276 to 300 of 2,750 Remote Azure Jobs

Understanding of process and the value of organisational efficiency. Desirable skills and experience Certifications in relevant data and analytics technologies (e.g., AWS Certified Big Data Specialty, Snowflake, Microsoft Certified: Azure Data Engineer Associate) are desirable. Bachelor's or master's degree in computer science, information systems, or a related field. Strong influencing and negotiation skills. Who we are At More ❯

them: Designing microservice-based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns Kubernetes Knowledge/Certification in Spring framework. Experience in cloud technologies AWS/Azure/GCP More ❯

by AI researchers and engineers worldwide. This role would suit an experienced engineer with a track record of designing and building greenfield systems. Skills: Python, Go, JavaScript GCP, AWS, Azure Kubernetes, Docker, Terraform The money is good too – up to £120k plus benefits including remote working and share options. If you're interested and would like to know more More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

Skills: Languages/Tools: Python, SQL, PySpark, R, SAS ML/AI: Scikit-learn, TensorFlow, NLP, Time-Series Forecasting Data Engineering: ETL, Data Wrangling, Data Pipelines Cloud Platforms: AWS, Azure, GCP (Data Services) Visualization: Power BI, Tableau, Matplotlib, Seaborn Domain Expertise: Financial Services, Risk Management, Payments, Compliance, Customer Analytics Other: Agile/Scrum, Model Validation, Data Governance More ❯

a fast-paced and agile environment. Experience with CI/CD pipelines and DevOps practices. Proficiency in containerisation technologies such as Docker Familiarity with serverless architecture and AWS/Azure services. Experienced with AI productivity tools and how to utilise them. Benefits: Competitive salary and performance bonuses. Flexible working hours and remote working options. Professional development opportunities. Collaborative and More ❯

with Databricks (Spark, Delta Lake, and MLflow). Proficiency in ETL/ELT development and orchestration tools (DBT, Airflow, or similar). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid understanding of SQL, Python, and PySpark for data processing. Familiarity with CI/CD pipelines and DevOps practices for data solutions. You will be collaborating More ❯

and developer satisfaction for continuous improvement. Skills & Experience Proven experience as a Product Owner or Technical Product Manager in platform engineering or DevOps. Strong knowledge of cloud infrastructure (AWS, Azure, GCP), containerisation (Docker, Kubernetes), and CI/CD pipelines. Agile experience with cross-functional teams. Excellent communication and stakeholder management skills. Ability to translate technical concepts into business value. More ❯

and developer satisfaction for continuous improvement. Skills & Experience Proven experience as a Product Owner or Technical Product Manager in platform engineering or DevOps. Strong knowledge of cloud infrastructure (AWS, Azure, GCP), containerisation (Docker, Kubernetes), and CI/CD pipelines. Agile experience with cross-functional teams. Excellent communication and stakeholder management skills. Ability to translate technical concepts into business value. More ❯

and developer satisfaction for continuous improvement. Skills & Experience Proven experience as a Product Owner or Technical Product Manager in platform engineering or DevOps. Strong knowledge of cloud infrastructure (AWS, Azure, GCP), containerisation (Docker, Kubernetes), and CI/CD pipelines. Agile experience with cross-functional teams. Excellent communication and stakeholder management skills. Ability to translate technical concepts into business value. More ❯

API keys) and lifecycle management Oversee disaster recovery strategies and resilience testing Automate infrastructure upgrades using IaC tools 🛠️ Tech Stack: Cloud & DevOps: AWS (Lambda, API Gateway, ECS, DynamoDB, S3), Azure DevOps, GitHub Workflows Security: Secure coding, vulnerability scanning, compliance frameworks Infrastructure Automation: Terraform, Ansible, Docker Programming: Python, Node.js API Management: Apigee Edge/Apigee X What We’re Looking More ❯

data pipelines and models that power analytics across the company. Key Skills: 3-5+ years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You'll: Build and More ❯

technologies such as UWP (preferred) and WPF, with familiarity in WinUI 3* Integrate third-party toolkits such as Windows Community Toolkit, Syncfusion, Telerik* Participate actively in Agile practices* Use Azure DevOps for task tracking and GitHub for version control & CI/CD pipelines Skills & Experience* Bachelor's degree in computer science or related field* 3+ years' experience in .NET More ❯

and techniques Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or DV Clearance More ❯