1 to 25 of 60 Remote SQL Jobs in Liverpool

degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, R and/or Python or other programming languages relevant to data science; whilst supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for … applications we will shortlist on: Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, R and/or Python or other programming languages relevant to data science; whilst supporting development of coding capability across the team. If you are successful at this stage, you More ❯

days per week, Wigan, Chester, St Helens, Warrington, etc. We'd need to see most of the below, to be considered: - Coding skills in ASP.Net core/C# - SQL dialects: MySQL, MSSQL, PostgreSQL - Familiarity with Redis, ElasticSearch, REST APIs - Experience with Windows-based development: services, tasks, web servers (e.g. IIS). - Magento or other open-source e-commerce platform integration More ❯

days per week, Wigan, Chester, St Helens, Warrington, etc. We'd need to see most of the below, to be considered: - Coding skills in ASP.Net core/C# - SQL dialects: MySQL, MSSQL, PostgreSQL - Familiarity with Redis, ElasticSearch, REST APIs - Experience with Windows-based development: services, tasks, web servers (e.g. IIS). - Magento or other open-source e-commerce platform integration More ❯

change and innovative, we want to hear from you. What will you be doing? As a Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … data storage, and GitHub for version control and collaboration. As a Data Engineer, Your Responsibilities Will Include Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. Develop data models and database schemas that support reporting and analytics needs. Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java … architecture, ETL processes, and database configurations. Qualifications To be successful in this role, you should: Proven experience building data pipelines in Azure Data Factory and Snowflake. Proficiency in MS SQL Server, including T-SQL programming, stored procedures, and functions. Extensive experience with SQL Server Integration Services (SSIS) & Visual Studio and Azure Data Factory (ADF) and GitHub, for ETL development. Experience More ❯

change and innovative, we want to hear from you. What will you be doing? As a Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … data storage, and GitHub for version control and collaboration. As a Data Engineer, your responsibilities will include: Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. Develop data models and database schemas that support reporting and analytics needs. Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java … change and innovative, we want to hear from you. What will you be doing? As a Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. More ❯

degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, R and/or Python or other programming languages relevant to data science; whilst supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for … applications we will shortlist on: Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, R and/or Python or other programming languages relevant to data science; whilst supporting development of coding capability across the team. If you are successful at this stage, you More ❯

text analytics. Strong grasp of data structures, modelling, cleansing, and standardisation. Skilled in communicating insights through visualisations and reports. Experience leading analytics projects and demonstrating business value. Proficient in SQL, R, and/or Python, with experience using Power BI or similar tools. Benefits Overview: Generous Pension : Employer contribution of 28.97%. Annual Leave : 25 days, rising to 30, plus More ❯

with proven leadership skills. Excellent presentation skills. Desirable but Not Essential Understanding of ETL processes. Ability to understand, create and use efficient data models. Knowledge of best practices within SQL, to create efficient code, stored procedures, and views. Good knowledge of Python, and the ability to implement Machine Learning and data science techniques. Experience with Microsoft Fabric. Ready to join More ❯

the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data … required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. 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 ❯

WinTel experience Sound IP troubleshooting skills including DHCP, DNS, IP addressing An understanding of Microsoft cloud based products - Office 365 and Azure in particular Desirable O365 administration and deployment SQL knowledge VEEAM Operating in a geographically dispersed environment An understanding of Microsoft licensing Firewalling (Watchguard/VLAN Experience/router and connectivity troubleshooting) Windows desktop operating systems PC hardware and More ❯

software engineer. Follow industry standard principles (SOLID, clean code). Experience of Azure Cloud. .NET Core/.NET 6+. .NET Framework (version 3.5+) and C#. Web API (RESTful). SQL Server (T-SQL, Stored Procedures). Unit Test Framework (NUnit, MSTest, or xUnit.net, Jasmine/Karma), Integration Testing. Mocking frameworks (e.g. Moq). Source Control, Build and Deployment Tools (Azure More ❯

background in .NET, .NET Core/ASP.NET MVC, C# and Azure SQL. Training will be provided into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, SQL Azure and MongoDB. All positions come with the following benefits: 15% bonus Generous pension Private healthcare Training allowance of £9,700 per year Free lunch Free gym membership Flexible working More ❯

Software Team Lead or Staff Engineer; Lead Engineer considered Experience with Service-oriented architecture Knowledge of backend optimization using MySQL or other data sources Experience with relational databases and SQL, especially MySQL Strong PHP knowledge, understanding its strengths and weaknesses Experience with PHP frameworks: Symfony and Laravel Languages PHP, Ruby on Rails, Java, Python, C# Frameworks & Tools Vue.js, TypeScript/ More ❯

data, pivot tables, vlookups, etc. Able to think creatively, logically and pragmatically It would be beneficial for you to have some of the following: Experience business intelligence applications/SQL reporting such as Crystal Knowledge and experience of Power BI Experience of system upgrades/improvements and Data Migration Experience of training team members on system improvements and reporting/ More ❯

accuracy, seamless integration, and the ability to transform complex data into meaningful insights. Responsibilities: Data Migration: Plan, execute, and manage data migration projects from diverse data sources (Dynamics 365, SQL, Oracle, Excel, etc.) to Microsoft DataVerse. Develop and implement data migration strategies ensuring data integrity, accuracy, and security. Troubleshoot and resolve data migration issues, optimising the process for efficiency. DataVerse More ❯

least five years of experience in low-code application development using the OutSystems platform. Fundamentals in C# and full-stack software engineering. Good knowledge of relational databases, especially Microsoft SQL Server, including database design, SQL queries, views, stored procedures, and functions. Experience in capturing end-user requirements and working closely with business users. Bright, collaborative, and proactive problem solver. Bachelor More ❯

understanding of CI/CD, containerisation, and cloud-native infrastructure. Familiarity with frontend architecture (Angular or similar) and its integration with backend services. Solid grounding in data architecture, both SQL and NoSQL; experience with data warehousing and ADF is advantageous. Comfortable leading architecture across multiple teams in a fast-moving Agile delivery environment. What’s on Offer: High-trust, flexible More ❯

on in everything from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability More ❯

in core data science methodologies, data modelling & statistical analysis; strong proficiency with Python & an ability to colaborate with a wider team are essential. Any prior knowledge of C#, Azure & SQL would be beneficial (not essential). The ideal candidate will have at least 2-3 years' commercial experience in a similar role, but a background in academia (PhD/Research … Associate level) will also be considered. Key Requirements Python as core programming language SQL Data modelling Machine learning Marketing data science Azure (nice to have) NLP (nice to have) The role is hybrid with 2 days a week in the Liverpool city centre office and is paying up to £55,000 (DOE) + benefits. Please note, this isn't a More ❯

objectives. Maintain and optimise systems across multiple platforms. Manage and maintain code repositories in Azure DevOps. Required Skills & Qualifications: Proven experience in commercial software development. Strong proficiency in Angular , SQL , and .NET technologies. Experience with Azure DevOps/Git for source control. A structured, analytical mindset with a keen eye for detail and a methodical approach to testing and debugging. … A proactive and collaborative approach, thriving in a fast-paced environment with multiple stakeholders. Nice-to-Have Skills: Experience developing cloud-based solutions in Azure (Azure SQL, APIs, Logic Apps, Websites, etc.) Knowledge of NoSQL databases, such as MongoDB. Familiarity with Docker for containerisation. Practical experience in deploying and managing applications using Azure Logic Apps. Interacting with Web APIs PowerShell More ❯

A relevant degree in Computer Science, Engineering, or a related field. Tech Environment Python Java AWS (incl. services for AI/ML) LLM APIs and orchestration tools Terraform, Docker SQL-based databases GitHub Actions and version control tools Perks & Benefits Competitive compensation 25 days annual leave + bank holidays Flexible remote work policy "Work from anywhere" option (limited days/ More ❯

5+ years of experience in retail media, adtech, consulting and project management. Tech-Savvy: Strong knowledge of data systems, media tech platforms (DSPs, DMPs, Ad Servers), and reporting tools (SQL, Tableau, Power BI). Consulting Expertise: Ability to understand business challenges and provide actionable solutions to solve bespoke challenges for clients. Project Management: Comfortable leading projects, managing deadlines, and collaborating … and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting: Expertise in building interactive dashboards and reports using tools like Tableau, Power BI, and Pyramid. SQL: Proficient in SQL or similar querying languages for data extraction and analysis. Adtech/Martech: Familiarity with platforms such as DSPs, SSPs, DMPs, Ad-Servers, and CRM systems. Workflow Management More ❯

and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical … in Data Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or More ❯

and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies - including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical … in Data Engineering (open to professionals from various data eng. backgrounds - data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience - formal or More ❯