26 to 50 of 1,202 Remote/Hybrid Digital & IT Jobs

data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data legislation. Champion ...

data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data legislation. Champion ...

data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data legislation. Champion ...

data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain ...

that support analytics, operational workloads,AIand emerging usecases. You may work with technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed ...

transaction reporting), Risk Management, or Capital Markets. Cloud Awareness: Familiarity with cloud-native development and deploying applications on cloud platforms (AWS, GCP, or Azure). Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field What ...

learning integration, or proprietary calculation engines. Oversee the migration, integration, or hybrid deployment of KDB+ on-premises and in cloud environments (e.g., AWS, GCP, KX Insights). Performance Engineering & Stability Conduct deep profiling, capacity planning, and latency/memory optimization across high-volume market and transactional data streams. Implement ...

models in production. Data & platform: SQL, plus experience designing batch and stream data-processing systems. Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional Information Bring ...

monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Proficiencyin cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker). Working knowledge of SQL and NoSQL databases. Experience with Terraform, or awareness of IAC with willingness to learn Strong background ...

learning integration, or proprietary calculation engines. Oversee the migration, integration, or hybrid deployment of KDB+ on-premises and in cloud environments (e.g., AWS, GCP, KX Insights).Performance Engineering & StabilityConduct deep profiling, capacity planning, and latency/memory optimization across high-volume market and transactional data streams. Implement robust Disaster ...

automation initiatives within a financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.* Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional ...

Source Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agent Development Kits (ADK), Model Context Protocol (MCP), and Google Cloud Platform (GCP). The role provides exposure to cloud-native architecture, MLOps, AI governance, and enterprise-scale solution delivery, enabling you to contribute to transformational programmes … specific business requirements. Collaborate with business stakeholders, architects, and engineering teams to translate use cases into technical solutions. Deploy and manage AI workloads on GCP using modern cloud-native and container technologies. Implement MLOps best practices covering model deployment, monitoring, CI/CD, automation, and governance. Ensure solutions meet ...

applications in Python . Experience designing and building APIs and service-oriented architectures. Strong understanding of cloud platforms such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. Experience building ...

applications in Python . Experience designing and building APIs and service-oriented architectures. Strong understanding of cloud platforms such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. Experience building ...

Willing to work a hybrid model Must be fluent in English both verbal and written undefined Additional Technical Skills Cloud Platforms: (e.g. AWS, GCP, Azure) CI/CD Tooling: (e.g. GitHub Actions, ArgoCD, Harness) Monitoring & Observability: (e.g. Prometheus, Grafana, Coralogix, OpenTelemetry) Infrastructure as Code: (e.g. Terraform, Pulumi) Config Management ...

experience with containerization and orchestration technologies, particularly Docker and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP), including networking, IAM, and managed services Experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps ...

cloud‐based environment. Hands‐on experience with big data frameworks such as Spark or Databricks. Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience with data modelling and workflow orchestration. Bonus points for Experience in stream processing frameworks and event ...

boost efficiency, and deliver innovative solutions. The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern web applications. With a globally distributed presence across the US, India ...

data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain ...

native applications using services like AWS S3, SQS, Kinesis, Graph DB, OpenSearch/Elasticsearch or equivalent services on other cloud platforms such as GCP Taking initiative, learning quickly, and adapting to shifting priorities, while working independently under minimal guidance, self‐motivated, and able to research solutions with little supervision. ...

below, don’t let that stop you from applying! Engineering and Data Engineering Hands-on Python experience Knowledge of cloud infrastructure like AWS, GCP or Azure Have used version control systems, specifically Git or similar tools Understanding of TDD and diverse testing methodologies, such as data quality, integration ...

below, don’t let that stop you from applying! Engineering and Data Engineering Hands-on Python experience Knowledge of cloud infrastructure like AWS, GCP or Azure Have used version control systems, specifically Git or similar tools Understanding of TDD and diverse testing methodologies, such as data quality, integration ...

below, don’t let that stop you from applying! Engineering and Data Engineering Hands-on Python experience Knowledge of cloud infrastructure like AWS, GCP or Azure Have used version control systems, specifically Git or similar tools Understanding of TDD and diverse testing methodologies, such as data quality, integration ...

working effectively within a collaborative team environment. Desirable AttributesPrior internship experience in a software development role. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.#LI-JB1About usEbury delivers sophisticated ...

models in production. Data & platform: SQL, plus experience designing batch and stream data-processing systems. Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional InformationBring ...