1,176 to 1,200 of 3,277 Remote SQL Jobs

ASP.NET MVC, C# and Azure SQL. Our client can provide you with industry recognised training in: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and MongoDB. This is an exciting opportunity to work on complex enterprise level .NET/C# software development projects. Our client offers a structured career progression programme, industry recognized training More ❯

/ASP.NET MVC, C# and Azure SQL. Our client can provide you with industry recognised training in: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, SQL Azure and MongoDB. This is an exciting opportunity to work on complex enterprise level .NET/C# software development projects. Our client offers a structured career progression programme, industry recognized More ❯

ASP.NET MVC, C# and Azure SQL. Our client can provide you with industry recognised training in: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD, Azure SQL and Mongo DB. This is an exciting opportunity to work on complex enterprise level .NET/C# software development projects. Our client offers a structured career progression programme, industry recognized More ❯

data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience: Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to AI/ML environments , including data preparation More ❯

be nice if you have the following experience: You have a Bachelor's degree or level; You know Java like no other (we currently use version 17); Experience with SQL, Tomcat, and Spring Boot; Experience with Docker or Kubernetes. A big plus if you also have experience with React, JavaScript and JSP. You are also: Results-oriented; Have a good More ❯

data-led recommendations to optimise channel mix, creative performance, and audience targeting. Partner with marketing and product teams to embed analytics into campaign planning and decision-making. Write efficient SQL to analyse large marketing and behavioural datasets. Support forecasting and budgeting with scenario modelling and performance projections. Collaborate with BI, CRM, and product teams to deliver cross-channel measurement solutions. … Location: This is a hybrid role based in London , with the requirement to be in the office at least two days per week. Key Requirements About You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp More ❯

track record of taking ML projects from conception to deployment in a cloud environment (AWS preferred). Strong proficiency in Python for data science (Pandas, NumPy, Scikit-learn) and SQL (PostgreSQL is a plus). Hands-on experience with the full data lifecycle: data ingestion (e.g., web-scraping with BeautifulSoup, Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable More ❯

track record of taking ML projects from conception to deployment in a cloud environment (AWS preferred). Strong proficiency in Python for data science (Pandas, NumPy, Scikit-learn) and SQL (PostgreSQL is a plus). Hands-on experience with the full data lifecycle: data ingestion (e.g., web-scraping with BeautifulSoup, Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable More ❯

track record of taking ML projects from conception to deployment in a cloud environment (AWS preferred). Strong proficiency in Python for data science (Pandas, NumPy, Scikit-learn) and SQL (PostgreSQL is a plus). Hands-on experience with the full data lifecycle: data ingestion (e.g., web-scraping with BeautifulSoup, Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable More ❯

Education: BSc or MSc in Data Science, Analytics, Information Systems, or Life Sciences with a data focus (or similar). Technical Skills: Familiarity with tools like Excel, Power BI, SQL, or Python. Experience with Master Data and data quality tools is a plus. Collaborative Communicator: Strong communication and teamwork skills are essential. What You'll Gain Exposure to real-world More ❯

event management) solution for monitoring and security compliance. High Availability & Failover Management: Monitor, maintain and orchestrate manual failover and failback procedures to maintain uptime. Automation & Scripting: Develop scripts using SQL, Bash, or Python to automate database maintenance and monitoring tasks. Documentation & Knowledge Sharing: Maintain database build and upgrade documentation, ensuring accuracy and accessibility for the team. Testing & Validation Support: Assist … of test scripts for database validation and performance assessment. You will have: Proven experience as a Database Administrator (DBA) Expertise in MariaDB or other relational databases (MySQL, Oracle, or SQL Server). Experience with backup and disaster recovery strategies for databases. Knowledge of database tuning, indexing, and query optimization. Understanding of networking protocols relevant to databases (TCP/IP, DNS More ❯

a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and More ❯

a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and More ❯

a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

What we’re looking for: 4+ years’ experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions — Azure preferred. Understanding of modern development best practices, including agile More ❯

learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models More ❯

learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

to AI and ML: Some exposure to AI and machine learning concepts, such as basic understanding of supervised and unsupervised learning. Database and Backend Basics: Basic understanding of databases (SQL or NoSQL) and exposure to backend technologies like Node.js or Python. Willingness to learn and contribute to backend development tasks. Problem-Solving Skills: Ability to approach problems analytically and propose More ❯