10 of 10 PySpark Jobs in Glasgow

services, and scripting and automation using common libraries and frameworks relevant to the role Experience with data engineering and analytics platforms such as PySpark, Databricks, Airflow, or similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle ...

taking ownership of data products or deliveries, breaking down work and managing priorities across projects. A strong understanding of CI/CD processes, SQL, pySpark and experience of modern enterprise cloud-based data environments including Azure and Databricks. Sufficient technical understanding to guide engineers and translate delivery requirements into ...

/GCP Exposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologies Exposure to cloud technologies Experience with ReactJS front-end development ...

adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience supporting data processing and integration work using Python and/or PySpark, such as batch jobs, reconciliation pipelines, or platform integrations Experience with data engineering and orchestration tooling such as Databricks and Airflow or similar platforms Exposure ...

IR35 for initially 6 months. Hybrid to Glasgow (2 days a week in the office) £450 - £525 a day Technology: Python & SQL development (ideally PySpark) Databricks or similar cloud platforms Git, CI/CD, Azure DevOps (ideal) or GitHub Optimiser apps & battery storage systems (optional) Software quality assurance Unit ...

continuous integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence, machine learning, mobile, etc.) Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding ...

deploying machine learning models in production, alongside strong hands‐on Python skills. You should be comfortable with distributed computing tools such as Spark or PySpark, cloud platforms and modern MLOps practices. Experience managing and developing data scientists is essential, as is the ability to explain technical decisions and work ...

deploying machine learning models in production, alongside strong hands-on Python skills. You should be comfortable with distributed computing tools such as Spark or PySpark, cloud platforms and modern MLOps practices. Experience managing and developing data scientists is essential, as is the ability to explain technical decisions and work ...

contribute across the length and breadth of a project Proficiency in one or more of the following: Java/Spring Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge … financial services industry and their IT systems Preferred qualifications, capabilities, and skills Experience with high-volume batch and real-time data processing using PySpark or similar frameworks, including performance tuning and troubleshooting of large-scale data pipelines In-depth knowledge of relational and distributed databases (e.g., Oracle, Databricks) with ...

Job Description Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems ...