76 to 100 of 4,058 SQL Jobs in England

in Data Science, Business Analytics, Computer Science or a related field Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) Proficient in SQL , Python , R and visualisation tools (e.g. Power BI) Strong understanding of procurement tech , S2C suites, and supply chain processes Familiar with agile ways of working More ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial More ❯

similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such More ❯

software development, software automation, or equivalent combination of education and experience Familiarity of one or more of the following is required: .Net and C#, SQL, JavaScript, ASP.Net MVC, Java Familiarity with Microsoft Visual Studio and the use of Azure DevOps or Jira would be an advantage Beneficial to have experience More ❯

Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology More ❯

ELT ingestion pipeline with tools like DataStage, Informatica, Matillion, DBT. Understanding of Snowflake roles and user security Understanding of Snowflake capabilities like Snowpipe, etc. SQL scripting Cloud experience on AWS (Azure, GCP are nice to have as well) Python Scripting is a plus Hakkoda is an exciting, high growth company More ❯

deploying and configuring web applications in multiple environments (Apache Tomcat). Database administration (we work with MySQL and MongoDB with occasional Oracle and Microsoft SQL). Knowledge of Java/Node is beneficial. Testing of Infrastructure as Code. Knowledge of Crossplane. Comply365 operates a 24/7 on call rota More ❯

experience designing scalable data platforms in the cloud 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 like Informatica, and scalable data platforms. Experience with Azure Data and Analytics stack; familiarity with AWS More ❯

Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology More ❯

visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such More ❯

Ruby, Go, Swift or similar object-oriented language. Experience with AWS - including but not limited to EC2, S3, RDS, Lambda and CloudFormation Experience of SQL and Windows severs would be beneficial Hands-on experience with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology. Proficient More ❯

compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments More ❯

data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. Have obtained experience in working with large, complex datasets and performance optimization. Exhibit strong leadership and communication skills. Demonstrate previous experience More ❯

Our ideal candidate: Strong experience in Designing and delivering Azure based data platform solutions, technologies including: Azure Data Bricks, Azure Synapse Analytics. Azure MS SQL Managed Service/Azure PostgreSQL. Azure ADF and Data Bricks, Azure Functions, App Service, Logic App, AKS, Azure App Service, Web App. Good knowledge in More ❯

design, and distributed systems. Deep understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (IaC). Familiarity with data architecture, databases (SQL/NoSQL), and big data technologies. Excellent problem-solving and analytical skills. Strong communication, leadership, and interpersonal abilities. Qualifications: Bachelor's or Master's degree More ❯

goals. Desirable Knowledge of Financial Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

software development, ideally including the use of relational databases. Experience with scripting and object-oriented programming languages such as Python, Java, C++/C#, SQL, etc. Ability to troubleshoot complex processes, software issues, and software configuration. Excellent verbal and written communication skills and ability to interact professionally with a diverse More ❯

of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal More ❯

ensuring solutions deliver tangible business outcomes. Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value. Proficiency in SQL and Python/R is essential. Hands-on experience with Databricks and Power BI is desirable. Familiarity with agile methodologies and tools (e.g., Jira, Azure More ❯

across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for More ❯

but not essential (if newly qualified). Excellent academics. Highly analytical mindset. Strong skills in data manipulation and analysis using tools such as Excel, SQL, Python. Experience with BI tools like QuickSight, Tableau, Power BI, or Looker for dashboard creation and data visualisation. Demonstrable commercial or entrepreneurial acumen. Driven and More ❯

using AVEVA Information Standards Manager or similar. IT Skills - Excellent working knowledge of databases and reporting A strong technical background in Oracle 12c, PL\SQL, ETL and data warehousing. Automation of processes using different scripting languages like PowerShell, CMD etc. Self-sufficient and be creative in defining reporting/data More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications Essential Technical and Analytical Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯

pipeline implementation. Experience with API (RESTful/Socket/OpenQL), microservice architecture and development. Experience with cloud-native platform patterns. Technical Skills: Experience with SQL, including schema design and optimisation. Experience with testing frameworks and tools. Knowledge of CI/CD tools. Familiarity with security tools and practices. Experience with More ❯