901 to 925 of 14,444 SQL Jobs in England

alongside commercial teams. 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. Strong data analysis skills with advanced Excel expertise. Proven experience with SQL and Python. Ability to translate large datasets into actionable insights. Strong communication skills, with the ability to present data-driven findings to senior stakeholders. Proficiency in creating impactful presentations in More ❯

Looking For Proficiency in Java and Spring Boot Experience deploying solutions into cloud environments (preferably AWS) Understanding of microservices, event-driven design, and cloud-native architecture Strong grasp of SQL and NoSQL databases Solid experience with CI/CD pipelines and DevOps tools Consulting mindset with strong communication and problem-solving skills Bonus Points For Terraform, CloudFormation, or other infrastructure 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 ❯

in data engineering, analytics, or data architecture, with experience leading & mentoring others. Strong understanding of Microsoft Azure (Data Lakes, Blob Storage), Databricks, and modern data stack tooling. Proficiency in SQL and Python for data manipulation and transformation. Familiarity with data visualisation tools such as power BI. Strong interpersonal and leadership skills — able to align people, process, and platform. High attention More ❯

a plus/• Working knowledge of CRM's interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

Knowledge of the wider Microsoft Azure platform and PAAS environment Experience working with API endpoints and data mapping Working knowledge of scripting (either Python, .Net, C# or JavaScript) and SQL Experience of Waterfall and Agile delivery methodologies as well as the use of SCRUM framework The ability to communicate with, influence and manage stakeholders expectations. Ability to translate requirements into More ❯

Proficiency in Microsoft Office Suite and the ability to work in a collaborative environment Experience with Salesforce, Jira, ITSM, and Confluence is a plus Nice to have Knowledge of SQL and level 3 dev support Experience with a Fintech support, BPO, or similar role within Private debt Experience with SDLC and agile methodologies Perform duties as an analytical extrovert Ability 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 ❯

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 ❯

Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices is a plus. Ability to 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 ❯

data science setting. Experience with Python frameworks such as Django or Flask. Familiarity with DevOps practices and infrastructure preparation. Knowledge of Agile project methodologies. Proficiency with relational databases (e.g., SQL, Oracle). Defence industry experience. Competence in BI tools such as PowerBI or Tableau. Familiarity with version control (e.g., Git) and CI/CD development practices. Rewards and Benefits: Our More ❯

best practices. Experience in supporting ETLs or data pipelines crucial to a production system. Experience working in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps practices and the associated benefits. More ❯

commercial experience with Azure Minimum of 5 years’ experience as Azure DevOps Engineer Proven experience with Azure DevOps (ADO) A deep understanding of Azure PaaS components. Key areas: Azure SQL and MI (Managed Instance) Data Factory Databricks Power BI Data Lake Fabric AKS (deployment + management) API Management App Services Functions Networking App Insights Solid understanding of: Terraform HELM charts More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯

warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly You have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to work in a fast growing fintech revolutionizing investment reporting Hybrid style More ❯

bring 3-4 years of experience in data engineering. Understanding of data warehousing principles, concepts, and best practices (e.g., ODS, data marts, data lakes, data vault, 3NF). Advanced SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse More ❯

Data Marts Develop Native Databases Improve Data Literacy What are the qualities that can help you thrive as a Data Engineer? Essential Experience And Qualifications Experience and knowledge in SQL databases Strong experience in Data movement methodologies and standards, ELT & ETL A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to More ❯

looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience More ❯

raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and More ❯

contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: e.g. JavaScript/TypeScript, React, Dash, or similar More ❯