1,051 to 1,075 of 8,412 Azure Jobs

the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data More ❯

Experience automating infrastructure, testing, and deployment processes using tools like CircleCI; infrastructure as code knowledge is a plus. Familiarity with AWS services; knowledge of Azure or Google Cloud is beneficial. Strong understanding of modern web and mobile application development, with hands-on experience in JavaScript (TypeScript preferred) and Python More ❯

in English. Bonus Points: Experience with Microservices Architecture. Knowledge of Redis or other caching systems. Familiarity with Kubernetes or cloud-based infrastructure (AWS, GCP, Azure). Writing unit and integration tests using PHPUnit or similar tools. Experience with CI/CD pipelines. Nice to have, but not obligatory: Work More ❯

and/or Kubernetes platform management. Extensive experience with Kubernetes orchestration platforms (e.g., EKS, OpenShift, or other enterprise Kubernetes distributions) and cloud infrastructure (AWS, Azure, VMware, etc.). Deep understanding of containerization technologies such as Docker, Podman, and OCI-compliant runtimes. Hands-on experience with CI/CD pipelines More ❯

test strategies for automated regression testing. Follows secure coding practices, performs triaging of security issues, and implements fixes to deliver secure applications. Familiarity with Azure DevOps and GitLab. Knowledge of common software vulnerabilities and leading practices to mitigate them. Experience with pipeline automation. Usage of Docker and Kubernetes. Knowledge More ❯

analyse system capacities and plan for future growth to accommodate increased loads. Knowledge, Experience, and Technical Know-How: Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerisation technologies. Familiarity with CI/CD pipelines and DevOps methodologies. Proficient in scripting/programming languages such as Python, Bash, or More ❯

ORMs, database indexing, and query optimization. Experience with Celery, Redis, and task scheduling. Practical knowledge of Docker, Kubernetes, or cloud platforms (AWS, GCP, or Azure) is a plus. Familiarity with unit testing, debugging, and performance tuning. Proficient in version control systems (Git, GitHub/GitLab/Bitbucket). Experience More ❯

with Oracle SQL, Windows, Linux is mandatory Experience with Bash and PowerShell scripting would be nice to have Experience with Kafka, Kubernetes, Docker and Azure are nice to have ITIL certification would represent a plus Agile working model experience Experience in the automotive industry is nice to have Excellent More ❯

technologies such as Apache Spark, Hadoop, and experience with data pipeline tools like Apache Airflow. ? Cloud Platforms: Strong experience with cloud services, particularly AWS, Azure, or Google Cloud Platform, including services like S3, EC2, Lambda, and data warehousing solutions. ? Database Systems: Proficiency in SQL and experience with both relational More ❯

enduring and impactful for our customers." Technical Expertise You will have 5+ years of experience in Data Engineering, with a focus on cloud platforms (Azure, AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in More ❯

with .NET Core, C# , and building cloud-native APIs. Strong knowledge of JavaScript technologies (React, Angular, or similar). Proven experience with AWS or Azure cloud infrastructure and services. Strong grasp of Microservices architecture and event-driven systems. Solid understanding of Automated Testing , Infrastructure as Code , and DevOps practices. More ❯

Some familiarity of Docker Experience debugging complex applications Excellent communication and collaboration skills with a proven ability to work effectively in a team environment Azure, AWS, RabbitMQ and Quartz experience is a plus By applying, I confirm I have read and accepted TransPerfect's Privacy Policy More ❯

Some familiarity of Docker Experience debugging complex applications Excellent communication and collaboration skills with a proven ability to work effectively in a team environment Azure, AWS, RabbitMQ and Quartz experience is a plus By applying, I confirm I have read and accepted TransPerfect's Privacy Policy More ❯

embedded devices using wired and wireless communication protocols Using an ORM NET Core, ASP.NET Core Web API Coding mathematical algorithms Cloud infrastructure and MS Azure or AWS. More ❯

Jenkins, GitLab CI). Proficiency with scripting languages (Python, Bash). Understanding of containerisation and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, Azure, GCP). Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Experience with EKS Harness, Kubernetes, Jenkins/Cloudbees, Terraform More ❯

or a related role. Desired: Experience with Informatica and Snowflake. Strong proficiency in SQL and database management. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus. Excellent problem-solving and analytical skills. Strong More ❯

field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). Knowledge of big data technologies (e.g., Hadoop, Spark). Knowledge of data lifecycle More ❯

the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector More ❯

the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based More ❯

the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector More ❯

TCP and VPN, You Know when to use Infrastructure as Code and DevOps methodologies, You've worked with cloud technologies such as AWS, OpenStack, Azure or Google Cloud What s Next? If you have the skills and passion to be successful in this Staff Software Engineer role, we would More ❯

and strategize for future growth, ensuring infrastructure readiness to accommodate increased loads and scaling needs. Qualifications: Technical Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP), containerisation technologies, automation and orchestration tools. Familiarity with CI/CD pipelines and DevOps methodologies is essential. Scripting Proficiency: Proficiency in scripting/ More ❯

understanding of micro front-end architectural patterns . Experience building applications using RESTful APIs and Web Services . Hands-on experience in AWS/Azure environments with CI/CD and DevOps exposure. Excellent problem-solving skills and ability to work collaboratively in a team-oriented environment. Strong communication More ❯

and data integration. Excellent SQL skills; scripting in PL/SQL is a plus. Solid understanding of the full SDLC, cloud environments (AWS/Azure/GCP), and Big Data technologies. Familiarity with modern EDM architectures and semantic layer design. Personal Attributes: Strong analytical, problem-solving, and critical thinking More ❯

and data integration. Excellent SQL skills; scripting in PL/SQL is a plus. Solid understanding of the full SDLC, cloud environments (AWS/Azure/GCP), and Big Data technologies. Familiarity with modern EDM architectures and semantic layer design. Personal Attributes: Strong analytical, problem-solving, and critical thinking More ❯