451 to 475 of 1,513 SQL Jobs in the UK excluding London

Experience working in Agile software development teams. Experience with Infrastructure as Code tools such as Terraform. Familiarity with NoSQL databases, particularly MongoDB. Experience with SQL databases such as PostgreSQL. What You'll Gain Work on high-profile digital transformation programmes across multiple industries. Exposure to modern technologies including Java, Kotlin ...

Strong understanding of: Data Governance Data Quality Performance Reporting KPI Frameworks Advanced Analytics Machine Learning concepts Experience working with environments such: Power BI Snowflake SQL-based platforms Desirable Public sector, education, employability, recruitment, or welfare-to-work experience. Labour Market Intelligence exposure. AI and Generative AI initiatives. Enterprise data strategy ...

Microsoft Office products. ISTQB/ISEB Certified Tester or Qualifications or equivalent. Experience with Azure DevOps. Experience with differing test environments/VMs/SQL/API testing tools. CI/CD Testing web front ends. We value the right mindset over perfect experienceif you bring industry knowledge ...

people can act on Experience in a regulated environment, such as financial services, fintech or gambling, which will help you settle in quickly Pure SQL experience matters less here than commercial curiosity. They want someone who looks beyond the numbers. The package £45,000 salary Monday to Friday ...

Hands-on experience with GA4 and GTM, plus an A/B testing tool such as Optimizely, VWO, AB Tasty or Adobe Target Confident SQL, with experience querying data warehouses (BigQuery ideally) Experience creating dashboards and reports in Power BI, Looker Studio or a similar tool A good grasp ...

direction for modern data and analytics platforms within Microsoft-based technology environments, including Microsoft Fabric, Power BI, Azure Data Lake, Azure Data Factory, Azure SQL and associated services . Define architectural approaches and design principles for data integration, storage, modelling and consumption, including modern data warehouses, lakehouses and enterprise semantic ...

conventions with our Data Engineer. Ideal Candidate Proven analytics engineering experience, with production models you've built that other people depend on. Excellent SQL and hands-on Dataform or dbt (testing and documentation included), ideally on BigQuery, with an eye for cost as well as correctness. Strong data modelling ...

system decomposition. Experience designing REST APIs, web services and interfaces between multiple systems. Knowledge of microservices, distributed systems and event-driven architectures. Experience with SQL databases, relational data modelling and handling operational data. Understanding of asynchronous messaging, system queues and service-to-service communication. Experience with cloud, on-premises ...

academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. Strong Engineering Foundation: Excellent Python and SQL skills. Terraform and CI/CD are must-haves. Regulated Environment Experience: Youve worked in a corporate or regulated environment (financial services, public sector, insurance, etc. ...

operational support. Data Modelling & Storage: Strong data modelling skills and the ability to select appropriate data storesincluding relational, NoSQL, graph, time-series, distributed SQL and lakehouse technologiesbased on business and technical requirements. End-to-End Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch ...

Microsoft Azure. Designing, building, securing and interacting with APIs. Strong knowledge of SOLID principles and system and application architecture patterns. Solid database experience using SQL and NoSQL databases and ORMs. Good development experience with any contemporary web application framework. Strong experience delivering solutions within an Agile environment. Knowledge of OWASP ...

operational processes using scripting languages such as Python, Bash or PowerShell. Manage GCP services, including Google Kubernetes Engine (GKE), Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration solutions using Docker and Kubernetes. Establish monitoring, logging, alerting and observability using Google Cloud Operations Suite ...

Engineering Stack: Proficiency in most of our core technologies (Java, Spring/Spring Boot, JavaScript/TypeScript frameworks such as React or Angular, and SQL), with a willingness to learn others. Experience with Python is desirable but not essential. Agentic Engineering: Proven experience using agentic coding workflows and modern ...

across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business … data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. ...

data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Establish and maintain data quality standards, governance practices, and reporting best practices. Partner with leadership teams to define … Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability ...

data transformation, data models, schemas, metadata, and workload management (Metadata Driven Ingestion). Good working experience of database technologies and database integration, such as SQL, Postgres, MySQL or Oracle. Experience in Python (PySpark) Experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities using … will be of benefit, including: Data Platform tools CI/CD using Azure DevOps IT Security practices Development tools and languages (e.g. Python/SQL) Required Qualifications, Certificates or Licences Minimum of Degree level or equivalent experience. Extensive industry experience in data development projects Other Technical qualifications will be considered. ...

Data Engineer – Python/SQL/Azure/Databricks Location: Southampton, Hampshire Job Type: Permanent, Full-Time Salary: Competitive + Excellent Benefits The Opportunity An exciting opportunity has arisen for a talented Data Engineer to join a leading organisation. You will play a key role in developing and enhancing … issues and continuously improve platform performance and reliability. Essential Skills & Experience Strong commercial experience in Data Engineering, particularly developing data pipelines using Python. Excellent SQL skills and a solid understanding of database design and data modelling. Experience working with cloud-based data platforms, ideally Microsoft Azure and/or Databricks. ...

Services team through technical guidance and knowledge transfer. Essential experience Strong hands-on Microsoft Fabric experience, including Lakehouses, Warehouses, pipelines and semantic models. Advanced SQL, dimensional modelling, Power BI and governed business metrics. Practical experience connecting LLMs or AI agents to structured enterprise data, beyond document-based RAG. Strong understanding ...

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 ...

Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases SQL or NoSQL Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration ...

sciences Proficiency in Python, with experience in cheminformatics libraries and topics (such as RDKit, Open Babel, InChI, SMILES/SMARTS) Experience working with relational (SQL) databases Familiarity working in a structured collaborative data and software development environment (git, GitHub/GitLab) Proficient in working with Linux operating systems. Self-motivated ...

considered Confident, everyday use of AI tools such as ChatGPT, Claude or GitHub Copilot to support development and problem-solving Working knowledge of SQL and data Experience using Git and GitHub, including branching and pull requests Familiarity with Jira, Confluence or similar project management and documentation tools Strong communication skills ...

Doing Design, develop and maintain reliable data pipelines and processes supporting sports analytics and performance activities. Work extensively with Python and SQL to process, transform and manage complex datasets. Support and develop the organisation's growing Databricks environment, improving the scalability and efficiency of its data platform. Manage and integrate ...

Essential Requirements 2-5 years’ experience in data engineering, software engineering, analytics engineering or a solutions/forward deployed engineering role Strong Python and SQL, with experience building data pipelines or integrations Client-facing confidence: comfortable working directly with customers and translating business needs into technical delivery Strong problem-solving ...

recommendations and actions. Strong knowledge of modern data environments, CRM platforms, business intelligence tools and data integration is important. Experience with technologies such as SQL, Power BI, Tableau, Looker, HubSpot or Salesforce would be highly advantageous. You will also understand data governance, UK GDPR and the importance of maintaining appropriate ...