Science or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Marcura
Science or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature More ❯
a plus) SQL experience (No-SQL experience is a plus) Experience : Experienced Data Engineer Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (Flink More ❯
a plus) SQL experience (No-SQL experience is a plus) Experience : Experienced Data Engineer Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (Flink More ❯
deploy, release and support (CI/CD, incident/problem/change management etc.) * Experience with any cloud-based infrastructure (GCP/AWS/Azure), highly available and fault tolerant applications. * Our tech stack: GCP (GKE, Bigquery, CloudSQL, CloudMonitoring etc), but any other public cloud experience is relevant, Kubernetes More ❯
deploy, release and support (CI/CD, incident/problem/change management etc.) * Experience with any cloud-based infrastructure (GCP/AWS/Azure), highly available and fault tolerant applications. * Our tech stack: GCP (GKE, Bigquery, CloudSQL, CloudMonitoring etc), but any other public cloud experience is relevant, Kubernetes More ❯
transaction systems. Web Services: Strong background in RESTful APIs and web services. Databases: Experience with SQL (MSSQL and PostgreSQL) Cloud Platforms: Familiarity with AWS, Azure, or GCP. DevOps Tools: Knowledge of Jenkins, Git etc. Qualifications: Extensive software development experience, particularly in .Net. Proven leadership in delivering complex projects. Familiar More ❯
systems design. Extensive experience in implementing AI-first software. Proven experience in AI development and AIOps implementation. Experience with various cloud platforms (GCP, AWS, Azure, etc.), DevOps tools. Demonstrated ability to scale technical teams and deliver complex software projects on time and on budget. Experience in creating solutions that More ❯
with software development lifecycle (SDLC) methodologies like SAFe/Agile, Test-driven development. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tools, and defect management tools. Additional Preferred Qualifications: Domain knowledge in Financial Industry and Capital Markets is a plus. Working knowledge More ❯
experience in data analysis using Python or SQL is desirable. In depth knowledge of Cloud platforms and the well architected framework. (AWS - essential/Azure/GCP). Experience with security posture assessment tooling such as Qualys. Understanding of risk management principles. A team player, who is self driven More ❯
Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices More ❯
languages such as Java, C#, Python, or similar. Strong knowledge of modern software architecture, including service-oriented architecture. Experience with leading cloud platforms (AWS, Azure, Google Cloud). Experience with Oracle, Postgres, and NoSQL databases. Experience with CI/CD pipelines, containerized deployments. Familiarity with compliance frameworks (e.g. SOC2 More ❯
ELT Processes. Solid understanding of Data Integration & Architecture. Experience with data integration. Data warehousing concepts. Data flow design. Experience working with cloud computing on Azure or similar platforms. Strong knowledge and experience of Data Governance & Data Management and their implementation. Understanding of Data Quality techniques. Proficient in SQL & Python. More ❯
workarounds in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and More ❯
workarounds in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and More ❯
Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance More ❯
core OS fundamentals, hardware architectures (CPU, PCI Bus). Active participant in industry events (publish articles, present at conferences). Certifications in RHCA, AWS, Azure, VMware, Network Essentials, or other relevant certs. Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office More ❯
or similar, demonstrating leadership and innovation. Experience with modern technologies like CircleCI, GitHub, and other DevOps relevant tools. Experience with cloud platforms (e.g., AWS, Azure, GCP). Solid understanding of networking, security, and system administration. Excellent problem-solving and communication skills. Experience delivering and maintaining systems that run on More ❯
in SQL and the use of SQL Server Experience of tools supporting the development and version control process, for example JIRA/Confluence, GIT, Azure DevOps - e.g. release pipelines, automation etc Experience of Business Analysis skills in converting business requirements into technical solutions Problem solving techniques, debugging scripts and More ❯
collaboration abilities. QUALIFICATIONS 3+ years QA automation experience supporting large, critical business applications; 5+ years QA experience with Test and Issues Management Tools (JIRA, Azure DevOps); Testing Activities, Manual and Automated Testing Procedures and Tools; Solutions Development Life Cycle in Agile & Waterfall Environments; QA Test Management tools; Creation and More ❯
Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals More ❯
Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals More ❯
Success for enterprise customers. Advanced Technical Expertise in cloud security, container security, DevOps practices, and SDLC principles. Hands-on knowledge of cloud platforms (AWS, Azure, GCP) and Kubernetes ecosystem. Proven experience in technical solution design, implementation, and performance optimization. Proficiency in scripting/programming languages (e.g., Python, Bash, Terraform More ❯
Experience with VoIP and LLM APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML deployment. Soft Skills & Compliance Strong communication skills—able to partner with non-technical teams and translate needs into solutions. More ❯
