1,801 to 1,825 of 13,705 SQL Jobs in England

with cross-functional teams to translate business goals into data-driven solutions. Communicate insights clearly and effectively to technical and non-technical stakeholders. Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python. Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact. How Will Your Time Be Spent … and leadership to understand data needs, guide decision-making, and translate insights into clear business actions. Identifying opportunities for optimization across customer journey touchpoints. 15% on Execution & Tooling – Writing SQL/Python code, automating reports, maintaining data pipelines, and improving data infrastructure in collaboration with data engineers. 10% on Experimentation & Innovation – Designing and analyzing experiments (e.g., pricing tests, offer variations … of LTV modeling, forecasting, and experimental design. Comprehension of A/B testing methodologies Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Strong SQL skills and experience working with large datasets in modern data environments. Experience working with cross-functional growth or marketing teams. Competent user of data visualisation tools Comfortable working in fast More ❯

generate ideas, prioritize opportunities, execute and measure success - Experience in complex problem solving, root cause analysis in a business environment - Intermediate or advance proficiency with Microsoft Excel, knowledge in SQL - Demonstrated experience leading large-scale, complex cross-functional projects - Proven track record of implementing sustainable process improvements - Preferred qualifications are not required to apply for a position at Amazon. If … chain/logistics - Work experience in a data-driven business environment - Ability to work successfully in a dynamic, ambiguous environment - Experience in data visualization platforms (e.g. Tableau, PowerBI, Quicksight) - SQL proficiency for large dataset manipulation - Experience with process mapping and audit methodology - Understanding of logistics network planning principles Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

generate ideas, prioritize opportunities, execute and measure success - Experience in complex problem solving, root cause analysis in a business environment - Intermediate or advance proficiency with Microsoft Excel, knowledge in SQL - Demonstrated experience leading large-scale, complex cross-functional projects - Proven track record of implementing sustainable process improvements - Preferred qualifications are not required to apply for a position at Amazon. If … chain/logistics - Work experience in a data-driven business environment - Ability to work successfully in a dynamic, ambiguous environment - Experience in data visualization platforms (e.g. Tableau, PowerBI, Quicksight) - SQL proficiency for large dataset manipulation - Experience with process mapping and audit methodology - Understanding of logistics network planning principles Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

critical projects, contributing to design decisions. Proven project delivery and advanced data validation experience are advantageous. Key Skills & Experience: Proficiency with database systems such as Amazon Aurora MySQL, Microsoft SQL, Oracle, DynamoDB, etc. Expertise in designing, developing, and maintaining complex SQL queries and stored procedures. Performance tuning and optimization of data pipelines. Implementing data monitoring solutions. Developing scripts and automation More ❯

data solutions and modern data warehousing principles. Experience leading or heavily contributing to enterprise data programmes and transformations. Confident translating business requirements into scalable, secure technical designs. Strong T-SQL and ELT pipeline development experience. Desirable: Familiarity with Microsoft Fabric, Purview, and Databricks. Experience in regulated industries, especially legal or public sector. Understanding of GDPR, FOI, and data retention/ More ❯

Master’s degree in a Quantitative discipline (preferred) 3–5 years of experience in data analytics, insight generation, and visualization Big data analytics projects in an industry setting Advanced SQL and PySpark development Data transformation and big data pipeline design Python programming fundamentals Familiarity with big data platforms and version control tools Knowledge of financial metrics or payments data (preferred More ❯

Master’s degree in a Quantitative discipline (preferred) 3–5 years of experience in data analytics, insight generation, and visualization Big data analytics projects in an industry setting Advanced SQL and PySpark development Data transformation and big data pipeline design Python programming fundamentals Familiarity with big data platforms and version control tools Knowledge of financial metrics or payments data (preferred More ❯

Strong command of Power Automate, including flow logic, custom connectors, and integration with external services Experience working with REST APIs, OAuth2/Graph authentication, and JSON schema manipulation Advanced SQL capabilities for data modelling, query optimization, and performance tuning Hands-on with Azure Document Intelligence and AI Builder tools Proficient in Power BI, including data modelling, DAX, and deployment pipelines More ❯

fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion More ❯

fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. Passion More ❯

mentoring as a team to increase the team’s skill sites and drive continuous learning Competencies and Behaviours Proficiency in analytical programming language such as python and/or SQL Understanding of relational databases and concepts for querying data Proficiency in tools like Tableau, and/or Power BI Can balance time across multiple projects. Plans ahead working backwards from More ❯

and technical processes such as code reviews and Change Advisory Board meetings. What We're Looking for in You Experience of working as a Data Engineer. Highly proficient in SQL, Python and Spark (pyspark) for developing and testing data engineering pipelines and products to ingest and transform structured and semi-structured data. Understanding of data modelling techniques and data pipeline More ❯

a related discipline) or equivalent experience Preferred Skills and Qualifications : Data Analysis & Visualisation - Strong experience with tools like Power BI, Tableau, or similar for creating insightful reports and dashboards SQL & Databases - Proficiency in writing SQL queries to extract and manipulate data from relational databases Data Processing & ETL - Understanding of data pipelines, ETL processes, and working with structured/unstructured datasets … United Kingdom 1 week ago London, England, United Kingdom 1 day ago London, England, United Kingdom 5 days ago London, England, United Kingdom 1 week ago Data Analyst - Advanced SQL - Data Analysis and Customer Insight London, England, United Kingdom 6 days ago Hammersmith, England, United Kingdom 1 week ago South Croydon, England, United Kingdom 1 month ago Junior Human Data More ❯

scale data systems in production Deep knowledge of ClickHouse performance internals or any other big data platform. Proven expertise in query tuning, cost optimization, and storage design Proficiency in SQL and familiarity with backend coding ( e.g., Go, Python) Strong understanding of cloud infrastructure Real-life experience with real-time analytics Excellent communication skills in English, both written and verbal Self … fostering diversity and inclusion within our organizational fabric. Do you have solid knowledge or hands-on experience with Go or Python? Select... Do you have hands-on experience with SQL? * Select... #J-18808-Ljbffr More ❯

in the future Minimum, UK college level education 3+ years of professional experience in application design and development at an enterprise level. (post-graduate) 2+ years of experience in SQL or NoSQL DB structures, experience with DB migration scripts (SQL Server, MySQL, Mongo) 1+ years of experience working in native Android development with Kotlin, Jetpack libraries e.g. Room, Hilt, Compose More ❯

technical and non-technical audiences. Nice to Have Experience with SAP or Oracle ERP systems – reporting, data extraction, and integration. Understanding of production or material planning workflows. Experience with SQL or Python for data analysis More ❯

/CD and feature flagging, and are always looking to improve delivery of our software through automation, and collaboration with other areas of IT. Backend: C#/.Net/SQL Server/RESTful APIs/Azure Event Hub Tools: LaunchDarkly, Grafana, GitHub Advanced Security, GitHub Copilot, Pluralsight CI/CD: Azure Devops, GitHub Actions Infrastructure: Azure, App Service, Cloudflare, Frontend … mapping (ORM) Commercial track record of ASP.NET Web API for building APIs Experience in a workplace setting with Azure services such as Application Insights, Azure Web Apps, and Azure SQL Database Familiarity creating and managing CI/CD pipelines and source control management using either Azure Devops or GitHub. Desirable: Knowledge of feature flagging tooling like LaunchDarkly Familiarity with Agile More ❯

experience in C#. .NET 5 or higher experience. WEB API (REST) Strong in Object Oriented Programming, Design patterns and SOLID principles. Solid knowledge and experience in some of these: SQL, EF, ADO.NET, Stored procedures, query optimization. Optional Experience with Azure/AWS services. Knowledge of NoSQL technology (MongoDB). Kubernetes – kubectl, deployments, helm charts, Lens and ArgoCD. Experience developing data More ❯

impact of the data on the wider portfolio Overseeing and mentoring the Data Science team What we are seeking Experienced Lead Data Engineer Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (fiveTran, Flink, Spark More ❯

by the business. Job Skills & Experience Required: To succeed in this role, you will need the following: Qualifications: A-Levels or equivalent PC Skills, Excel, PowerPoint & Word Knowledge of SQL and python an advantage Additional foreign language is an advantage Experience: Knowledge and usage of a BI tool (Power BI, Qlik Sense, SAP SAC), Knowledge of data modelling and data More ❯

CI/CD processes with automated data testing Requirements 5+ years of experience in QA or Test Engineering, with a focus on data products or platforms Strong knowledge of SQL and experience with large-scale relational and/or NoSQL databases Experience testing data pipelines (ETL/ELT), preferably with tools like Apache Airflow, dbt, Spark, or similar Proficiency in More ❯

Demonstrable use of UX/UI principles in data visualizations. Proficiency in writing clean, effective, and reusable code. Required Technical Skills: Power BI Google Analytics (GA4) Advanced skills in SQL or Python Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Information Services, Technology, Information and Media, and Data More ❯

with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. They will have strong SQL skills, experience building visual dashboards, and the ability to clearly communicate information to business stakeholders. Key job responsibilities • Strong interest and ability to take complex datasets and boil them down More ❯

will be part of a hands-on, globally distributed group tackling novel R & D problems that directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Join us at the forefront of More ❯

preferably in a financial services firm or hedge fund. Experience designing and deploying disaster recovery and high availability strategies in cloud environments. Strong hands-on skills with NoSQL and SQL databases, programming in Python and data pipeline and analytics tools Familiarity with time series data and common market data sources (Bloomberg, Refinitiv etc.) Familiar with modern Dev Ops practices and More ❯