851 to 875 of 3,357 Microsoft-Azure Jobs in London

and problem-solving skills, with a focus on cloud-based data solutions. Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory). Excellent communication and teamwork abilities, especially in remote and distributed teams. More ❯

Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google Cloud) Security and Compliance API Documentation (e.g.... More ❯

tech stack in a fast-paced environment. Key Responsibilities Implement and maintain security controls across low-latency systems and multi-cloud platforms (AWS, Azure, Alibaba Cloud) Collaborate with engineering teams to integrate secure coding practices into the SDLC Conduct threat modeling, vulnerability assessments, and code reviews Automate security More ❯

speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

tech stack in a fast-paced environment. Key Responsibilities Implement and maintain security controls across low-latency systems and multi-cloud platforms (AWS, Azure, Alibaba Cloud) Collaborate with engineering teams to integrate secure coding practices into the SDLC Conduct threat modeling, vulnerability assessments, and code reviews Automate security More ❯

methodologies Excellent communication and stakeholder management skills Ability to quickly adapt to new technologies and environment Desirable: Experience with cloud platforms (AWS or Azure) Technical leadership and mentoring experience If you are interested please email your CV to megan.seymour@stottandmay.com for immediate consideration More ❯

methodologies Excellent communication and stakeholder management skills Ability to quickly adapt to new technologies and environment Desirable: Experience with cloud platforms (AWS or Azure) Technical leadership and mentoring experience If you are interested please email your CV to megan.seymour@stottandmay.com for immediate consideration More ❯

Opportunity to work heavily on automation Take ownership of projects and run with ideas from inception to execution Tech Stack Includes: Cloud: AWS, Azure IaC: Terraform Languages: Python, Rust Databases: Postgres, Clickhouse Ideal Candidate Will Have: A strong analytical background (maths, physics, computer science, etc.) Solid programming skills More ❯

Financial Services, or Oil & Gas Familiarity with data visualization tools (Power BI/Tableau - nice to have) Proficient in Agile methodologies, JIRA/Azure DevOps Understanding of software development lifecycle (SDLC) What You'll Do Drive delivery of data products across various workstreams Translate business needs into technical More ❯

methodologies Excellent communication and stakeholder management skills Ability to quickly adapt to new technologies and environment Desirable: Experience with cloud platforms (AWS or Azure) Technical leadership and mentoring experience If you are interested please email your CV to megan.seymour@stottandmay.com for immediate consideration More ❯

methodologies Excellent communication and stakeholder management skills Ability to quickly adapt to new technologies and environment Desirable: Experience with cloud platforms (AWS or Azure) Technical leadership and mentoring experience If you are interested please email your CV to megan.seymour@stottandmay.com for immediate consideration More ❯

Opportunity to work heavily on automation Take ownership of projects and run with ideas from inception to execution Tech Stack Includes: Cloud: AWS, Azure IaC: Terraform Languages: Python, Rust Databases: Postgres, Clickhouse Ideal Candidate Will Have: A strong analytical background (maths, physics, computer science, etc.) Solid programming skills More ❯

years of experience in Java or Python (bonus: C++) Solid knowledge of SQL Server or Postgres Familiarity with cloud services (AWS, GCP, Azure) Strong command of Git and collaborative development tools Excellent problem-solving skills and a curious mindset Clear communication and a team-first attitude More ❯

the infrastructure evolution and needs To be considered: Experience as a Software Engineer or similar role working with large-scale infrastructure systems AWS, Azure or Google Cloud Containerisation technologies such as Docker or Kubernetes Excellent scripting and automation skills Knowledge/Understanding of: Scripting (Python, Ansible, Bash, Linux More ❯

one or more products. Data Engineers should have the following essential skills: Typical Data Engineering Experience required (3+ yrs): Strong knowledge and experience: Azure Data Factory and Synapse data solution provision Power BI Python PySpark (Preference will be given to those who hold relevant certifications) Proficient in SQL. More ❯

years of experience in Java or Python (bonus: C++) Solid knowledge of SQL Server or Postgres Familiarity with cloud services (AWS, GCP, Azure) Strong command of Git and collaborative development tools Excellent problem-solving skills and a curious mindset Clear communication and a team-first attitude More ❯

the infrastructure evolution and needs To be considered: Experience as a Software Engineer or similar role working with large-scale infrastructure systems AWS, Azure or Google Cloud Containerisation technologies such as Docker or Kubernetes Excellent scripting and automation skills Knowledge/Understanding of: Scripting (Python, Ansible, Bash, Linux More ❯

regulated environments. Hands on knowledge of securing developer endpoints Experience designing secure architectures for CI/CD and DevOps pipelines (ie Github, Gitlab, Azure DevOps, Jenkins). Understanding of End point Detection and Response (EDR), SIEM, MDM, & policy enforcement tools. Familiarity with NCSC Cloud Security Principles, and Government More ❯

supporting agile delivery and requirements. Experience with system developments, data analytics, and data transformation . Familiarity with Agile projects and tools such as Azure DevOps . Demonstrable experience using use cases, UML, and user stories . Strong analytical, facilitation, and communication skills with stakeholders at all levels. Insurance More ❯

regulated environments. Hands on knowledge of securing developer endpoints Experience designing secure architectures for CI/CD and DevOps pipelines (ie Github, Gitlab, Azure DevOps, Jenkins). Understanding of End point Detection and Response (EDR), SIEM, MDM, & policy enforcement tools. Familiarity with NCSC Cloud Security Principles, and Government More ❯

have an in depth understanding of: React.js - 6+ years (Solid understanding of fundamentals & up to date with latest tools) TypeScript C# .Net Node.js Azure What is also needed: Good Communication skills Stakeholder Management Fintech/Finance experience is a plus They have an amazing office in Central London More ❯

have an in depth understanding of: React.js - 6+ years (Solid understanding of fundamentals & up to date with latest tools) TypeScript C# .Net Node.js Azure What is also needed: Good Communication skills Stakeholder Management Fintech/Finance experience is a plus They have an amazing office in Central London More ❯

emerging technologies and standard methodologies to enhance our data stack. Qualifications Hands-on experience managing and optimizing data platforms in cloud environments ( AWS, Azure, or GCP ). Strong experience with dbt, Snowflake, and Python . Ability to quickly learn and adapt to new technologies . Expertise in Infrastructure More ❯

emerging technologies and standard methodologies to enhance our data stack. Qualifications Hands-on experience managing and optimizing data platforms in cloud environments ( AWS, Azure, or GCP ). Strong experience with dbt, Snowflake, and Python . Ability to quickly learn and adapt to new technologies . Expertise in Infrastructure More ❯

years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend More ❯