, driving continuous improvement through automationManage data integrations between … branching strategies, and release processes using GitFamiliarity with Microsoft Dev Box/Power Platform Admin Center (PPAC) for developer environment provisioningStrong Azure fundamentals — Azure SQL, storage, networking, Azure Monitor, and Log AnalyticsExperience with storage management and cost/storage reduction initiatives within Azure/D365 environmentsExperience with F&O data ...

Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder … kind of person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the so what? in plain language. Most importantly ...

narratives with actionable recommendations that influence business decisions. The ideal candidate will have at least 5 years of experience, strong skills in BigQuery and SQL, and proficiency in Google Analytics and visualisation tools like Power BI. Core benefits include a 20% staff discount, wellbeing support, and a pension scheme. #J ...

supporting key business systems including ERP, WMS, HR, Payroll, Manufacturing, Logistics, and Reporting solutions. Success in the role requires strong application support, integration, SQL, problem-solving, and stakeholder management skills, with a focus on delivering practical technology solutions that improve business performance. Key Responsibilities Provide 1st, 2nd and 3rd line … line level. Strong analytical, troubleshooting and problem-solving skills. Hands-on experience with Microsoft Power Automate and Power Apps. Knowledge of SQL and database technologies. Understanding of ERP systems, particularly Microsoft Dynamics 365 Business Central or similar. Ability to gather business requirements, translate them into technical solutions and delivering application ...

driven integrations using Java-based job workers.Build and integrate React-based user interfaces for handling user tasks.Develop and maintain backend services using Java and SQL-based systems.Analyze business requirements and deliver clean, scalable, and testable code.Ensure all features and user stories are delivered with 100% automated test coverage.Participate actively … Spring Boot, JPA, Hibernate, JUnit, Rest Assured, and Mockito.Hands-on experience with React.js, Redux, Axios, JavaScript, HTML, and CSS for building responsive user interfaces.Strong SQL knowledge (MS SQL preferred) and experience working with aPaaS platforms, particularly OpenShift V4.Familiarity with GitLab, Stash, Jenkins, Nexus, JIRA, Confluence, SonarQube, Veracode, and experience using ...

using Java-based job workers. Build and integrate React-based user interfaces for handling user tasks. Develop and maintain backend services using Java and SQL-based systems. Analyze business requirements and deliver clean, scalable, and testable code. Ensure all features and user stories are delivered with 100% automated test coverage. … Hibernate, JUnit, Rest Assured, and Mockito. Hands-on experience with React.js, Redux, Axios, JavaScript, HTML, and CSS for building responsive user interfaces. Strong SQL knowledge (MS SQL preferred) and experience working with aPaaS platforms, particularly OpenShift V4. Familiarity with GitLab, Stash, Jenkins, Nexus, JIRA, Confluence, SonarQube, Veracode, and experience using ...

motivated by continuous improvement and committed to maintaining the highest standards of data integrity, security, and compliance. What You'll Bring: Strong experience in SQL database development, optimisation, and administration. Strong experience of managing databases in a clustered environment. Experience of supporting SQL in an Azure environment. Expertise in writing … complex SQL statements and SSIS packages for data integration. Expertise in developing data pipelines, integrations, and managing complex datasets. A proactive approach to troubleshooting, performance tuning, and problem solving. Knowledge of data protection principles and secure data management practices. The ability to build positive relationships and support colleagues through training ...

technical stakeholders. Depending on the project, that could involve: Designing and building scalable data pipelines Developing data platforms and integrations Working with Python, SQL and modern cloud technologies Improving data quality, reliability and accessibility Testing, troubleshooting and improving existing platforms Working with orchestration and version-control tooling Understanding client requirements … have a minium of 4 years of commercial engineering experience and a strong grounding in data engineering. You'll likely have experience with: Python SQL AWS, Azure or GCP Building production data pipelines Data modelling and data platforms Git Airflow or similar orchestration technologies Testing, debugging and improving data reliability ...

with performance, resilience and cost considered from the outset. Your knowledge and experience Strong practical architecture experience with a modern cloud data platform, advanced SQL and engineering-led data delivery; candidates should be able to review designs at pipeline, schema and integration level. OLAP & OLTP architecture experience - Snowflake and Oracle … equivalent) Data architecture and data engineering patterns across batch, event-driven and analytical workloads Cloud data platform, warehouse and lakehouse architecture Advanced SQL and strong understanding of ELT/data transformation patterns Data integration, orchestration, APIs and event-driven architecture Logical, physical and semantic data design Data product schemas, interfaces ...