26 to 50 of 2,637 SQL Jobs in England

gather/refine requirements Management of solutions through the application lifecycle Qualifications Essential Demonstrated project experience developing solutions using Microsoft stack (.NET Framework, C#, SQL) and SPFx Experience working with testing strategies and tools for SharePoint solutions Experience with PowerShell and PnP PowerShell Experience with Agile methodologies and working in more »

A Senior Full Stack Developer with a robust background in C# and substantial experience with .Net frameworks, including .Net Framework, .Net 8, Blazor, MS SQL, and Entity Framework. Proficiency in Azure DevOps, especially in managing CI/CD pipelines,. If you're passionate about software development and eager to more »

drive business growth and innovation. Deep understanding of data governance principles, regulatory compliance requirements, and industry best practices. Strong technical proficiency in data modeling, SQL, ETL tools, data visualization tools, and advanced analytics techniques (e.g., machine learning, predictive modeling). Excellent leadership, communication, and interpersonal skills, with the ability to more »

OS build, AD, DNS, DHCP and GP from design to implementation and support; Have good general knowledge of Microsoft Stack technologies such as MS SQL, MS System Centre, Office365, MS Exchange & CLI tooling such as PowerShell; Have general knowledge of Linux operating systems and their maintenance; Have excellent analysis and more »

direction and evaluate the benefit of new technologies Ability to maintain delivery momentum We’d Love If You Also Have These: Highly proficient in SQL Experience using Python based ETL tools such as Databricks Experience using Data Ingestion tools such as FiveTran or Stitch Experience using Business Intelligence tools such more »

such as Power BI, Tableau, Alteryx etc Experience with virtual team collaboration applications (ex. MS Teams, Google Meet, Mural, Asana, Jamboard etc.) Knowledge of SQL and Python would be an asset Teamwork and collaboration with internal and external teams Good communication skills (both written and oral) Experience in instructional design more »

data modeling and visualization development. 4. Strong understanding of data warehousing concepts, data modeling techniques, and SQL. 5. Experience working with relational databases (e.g., SQL Server, Oracle, MySQL) and data warehousing technologies. 6. Familiarity with data visualization best practices and principles. 7. Excellent analytical and problem-solving skills. 8. Strong more »

and improvement. Requirements: demonstratable experience in Data Analytics, with experience leading a team of at least 5/6 members. with the likes of SQL, SQL Server, Postgres, Oracle tools like Qliksense & Power BI languages – Python & R platforms (beneficial) managing senior stakeholders and end-to-end projects or ArcGIS (beneficial more »

environment. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of platform software development experience in .NET, C#, SQL Proven experience (10 years) as a Front End Developer with a focus on creating dynamic, responsive web applications. Expertise in HTML, CSS, JavaScript, and from more »

HTML, JavaScript and web development frameworks (Bootstrap, JQuery, Blazor) AWS, Azure cloud platforms including Azure DevOps. A real-world understanding of MSSQL, PL/SQL or others Database design REST API design Why work for us At Balfour Beatty we are committed to creating a diverse workforce and an inclusive more »

of development within Microsoft technologies including but not limited to .NET Core, (Core) MVC, LINQ, Entity Framework, Windows Console/Service Applications Awareness of SQL and Database Design Awareness or knowledge and experience of other web languages and technologies including JavaScript, HTML5, CSS, Awareness of Web APIs Ability to manage more »

A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments Experience with analytical or database querying software such as SQL and Python along with cloud technology such as AWS and Snowflake Experience with data visualisation tools such as Tableau and PowerBI The ability to identify more »

large volumes of data in real-time to make predictive trading decisions based on multiple variables. Expertise in managing and manipulating large datasets, using SQL databases and potentially NoSQL databases. Knowledge of data warehousing, data mining, and data integration techniques to ensure that data is accessible and reliable. Understanding of more »

data modeling and visualization development. 4. Strong understanding of data warehousing concepts, data modeling techniques, and SQL. 5. Experience working with relational databases (e.g., SQL Server, Oracle, MySQL) and data warehousing technologies. 6. Familiarity with data visualization best practices and principles. 7. Excellent analytical and problem-solving skills. 8. Strong more »

good software design - SOLID principles, design patterns, domain-driven design, clean architecture and how to design good microservices interfaces. Demonstrate data skills - knowledge of SQL, data structures and data processing. Anunderstanding of how to design and structure performant and reliable relational databases Knowledge of how to build exceptionally performant, scalable more »

related issues. Essential - Willingness to learn different programming languages and paradigms Desirable - Experience with C# and Microsoft .Net framework Desirable – Experience of relational databases (SQL) Desirable – Experience of flat file databases (ISAMS) Desirable – Knowledge of Jira Desirable - Experience with application-based and web-based technologies Suitable for someone who… Is more »

analysts, fostering innovation and best practices within the team. A bit about you: Minimum 6 years of experience as a Data Analyst. Proficiency in SQL and Python. Experience with advanced analytics techniques, including modeling and segmentation. Strong visualisation skills, particularly with Tableau. Familiarity with cloud-based data pipeline architectures, such more »

analysts, fostering innovation and best practices within the team. A bit about you: Minimum 6 years of experience as a Data Analyst. Proficiency in SQL and Python. Experience with advanced analytics techniques, including modeling and segmentation. Strong visualisation skills, particularly with Tableau. Familiarity with cloud-based data pipeline architectures, such more »

paced and cutting edge team. Ideally we are looking for someone with front office trading systems & financial market data experience. Technical skillset required: Python SQL Kubernetes CI/CD experience with relevant tooling with Jenkins, Docker or Terraform Cloud services experience with AWS/Azure Ideally: Airflow Java Experience working more »

as manage the infrastructure and deployments Core Requirements: Excellent Python and Rust development skills (rust negotiable for the more junior hire) Strong experience with SQL Previous experience of financial services Passion for building scalable, robust and modern software Excellent communication and teamwork skills Sharp analytical mind (degree in math, physics more »

solutions and products in Azure with advanced data pipelines. Proven experience in designing, developing, and deploying solutions based on Azure Integration services. Knowledge of SQL and data processing languages. Evidence of working with Agile/Scrum methodology. Excellent communication and problem-solving skills, with the ability to influence internal and more »

/Insight/Research) Strong analytical skills and experience of working with large, complex data sets Full proficiency with Excel and PowerPoint Experience with SQL and data visualization tools spoken and written English detail-oriented with strong problem-solving skills to be a quick learner, with a taste for discovering more »

with big data and combining data from multiple sources will be highly advantageous and advanced Excel and data modelling along with experience using Access, SQL and Power BI is a pre-requisite. The successful candidate must demonstrate strong business acumen and commercial skills, along with the ability to work and more »

data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »

Several years of demonstrated commercial experience as a Data Engineer or similar role within large-scale environments dealing with large data sets. Expertise in SQL & dbt. Significant Python coding skills Containerisation experience (Dockers, Kubernetes) Cloud Computing experience ( GCP/AWS/Azure ) Strong preference for a Snowflake background Knowledgeable working more »