1,301 to 1,325 of 3,528 Python Jobs in England

engaging with clients, including modifying solutions for complex problems. Experience working in complex, matrixed organizations. Understanding of statistical models (e.g., regression, neural networks). Proficiency in programming languages like Python, R, MATLAB, or Scala. Experience applying data science and modeling to financial use cases, familiarity with open-source tools. Ability to create technical documentation and present to technical and non More ❯

recognition, and regular company events What you'll need: Solid experience in data engineering, management and analysis Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms Exceptional Python/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 More ❯

time on-site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies@searchability.com. For further information please call me on 0161 416 6800/ More ❯

technical and non-technical stakeholders. Desirable 2-5 years' client-facing experience, including requirements gathering and stakeholder management. Ability to embed dashboards and develop client-facing portals. Familiarity with Python and R. Experience with AWS Glue (extraction). Analytical Data Engineer Salary & Benefits Salary: £35,000 - £42,000. Working hours: 9am-5pm flexible Remote working (after onboarding & probation) Holiday Package More ❯

technical and non-technical stakeholders. Desirable 2-5 years' client-facing experience, including requirements gathering and stakeholder management. Ability to embed dashboards and develop client-facing portals. Familiarity with Python and R. Experience with AWS Glue (extraction). Analytical Data Engineer Salary & Benefits Salary: £35,000 - £42,000. Working hours: 9am-5pm flexible Remote working (after onboarding & probation) Holiday Package More ❯

time on-site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies@searchability.com. For further information please call me on 0161 416 6800/ More ❯

deadlines, whilst remaining focused and professional under pressure. Awareness of current trends, ethical considerations, and the benefits and challenges of AI and automation in software engineering. Experience developing with Python and integrating AI tools or techniques into software development would be desirable. What you will do Developing efficient, robust, and scalable code for new and existing applications and services. Designing More ❯

qualification and/or extensive Data Development experience in a commercial or Agile environment. To be successful in this role its essential that you will: Have experience of SQL, Python, AWS, Git and PySpark Desirable experience needed will be: SISS or SAS experience Quality Assurance and Test Automation experience Experience of Database technologies Experience in Financial Services organisation About us More ❯

Good experience with automation around Networking & Security devices Minimum 5 years' experience in a DevOps/Automation role Good experience with Automation Frameworks specifically Ginger Solid Development Skills (Bash, Python) Solid Development Skills in developing and consuming RESTful services. Understanding the build life cycle of an application through to deployment. Solid understanding of general cloud based services, IaaS, PaaS, SaaS. More ❯

Good experience with automation around Networking & Security devices Minimum 5 years' experience in a DevOps/Automation role Good experience with Automation Frameworks specifically Ginger Solid Development Skills (Bash, Python) Solid Development Skills in developing and consuming RESTful services. Understanding the build life cycle of an application through to deployment. Solid understanding of general cloud based services, IaaS, PaaS, SaaS. More ❯

problem-solving and analytical skills. Attention to detail and ability to follow instructions. #Amazon #Connect #Engineer #AWS #AmazonConnect #Python #Javascript Additional Skills & Qualifications Experince with scripting languages such as Python and JavaScript. Experince with performance and load testing of managed services. #Amazon #Connect #Engineer #AWS #AmazonConnect #Python #Javascript Work Environment The role involves working with advanced AWS technologies, focusing on More ❯

Good experience with automation around Networking & Security devices Minimum 5 years' experience in a DevOps/Automation role Good experience with Automation Frameworks specifically Ginger Solid Development Skills (Bash, Python) Solid Development Skills in developing and consuming RESTful services. Understanding the build life cycle of an application through to deployment. Solid understanding of general cloud based services, IaaS, PaaS, SaaS. More ❯

Good experience with automation around Networking & Security devices Minimum 5 years' experience in a DevOps/Automation role Good experience with Automation Frameworks specifically Ginger Solid Development Skills (Bash, Python) Solid Development Skills in developing and consuming RESTful services. Understanding the build life cycle of an application through to deployment. Solid understanding of general cloud based services, IaaS, PaaS, SaaS. More ❯

Good experience with automation around Networking & Security devices Minimum 5 years' experience in a DevOps/Automation role Good experience with Automation Frameworks specifically Ginger Solid Development Skills (Bash, Python) Solid Development Skills in developing and consuming RESTful services. Understanding the build life cycle of an application through to deployment. Solid understanding of general cloud based services, IaaS, PaaS, SaaS. More ❯

cloud-native microservices-based applications. Collaborate in Agile teams, employing CI/CD processes and DevSecOps methodologies. Utilize your Unix/Linux expertise and scripting skills in Bash or Python to enhance system performance. Communicate technical designs and concepts clearly, supporting platform development and shaping our technical environment. Exhibit ownership of assigned projects and tasks, ensuring timely and thorough completion. More ❯

and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes environments * Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies More ❯

practice. Proactively and continuously improve processes, systems and documentation. About You ✨Skill/competency A high level of numeracy with a good eye for detail. Experience with SQL or python on large datasets would be beneficial. Experience with BI Reporting using tools such as Looker or PowerBI would be beneficial. Strong communication and organisational skills. A detailed and logical thinker More ❯

strong problem-solving skills are vital. The ability to communicate technical concepts clearly to non-technical stakeholders is also important. Experience with orchestration tools such as Airflow, knowledge of Python or other scripting languages, and familiarity with data governance and security best practices are desirable. Exposure to agile development environments, performance tuning of data queries, and advanced Tableau capabilities (e.g. More ❯

knowledge of telecom networks, technologies, and standards, e.g. TMF/Tosca/MEF. You will need to evidence skills and experience across Netconf, API's, XML, JSON, Jinja 2, Python, JavaScript, Cisco NSO, Ansible, Net Miko, Docker and Workflow automation using Itential IAP, Appian, Resolve. You will be familiar with Redhat Microservices. You will have an understanding of Artificial Intelligence More ❯

practice. Proactively and continuously improve processes, systems and documentation. About You ✨Skill/competency A high level of numeracy with a good eye for detail. Experience with SQL or python on large datasets would be beneficial. Experience with BI Reporting using tools such as Looker or PowerBI would be beneficial. Strong communication and organisational skills. A detailed and logical thinker More ❯

privacy laws (GDPR, CCPA, HIPAA) and secure data handling practices Ideally have experience integrating Workday with major third-party systems (e.g.,Safeguard, Oracle) Ideally have background in scripting (Java, Python, or similar languages) for enhanced automation and customization Working hours are Monday to Friday 9am to 6pm. Benefits include Private healthcare, 25 days holiday, excellent pension contribution, wellbeing allowance, share More ❯

industry is a significant plus Technical skills Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Proficiency in a statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in data analysis or mathematical model development, with a strong understanding of statistics concepts such as multivariate More ❯

learning models that increase retention rates by 75% so that cyber apprentices can prepare for real-world challenges Tools and technologies learned: Apprentices will learn to use Project Ares, Python, Microsoft Azure, Microsoft PowerShell, Linux and AWS. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard Cyber security technologist More ❯

trading, smart order routing). Understanding of interest rate derivatives (swaps, futures). Familiarity with automation testing (advantageous). Strong knowledge of SDLC in Agile environments. Technical skills: SQL, Python, JavaScript, APIs, data reconciliation. Experience with Microsoft Office tools (Word, Excel, PowerPoint, Outlook). Strong documentation, bug reporting, and prioritisation skills. Excellent problem-solving, communication, and stakeholder management skills. Personal More ❯

Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to More ❯