1,451 to 1,475 of 3,190 Remote SQL Jobs

a DevOps or Cloud Engineering role (3+ years for Mid-Level, 5+ years for Senior). Strong hands-on experience with Microsoft Azure (AKS, App Services, Azure Functions, Azure SQL, Storage, etc.). Solid knowledge of CI/CD pipelines and automation tools (Azure DevOps, GitHub Actions, or Jenkins). Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates More ❯

AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. A "builder" and "leader" mindset: You have experience taking an organisation on a data transformation journey, not just maintaining an existing system. A More ❯

AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. A "builder" and "leader" mindset: You have experience taking an organisation on a data transformation journey, not just maintaining an existing system. A More ❯

AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. A "builder" and "leader" mindset: You have experience taking an organisation on a data transformation journey, not just maintaining an existing system. A More ❯

Computer Science) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of ML packages and frameworks Skilful in writing well-engineered code using Spark, and advanced SQL and Python coding skills Experienced in working with Azure Databricks Proven experience working with Data Scientists to deliver best in-class solutions for model deployment and monitoring Great technical and More ❯

using numerical models and solving optimisation problems Tableau Certified Use of cloud-based data tooling e.g. AWS S3, Snowflake Working knowledge of Spanish Use of specific analytical tools: Tableau, SQL, Python, Business Objects If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral More ❯

identify the following criteria in your application: Degree level education in a business/analytical/mathematics subject (or relevant experience) Must have a high level working knowledge of SQL & Excel, Google Sheets Knowledge of PowerBI and GIS an advantage but training can be given High problem solving ability. What's next? Apply today, so we can make a difference More ❯

years of experience in a Data Architect or similar senior data role. Strong knowledge of data modeling, data warehousing, ETL/ELT design, and database technologies (e.g., Snowflake, Azure, SQL, Databricks). Proven experience working in complex data environments, ideally in the energy or industrial sector. Familiarity with data governance frameworks, metadata management, and master data management. Excellent communication and More ❯

years experience of development in a fast paced commercial environment. Ideally with a small fast growing company. Full working knowledge of C#, .NET, MVC, HTML, CSS, XML, SQL, API’s and other web application-related protocols/languages. OAuth2 and experience dealing with other API integration protocols is highly beneficial. Entity Framework experience is also highly beneficial. Knowledge on Azure More ❯

framework or Jax-RS, Jax-WS, JPA Knowledge of selected front end technologies (HTML, JavaScript, CSS) Rest, Hibernate, Docker, Terraform, GitHub, Jenkins, development and deployment in a cloud environment SQL TDD/BDD Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) Experience in unit testing frameworks (Karma, Jasmine or others) Package and Benefits: Competitive salary, dependent More ❯

framework or Jax-RS, Jax-WS, JPA Knowledge of selected front end technologies (HTML, JavaScript, CSS) Rest, Hibernate, Docker, Terraform, GitHub, Jenkins, development and deployment in a cloud environment SQL TDD/BDD Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) Experience in unit testing frameworks (Karma, Jasmine or others) Package and Benefits: Competitive salary, dependent More ❯

framework or Jax-RS, Jax-WS, JPA Knowledge of selected front end technologies (HTML, JavaScript, CSS) Rest, Hibernate, Docker, Terraform, GitHub, Jenkins, development and deployment in a cloud environment SQL TDD/BDD Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) Experience in unit testing frameworks (Karma, Jasmine or others) Package and Benefits: Competitive salary, dependent More ❯

eye for detail. Strong problem-solving, critical thinking, and communication skills; able to explain technical concepts to non-technical audiences. Knowledge of analytical tools and languages such as Tableau, SQL, VBA and Microsoft suite. Experience with data governance, data quality, and documentation practices. Experience in a regulated industry, automotive industry or financial services What will you bring to the global More ❯

AWS and/or Azure Desirable : Azure/EntraID/M365 operations AWS native operational management Site Recovery Manager VMware Cloud Director Aria Automation (blueprint creation and maintenance) Microsoft SQL operational experience (such as release and manage database deadlocks, backup jobs, manage database instance sizing, and perform backup and restoration activities) Experience with Jenkins – pipeline design and execution Competency in More ❯

working with data analytics on large datasets, ideally within financial Markets. Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues. Very strong SQL and Tableau skills required. Python or other programming a plus. Strong analytical and mathematical skills. Methodical attention to detail. Demonstrable team skills both within and across teams. Ability to pick More ❯

plans Supports creation of rollout plans in conjunction with test regions and third parties as required About You Experience working within Supply Chain. Coding experience and analytical work in SQL and Python. Strong Excel skills. Strong commercial acumen. Problem solving skills for identifying supply chain issues and creating automated solutions. Evidence of root cause analysis, process improvement and driving decisions. More ❯

its Products. Maintaining continuity whilst navigating the LBG data transition from GDW to GCP. About you Demonstrable years' experience in Data Science or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with A/B testing or experimental More ❯

eye for detail. Strong problem-solving, critical thinking, and communication skills; able to explain technical concepts to non-technical audiences. Knowledge of analytical tools and languages such as Tableau, SQL, VBA and Microsoft suite. Experience with data governance, data quality, and documentation practices. Experience in a regulated industry, automotive industry or financial services What will you bring to the global More ❯

AWS and/or Azure Desirable: Azure/EntraID/M365 operations AWS native operational management Site Recovery Manager VMware Cloud Director Aria Automation (blueprint creation and maintenance) Microsoft SQL operational experience (such as release and manage database deadlocks, backup jobs, manage database instance sizing, and perform backup and restoration activities) Experience with Jenkins – pipeline design and execution Competency in More ❯

and ideas submitted by team members. Basic Quali fi ca ti ons: 5+ years of Oracle CPQ development experience is required 3 + years experience with the following languages: SQL, Java or C#, JavaScript, JQuery, XML/XSL, BML. 3+ years of understanding efficient business processes within Configure, Price, Quote (CPQ) domain preferable. Preferred Skills: Experience with commerce flows within More ❯

and ideas submitted by team members. Basic Quali fi ca ti ons: 5+ years of Oracle CPQ development experience is required 3 + years experience with the following languages: SQL, Java or C#, JavaScript, JQuery, XML/XSL, BML. 3+ years of understanding efficient business processes within Configure, Price, Quote (CPQ) domain preferable. Preferred Skills: Experience with commerce flows within More ❯

less technical audiences. Experience managing stakeholders at all levels. Educated to degree level or higher, preferably in a numerical field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI More ❯

the traditional data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures More ❯

the traditional data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures More ❯

the traditional data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures More ❯