Government client on a contract basis. This role requires a deep understanding of data engineering best practices, strong hands-on experience with AWS, Azure, Apache Spark, data warehousing, database modelling and SQL. You’ll play a critical role in designing, building, and maintaining our data infrastructure to support More ❯
web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development More ❯
Strong stakeholder management and communication skills with cross-functional teams. Preferred Qualifications AWS Certified Solutions Architect (Associate/Professional) or similar certification in Azure/GCP. Experience implementing Zero Trust architecture and secure API ecosystems. Exposure to Open Banking, BIAN frameworks, or ISO 20022 messaging standards. Understanding of More ❯
Strong stakeholder management and communication skills with cross-functional teams. Preferred Qualifications AWS Certified Solutions Architect (Associate/Professional) or similar certification in Azure/GCP. Experience implementing Zero Trust architecture and secure API ecosystems. Exposure to Open Banking, BIAN frameworks, or ISO 20022 messaging standards. Understanding of More ❯
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 ❯
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 ❯
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 ❯
MySQL , PostgreSQL , MongoDB ). Experience designing data models and optimizing queries for performance. ✅ Cloud and Containerization: Experience working with cloud platforms like AWS , Azure , or Google Cloud . Familiarity with Docker , Kubernetes , or other containerization technologies, particularly for deployment and scaling of applications. ✅ Version Control & CI/CD More ❯
MySQL , PostgreSQL , MongoDB ). Experience designing data models and optimizing queries for performance. ✅ Cloud and Containerization: Experience working with cloud platforms like AWS , Azure , or Google Cloud . Familiarity with Docker , Kubernetes , or other containerization technologies, particularly for deployment and scaling of applications. ✅ Version Control & CI/CD More ❯
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 ❯
API architectures. Deep understanding of database systems (SQL and NoSQL), schema design, and optimization techniques. Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes). Proficiency in version control systems (e.g., Git) and CI/CD pipelines. Strong debugging, problem-solving More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Parser
MySQL , PostgreSQL , MongoDB ). Experience designing data models and optimizing queries for performance. ✅ Cloud and Containerization: Experience working with cloud platforms like AWS , Azure , or Google Cloud . Familiarity with Docker , Kubernetes , or other containerization technologies, particularly for deployment and scaling of applications. ✅ Version Control & CI/CD More ❯
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 ❯
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 ❯
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 ❯
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 tool, and defect management tools. Additional Preferred Qualifications: Domain knowledge in Financial Industry and Capital Markets is a plus. Working knowledge More ❯
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 ❯
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 ❯
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 ❯
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 ❯
Banking Technology expertise required, with experience supporting or developing solutions for origination, syndication, and trading workflows. Expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience building and deploying scalable solutions leveraging microservices architecture. Strong proficiency in database technologies, including relational (SQL) and non-relational More ❯
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 ❯
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 ❯
