126 to 150 of 1,328 Remote/Hybrid SQL Jobs

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability. Database Expertise: Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge ...

Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding ...

Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding ...

Process Managers in maintaining financial control frameworks, including Sarbanes-Oxley compliance. What You'll Have: Strong hands-on experience with Power BI. Proficiency in SQL and a solid understanding of data modelling. Experience in producing accurate and timely financial/management reporting. High attention to detail with the ability ...

must bring strong, commercial data engineering experience, including: Hands-on experience building and operating cloud-based data platforms in production Strong programming skills (Python, SQL and/or Spark-based frameworks) ETL/ELT pipeline design at scale Experience with modern data orchestration and workflow tools Infrastructure as Code (e.g. ...

Document processes, standards, and training materials for ongoing use. Stay current with Metabase updates and BI trends, proactively recommending improvements. You will have: Strong SQL skills (essential). Proven experience in rolling out Metabase across an organisation Ability to act as a trainer/mentor, upskilling colleagues in BI tools. ...

work with the team to deliver Tech Competency Significant commercial experience developing services and APIs with C#, .NET core, Mongo and/or SQL with techniques such as domain-driven design and MVC. Strong technical background in web development with Angular/React/VueJs. Experience in developing HTTP-based ...