7,051 to 7,075 of 10,773 Azure Jobs

of data warehousing concepts and ETL/ELT patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best More ❯

of data warehousing concepts and ETL/ELT patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best More ❯

intelligence and its application within technology solutions. Nice to Have: • Previous experience in the aviation, travel, or transport sectors. • Exposure to cloud-based or data-driven projects (e.g., AWS, Azure, GCP). • PMP, PRINCE2, or Agile certifications. More ❯

similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

with Python-based data engineering and SQL. Background in software engineering with experience running systems in production. Knowledge of observability, monitoring, and performance optimisation. Experience with cloud data platforms (Azure preferred). Exposure to streaming and event-driven data pipelines is advantageous. Ability to work independently without heavy coaching or mentoring. Comfortable working in an Agile, product-led environment. More ❯

Engineer building modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices - testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world More ❯

software engineering, with a proven track record of scaling engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in More ❯

software engineering, with a proven track record of scaling engineering teams and platforms in complex environments. Expertise in modern software practices including DevOps, SRE, IaC, and cloud-native design (Azure, AWS, or GCP). Experience implementing AI/ML-enabled tooling within engineering practices (eg code copilots, test generation, anomaly detection, CI/CD acceleration). Demonstrable success in More ❯

Engineer building modern backend systems Strong Python skills (FastAPI preferred; Flask or Django also considered) Knowledge of system design, data modelling, and distributed architecture Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation Understanding of software engineering best practices — testing, CI/CD, clean code A genuine interest in AI systems, automation, and applying engineering to real-world More ❯

of data warehousing concepts and ETL/ELT patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best More ❯

similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

of data warehousing concepts and ETL/ELT patterns Experience with version control (Git), testing, and code review practices Familiarity with cloud-based data environments (e.g. AWS, GCP, or Azure) Exposure to modern data tools such as Airflow, dbt, or Snowflake Experience or strong interest in streaming technologies like Apache Kafka Interest in MLOps and modern data engineering best More ❯

similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

similar). Experience leading multidisciplinary data teams in consulting or enterprise environments. Excellent communication skills with technical and non-technical stakeholders. Desirable: Experience with other modern data platforms (Databricks, Azure, AWS, GCP). Experience with platform observability and CI/CD for data platforms. Hands-on experience with tools like dbt, Fivetran, Matillion, or Airflow. Experience supporting pre-sales More ❯

Enterprise Architect within the London Insurance Market (Lloyd’s, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems — such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level More ❯

Enterprise Architect within the London Insurance Market (Lloyd’s, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems — such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level More ❯

C# BDD) Use Gherkin syntax to write clear and effective test scenarios Carry out integration, regression, UAT, and performance testing Embed automated testing into CI/CD pipelines via Azure DevOps Validate large datasets and ensure data integrity Log and manage defects, working closely with dev teams to resolve issues About You Solid experience in manual web application testing More ❯

Enterprise Architect within the London Insurance Market (Lloyd's, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems - such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level More ❯

graphs, IDFA/GAID) Tagging & tracking stacks (GTM, Tealium, server-side tagging, event streams) Media platforms, analytics, attribution and measurement solutions Knowledge of cloud environments (AWS/GCP/Azure) and event-driven data pipelines. Contract Details Contract: Outside IR35 Location: London & remote hybrid Industry: Consumer electronics/digital/marketing technology How to Apply If this matches your More ❯

and resolutions. Customer Service: Ensuring a high level of customer satisfaction through effective communication and timely updates. Technical Skills - Windows OS/Server Active Directory & Group Policies Office 365 & Azure Administration Hardware and Software Troubleshooting Basic knowledge of IT Systems and Networks What We Offer Professional Development: Opportunities for training and career progression. Supportive Environment: A collaborative team culture More ❯

Enterprise Architect within the London Insurance Market (Lloyd’s, Managing Agents, or Syndicates). Strong background in software and application architecture , ideally within .NET, Java, or cloud-native environments (Azure/AWS) . Deep understanding of insurance systems — such as policy administration, claims, exposure management, data platforms, and integration frameworks. Experience conducting technology landscape reviews and defining enterprise-level More ❯

models in a commercial or scientific environment.* Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent More ❯

willingness to travel to visit customer sites Driving License Technical Skills: Infrastructure Specialist Configuration automation with Ansible Linux, preferably Redhat/Centos Good Network skills (Firewalls & Switches) AWS/Azure/GCP Containerisation technologies such as Kubernetes and Docker Grafana and or Prometheus Vmware Experience: Minimum 3 years. More ❯

Skills & Experience Proven experience as a Solution Architect within Facilities Management or a closely related sector. Expertise in one or more of the following: CRM, complex case management, Telephony, Azure, Cloud technologies, Dynamics, SaaS products, RPA/AI, or Data Analytics. Strong understanding of IT infrastructure, Cloud-based solutions, and modern application architectures. Demonstrable experience supporting large-scale IT More ❯