1,926 to 1,950 of 11,501 SQL Jobs in England

for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data More ❯

analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/Dash. Solid knowledge with of equity markets and investment principles, including More ❯

analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/Dash. Solid knowledge with of equity markets and investment principles, including More ❯

capabilities, and Oracle data architectures, including integration, scalability, and operational workflows. • Knowledge of best-in-class ERP and analytics platforms and their role in business service transformation. • Proficient in SQL, data modelling, performance tuning, and analytics security best practices. • Familiarity with Oracle Cloud ERP or HCM modules and their reporting frameworks. • Understanding of data security models, Oracle role-based access More ❯

as Scrum or Kanban. Experience of event driven microservices architecture. Worked with Jira, Azure Dev Ops (ADO), GitHub, Jenkins or Octopus automated deployments. Working knowledge of Microsoft .NET, Microsoft SQL, and Azure cloud. More ❯

Fluent English (preference for Fluent Spanish as well) Analytical and mathematical skills with great attention to detail Proven experience with BI Toolsets (Power BI, Tableau, Qlik) and competency in SQL, Powershell, BI tools, Microsoft Access, and Excel Thorough understanding of databases and their application Strong interpersonal and communication skills, able to interact with all levels of management and external suppliers More ❯

extract insights from vast data pools. The ideal analyst enjoys solving complex problems, quickly learning new systems, working with numbers, and organizing and communicating their work clearly. Proficiency in SQL, data visualization tools (Tableau, Power BI, QuickSight), and designing data schemas is essential for enabling colleagues like Business Intelligence Engineers and Data Engineers to interpret large datasets. BASIC QUALIFICATIONS 3+ More ❯

geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review More ❯

architecture. Solid knowledge of reactive programming using RxJS and observables. Proven experience with C#, ASP.NET, Web API, and Entity Framework. Familiarity with state management libraries and patterns. Experience with SQL and/or NoSQL databases, including performance optimization. Strong understanding of software development best practices, design patterns, and coding standards. Excellent communication skills, both verbal and written, with the ability More ❯

SAFe, Scrum, or Kanban frameworks. Experience with event-driven microservices architecture. Familiarity with Jira, Azure DevOps, GitHub, Jenkins, or Octopus for automated deployments. Working knowledge of Microsoft .NET, Microsoft SQL, and Azure cloud services. #J-18808-Ljbffr More ❯

Ops Engineer Skills Required: 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 Experience in the pensions or similar regulated More ❯

Developer, Automation Engineer, Software/Data Engineer). Ability to build solutions using scripting languages (e.g. Python, JavaScript, VBA). Experience with business intelligence tools (e.g. Power BI) and SQL/database architecture. Strong grasp of automation, API integration, and low-code tools. What’s on Offer A collaborative, entrepreneurial work culture with significant autonomy. The chance to shape the More ❯

Ops Engineer Skills Required: 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 Experience in the pensions or similar regulated More ❯

sharing Collaborate with architecture teams on platform design decisions Promote automation, efficiency, and strong data governance across the engineering function Technical Skills & Experience Strong background in data transformation projects SQL and Python for scripting and analytics Airflow (or equivalent workflow orchestration tools) Power BI , and optionally Plotly/Dash for data visualisation Strong experience with AWS or equivalent Spark or More ❯

Allvue, Investran, Dynamo, Dealcloud, or similar—highly desirable. Possess advanced skills in MS Excel, including functions, macros, and pivot tables. Experience working with financial data or technical tools like SQL and Power BI will be advantageous. Have previous experience with a financial organization or consulting firm. Demonstrate a genuine interest in building a career in management consulting with a passion More ❯

Additional Salesforce certifications (Platform Dev 1, Advanced Administrator, Sales/Experience Cloud) or ability to obtain within 24 months. Experience with declarative automation tools (e.g., Flow), data management, querying (SQL, SOQL, SOSL), and integration tools (DataLoader, middleware). Experience with environment and release management, DevOps tools, and security configurations. Knowledge of Agile methodologies and project lifecycle tools (e.g., Jira, ServiceNow More ❯

and managing complex applications. Experience with IT systems including ERP, Dassault MES, cloud tech, IoT, Power BI, PowerApps, and AI tools. Proficiency in programming languages such as C#, Oracle SQL, and PL/SQL. Understanding of Industry 4.0 technologies like IIoT, robotics, computer vision, and analytics. At Cummins, we are committed to diversity and inclusion. We offer equal employment opportunities More ❯

an analytical mindset, a strong interest in digital behaviour, and experience or ambition to thrive in the iGaming or online entertainment space. You will be excited to work with: SQL or Python for data extraction and analysis BI tools such as Tableau, Power BI, or similar for reporting and visualisation Cross-functional teams including product, marketing, and user experience Multiple More ❯

an analytical mindset, a strong interest in digital behaviour, and experience or ambition to thrive in the iGaming or online entertainment space. You will be excited to work with: SQL or Python for data extraction and analysis BI tools such as Tableau, Power BI, or similar for reporting and visualisation Cross-functional teams including product, marketing, and user experience Multiple More ❯

Analytics/data environment. Proficiency with digital analytics tools (e.g., Google Analytics or equivalent). Experience with visualization tools (e.g., Looker Studio, Power BI or equivalent). Experience with SQL environments (e.g., BigQuery, Databricks or equivalent). Strong analytical skills with the ability to draw concise insights from multiple data sets. Excellent stakeholder engagement and collaboration skills. Ability to manage More ❯

and innovation. Embrace AI-driven development and cutting-edge workflows to accelerate delivering customer value. Essential Skills & Experience Languages: React, Node, Vue, C# Stack: .NET/Azure Databases: MS SQL/IBM DB2/MySQL Tools: VS-Code, Visual Studio 2022 (Professional) Platforms: Azure AI: Co-Pilot Bonus Skills Understanding of scalability optimization. Knowledge of Database technologies. Background in HR More ❯

agenda and support the organisation's shift towards data-driven decision making Key Skills & Experience: Proven experience delivering data engineering solutions in Microsoft Azure (e.g. Data Factory, Synapse, Azure SQL, Data Lake) Strong proficiency in Power BI , including DAX, data modelling, and deployment Experience designing and implementing data warehouses and star schema models Background in building scalable data pipelines and More ❯

Development Software Support Software Change Management Skills and Qualifications Software development, deployment of new systems to replace obsolete software including optimisation of data visualisations for analysis Proficiency in Microsoft SQL, C#, ASP.NET, PHP and Power Automate/BI Web design and data analysis (CSS/PHP/HTML/JavaScript/ASP.NET) Designing and implementing API for data exchange (XML More ❯

proven experience as a backend engineer with a focus on Power BI solutions. Strong knowledge of Power BI architecture, data modeling, DAX, and AML. Proficient in designing and optimizing SQL queries, stored procedures, and data warehouses. Hands-on experience with ETL tools and data integration processes. Familiarity with data governance, security, and compliance standards. Strong problem-solving skills and attention More ❯

/Node.js proficiency Proven experience working in serverless AWS environments (Lambda, Step Functions, API Gateway, ECS) Experience designing and developing microservices with clean domain boundaries Good working knowledge of SQL and cloud databases (Aurora/Postgres, DynamoDB, Snowflake etc.) Familiarity with IaC tooling such as AWS CDK, CloudFormation or Terraform Experience working in Agile/Kanban teams with strong TDD More ❯