1,551 to 1,575 of 14,064 SQL Jobs in England

platform projects ● Hands-on experience with Snowflake platform solutions ● Strong understanding of end-to-end data architecture, including ETL/ELT, data modeling, and business intelligence tools ● Experience with SQL, Python, Java, and/or Spark in data engineering or analytics contexts ● Familiarity with large-scale data warehouse technologies (e.g., Snowflake, Teradata, Greenplum, Netezza, etc.) ● Expertise in data security design More ❯

agile. Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder communication. Advanced Power BI experience, including DAX, data model optimisation, and workspace More ❯

agile. Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder communication. Advanced Power BI experience, including DAX, data model optimisation, and workspace More ❯

practices. Present findings and recommendations using Power BI, Azure Data Explorer, and Azure AI Services. Key Competencies Experience in data science, machine learning, or related fields. Proficiency in Python, SQL, or similar languages. Experience with Azure or similar cloud platforms for data science and ML. Knowledge of generative AI and LLM frameworks. Understanding of AI ethics, data privacy, and responsible More ❯

data governance tools is highly advantageous. Experience supporting ECB onboarding and regulatory change initiatives. Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. #J-18808-Ljbffr More ❯

in Computer Science, Engineering, Math, Finance, Statistics or related discipline. - 8+ years of experience in using quantitative analysis. - Experience with all of the following preferred: Ruby, Perl, Oracle, Redshift, SQL, Python - Master's degree in statistics, data science, or an equivalent quantitative field - Graduate degree in Engineering, Logistics, or another quantitative field preferred. - Experience with BI analytics/reporting/ More ❯

data governance tools is highly advantageous. Experience supporting ECB onboarding and regulatory change initiatives. Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. #J-18808-Ljbffr More ❯

development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability to use a version control system (e.g. git) for code management and collaboration. Proficiency in More ❯

certifications (e.g., SAC, SAP BW) are a plus. Preferred Skills Experience with other SAP solutions (e.g., SAP S/4HANA, SAP BusinessObjects). Knowledge of programming languages such as SQL, R, or Python for data manipulation. Familiarity with Agile methodologies and project management tools Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job More ❯

Okta, or Auth0. Proven collaboration with mobile development teams to support seamless integration. Prior experience in banking or financial services with awareness of compliance and security standards. Proficiency with SQL databases (PostgreSQL, MySQL, Oracle) and CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI. Strong communication skills with the ability to produce clear technical documentation. Preferred More ❯

Okta, or Auth0. Proven collaboration with mobile development teams to support seamless integration. Prior experience in banking or financial services with awareness of compliance and security standards. Proficiency with SQL databases (PostgreSQL, MySQL, Oracle) and CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI. Strong communication skills with the ability to produce clear technical documentation. Preferred More ❯

Strong proficiency in back-end development using C# and .NET Core 5/6. CI/CD pipeline experience, using GitHub Actions or Azure DevOps. Database development skills in SQL, NoSQL, and cloud-native data stores. Front-end development experience using React, with a solid grasp of UI/UX design and usability principles. Proven experience in Agile teams, applying More ❯

with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen for application health through performance monitoring, logging, and debugging AWS or More ❯

Okta, or Auth0. Proven collaboration with mobile development teams to support seamless integration. Prior experience in banking or financial services with awareness of compliance and security standards. Proficiency with SQL databases (PostgreSQL, MySQL, Oracle) and CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI. Strong communication skills with the ability to produce clear technical documentation. Preferred More ❯

JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in data structure and algorithm design and implementation Proficiency in time-series data analysis, cleansing, and normalization Working knowledge of Agile software development methodology Solid understanding More ❯

Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such as Spark, Hadoop, or Kafka, is a plus. Strong problem-solving skills and the ability to work in a collaborative team More ❯

Lambda. Proficiency in Python or Go (Golang), with a focus on building production-quality services. Experience working with relational, document, or time-series databases and expertise in writing performant SQL queries. Solid understanding of Kubernetes and container orchestration in production environments. Strong problem-solving skills with the ability to collaborate and contribute to solutions effectively. Proven ability to design and More ❯

defects, and implement secure coding practices. Results-driven, with the capacity to meet strict deadlines and service level agreements (SLAs). Ideally, familiarity with workflow management tools like Airflow, SQL database management, Linux command-line interface, Microsoft Dynamics 365 Finance and Operations, and Power Apps. The Package: Basic annual salary up to £80,000 per annum. 25 days annual leave More ❯

Join to apply for the Modelling Developer role at AXIS (AXIS Capital) About AXIS Capital AXIS Capital is a trusted global provider of specialty lines insurance and reinsurance. We are known for outstanding client service, intelligent risk-taking, and superior More ❯

quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency in SQL Management Studio. Microsoft Fabric expertise, especially focused on Power BI development but also including Data Factory, Dataflow Gen2 and data pipeline creation. Demonstrated ability to design and implement data models More ❯

and maintain data warehouses to efficiently store large, complex datasets in a cost-optimal manner. Ingest and assemble data from various disparate sources using a variety of tools, including SQL and Python. Work with internal/external stakeholders to identify and understand needs and project goals. Lead the migration of development code into production, providing technical assistance and guidance to More ❯

documentation of processes and procedures Required Skills & Qualifications - Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or related field - Basic programming skills in Python or R - Understanding of SQL and database concepts - Proficiency in Excel and data visualization tools - Strong analytical and problem-solving abilities - Excellent attention to detail - Good communication skills Preferred Skills - Knowledge of financial markets and More ❯

science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering, and time series forecasting. Data Pipelines More ❯

Social network you want to login/join with: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a milestone of over 1 billion More ❯

apprentice’s role and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional). An apprenticeship has to be relevant to the job you are undertaking More ❯