176 to 200 of 4,259 SQL Jobs in England

Platform. Expertise in DSP frameworks and SAC architecture for data integration. Skilled in ETL processes, data modeling, and data validation. Programming knowledge in at least one language: Python/SQL/Java. Hands-on and "can do" attitude. Excellent leadership, communication, and stakeholder management skills. Strong communication skills in English and effective interpersonal skills. Strong analytical and problem-solving capabilities. More ❯

availability solutions tailored to business needs. Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as VPCs, Transit Gateway, Direct Connect More ❯

both technical and non-technical. An ability to tell stories through data and dashboards to an audience that may or may not be data savvy. A strong background in SQL with proficient understand of the Group Data Warehouse (GDW) and a desire to learn and utilise Google Cloud Platform (GCP) & Big Query. Experience of Data Visualisation tools such as Tableau More ❯

LangChain, LlamaIndex, CrewAI, Semantic Kernel, Autogen and Agno. An understanding of how Large Language Models (LLMs) work. Data Engineering & Modelling: Understanding of ORM/entity relationships, NoSQL, JSON, XML, SQL and exposure to data visualisation tools (ETL/ELT). Data Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using More ❯

improvement in data quality Take on leading team members towards best practises implementation & guiding with solution designing. Essential skills/experience: Good understanding of database architecture and querying using SQL, with a minimum 4 years post-university experience. A sound understanding of data transformation and cleaning. Experience working with Power BI for Dashboard creation. Experience working with Snowflake. Demonstratable programming More ❯

design and implementation. Strong knowledge of data engineering principles and practices. Expertise in data warehousing, data modelling, and data integration. Experience in MLOps and machine learning pipelines. Proficiency in SQL and data manipulation languages. Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS. Education & Qualifications Bachelors or Masters degree More ❯

help us improve how the RAD org operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision More ❯

Computer Science, or a similar area 5+ years of experience working as a professional software engineer, data in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Deep understanding of building Knowledge Graphs entailing biological ontologies, and More ❯

and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional More ❯

smarter decisions, better insights, and streamlined operations.Key skills and responsibilities * Proven experience in data engineering and data platform development * Strong programming skills in Python, Java, Scala, or similar * Advanced SQL and deep knowledge of relational databases * Hands-on experience with ETL tools and building robust data pipelines * Familiarity with data science, AI/ML integration, and cloud platforms (AWS, Azure More ❯

intuitive, self-serve data models Own data products end-to-end, from design to continuous improvement Promote innovation and best practices in data engineering About You: Strong experience with SQL, Python, and BI tools (e.g., Power BI) Solid understanding of dimensional modelling and data architecture Experience working in governed, decentralised data environments Excellent communication and stakeholder engagement skills Analytical mindset More ❯

into scalable BI solutions, primarily using Power BI Essential Requirements Product Management experience focused on BI and internal data tools Technical experience with: Cloud platform (AWS, GCP or Azure) SQL (intermediate to advanced) Python (some experience required) Visualisation tools (Tableau, Looker, or Power BI) Interview Process Intro Conversation - with the Co-Founder (30-45 mins) Live Task - screen-sharing session More ❯

week. Key requirements include: 3+ years experience in data engineering roles, delivering integrated data-driven applications Hands-on experience with Microsoft Fabric components (Pipelines, Lakehouse, Warehouses) Proficient in T-SQL and either Apache Spark or Python for data engineering Comfortable working across cloud platforms, with emphasis on Microsoft Azure Familiarity with REST APIs and integrating external data sources into applications More ❯

C#, JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a More ❯

C#, JavaScript, Python Azure, Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a More ❯

and the ability to interpret complex data and investment processes. Experience in data mapping and transformation. Experience with data visualisation tools such as Power BI and Tableau. Proficiency in SQL, AWS and Python. Strong communication skills and the ability to clearly translate technical issues into business context and vice versa. Exposure to ML models and AI frameworks in financial modelling More ❯

and the ability to interpret complex data and investment processes. Experience in data mapping and transformation. Experience with data visualisation tools such as Power BI and Tableau. Proficiency in SQL, AWS and Python. Strong communication skills and the ability to clearly translate technical issues into business context and vice versa. Exposure to ML models and AI frameworks in financial modelling More ❯

architectural decisions and participate in shaping technical direction What You’ll Bring: 3–5+ years of commercial software development experience Proficiency in C#, .NET (Core/Framework), Angular, MS SQL, Docker, and AWS ECS Experience with REST APIs, event-driven design, and messaging tools like RabbitMQ Comfortable in small agile teams and modern DevOps workflows (CI/CD, Git) Strong More ❯

decisions and participate in shaping technical direction What You'll Bring: 3-5+ years of commercial software development experience Proficiency in C#, .NET (Core/Framework), Angular, MS SQL, Docker, and AWS ECS Experience with REST APIs, event-driven design, and messaging tools like RabbitMQ Comfortable in small agile teams and modern DevOps workflows (CI/CD, Git) Strong More ❯

architectural decisions and participate in shaping technical direction What You’ll Bring: 3–5+ years of commercial software development experience Proficiency in C#, .NET (Core/Framework), Angular, MS SQL, Docker, and AWS ECS Experience with REST APIs, event-driven design, and messaging tools like RabbitMQ Comfortable in small agile teams and modern DevOps workflows (CI/CD, Git) Strong More ❯

performance and provide insightful recommendations It's a bonus if you have! Previous experience presenting information to key stake holders Working knowledge of one or more of the following: SQL, R, Python, C++, Java Knowledge and practical experience with Power BI If you are interested in this fantastic opportunity based near Birmingham, please apply direct with an updated CV. Apply More ❯

your experience which are desirable to our client include: Data architecture and modelling. Python GIT Agile Practices (e.g. Scrum or Kanban). Continuous integration pipelines (Azure DevOPs, TeamCity, Jenkins) SQL API integrations. More ❯

JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high-quality features Growing technical ownership and contributions Positive impact on team More ❯

.NET Developer, C# - Financial Consultancy - London (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Azure, WPF, MVVM, Prism, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in the early 1970s, our client delivers cutting edge I.T solutions to banks. With over 70,000 employees in over 50 countries and strong partnerships with some More ❯

and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data More ❯