101 to 125 of 1,608 Remote SQL Jobs

/Junior - Computer Gaming Co - Manchester (Tech stack: Graduate/Junior .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, Graduate/Junior, .NET Developer) Having sold over 100 million games consoles and over 500 million games over the last decade, my client is undoubtedly More ❯

and team-building activities Ongoing training and professional development opportunities The Requirements: Minimum of 4 years' experience in a reporting and analytics role Strong knowledge of relational database languages (SQL) Experience using Microsoft Power BI or similar reporting tools Advanced Excel skills with excellent attention to detail Highly analytical with strong problem-solving abilities Confident communicator with the ability to More ❯

Office Front End Reports Create maintain Transformation Files and Conversion files and Performed Data Loading relates to Master data Attributes or text Hierarchies and Transaction data Knowledge of ABAP SQL and data modeling principles Experience with SAP BPC configuration and usage will be positive Analytical Skills Strong analytical and problem-solving skills with attention to detail Communication Excellent verbal and More ❯

Office Front End Reports Create maintain Transformation Files and Conversion files and Performed Data Loading relates to Master data Attributes or text Hierarchies and Transaction data Knowledge of ABAP SQL and data modeling principles Experience with SAP BPC configuration and usage will be positive Analytical Skills Strong analytical and problem-solving skills with attention to detail Communication Excellent verbal and More ❯

ll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep things secure and efficient. If you enjoy writing clean Python code, working with SQL, and collaborating with analysts and engineers, this could be a great fit. There's also an exciting opportunity to support AI initiatives ,helping to build infrastructure for training, deploying large More ❯

ll also get hands-on with tools like Datadog or CloudWatch to monitor performance and keep things secure and efficient. If you enjoy writing clean Python code, working with SQL, and collaborating with analysts and engineers, this could be a great fit. There's also an exciting opportunity to support AI initiatives ,helping to build infrastructure for training, deploying large More ❯

open-source, intelligence products, etc.) 5 or more years of experience with different types of Malware including detection methods, attack vectors, and vulnerabilities used Experience with query languages (e.g., SQL, KQL, etc.) Experience developing advanced dashboards (e.g., Kibana, Splunk, etc.) Experience with different cybersecurity frameworks and knowledge bases to identify tactics, techniques, and procedures of known actors Preferred Qualifications More ❯

all time Work collaboratively with the Data Science, Reporting and Data Engineering team in maintaining consistent and accurate data. What do we need from you? Experience with either relational SQL or analytics databases, including Postgres, Cassandra and BigQuery Familiarity with cloud-based technologies and deployment infrastructure such as GCP functions, Kubernetes & Terraform/Jenkins, CI/CD Git. Knowledge of More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

business models, metrics, and emerging technologies. Ability to work independently, manage multiple priorities, and thrive in a fast-paced environment. Strong analytical skills with proficiency in Excel; familiarity with SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or More ❯

math) related field or a similar quantitative analytics field. Up to 4 years of professional experience including exposure to data science concepts and computational tools (i.e., Python, Spark (PySpark), SQL, Hadoop, etc.). Professional, internship or project-based experience preferred. Familiarity with varying database structures and experience working with large datasets. Exposure to data visualization technology and capabilities (i.e., Power More ❯

and best practices. ● Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as More ❯

and best practices. ● Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as More ❯

tasks. Profile A successful Data Engineer should have: A strong understanding of data engineering principles and best practices. Strong Power BI skills Proficiency in programming languages such as Python, SQL, or equivalent. Experience with cloud platforms and data storage solutions. Knowledge of ETL tools and processes. Familiarity with data visualisation and analytics tools. A problem-solving mindset and attention to More ❯

services in Microsoft Azure. Especially Synapse, ADF and Power BI (Datasets and Reports). Ideally SSIS, SSRS, SSAS with some understanding of Power App design and delivery Proficient in SQL and Python (PySpark) languages Understanding of data modelling concepts Experience of working with code management & deployment tools Proficient in debugging, monitoring, tuning and troubleshooting BI solutions. Knowledge and a proven More ❯

HTML, CSS (SASS) Experience with JavaScript frameworks (React, Vue, Angular, Node, TypeScript). Strong back-end expertise in C#.NET or Node/Express. Solid understanding of database technologies, both SQL and NoSQL. Experienced in developing accessible, responsive, and cross-browser applications. Confident working with Git and agile project tools such as Jira or Azure DevOps. Previous experience with CMS platforms More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

it: Hybrid role – variety of data analysis, product development, and AI innovation Exposure to multiple industries A highly collaborative, intellectually curious team environment 💡 What you bring: ✅ Deep technical skills – SQL, Python, Power BI (and Excel mastery, of course) ✅ Analytical storytelling – spot the patterns, tell the story, influence decisions ✅ Data Warehousing experience - Comfortable managing data warehouses and reporting processes ✅ Financial Services More ❯

do you need to succeed: 2+ years' experience in software development Degree or equivalent experience in CS, MIS, GIS, or related field Proficiency in JavaScript, .NET, HTML/CSS, SQL, and basic Python Strong problem-solving, communication, and teamwork skills Interest in geospatial tech and public sector solutions Bonus: Experience with ESRI ArcGIS or local government systems Benefits Hybrid working More ❯