Deloitte - Recruitment
City, Belfast
Belfast, United Kingdom Posted on 11/05/2026 Contract Location: Belfast Contract Duration: 12 months initially (with potential extension up to 2 years) Contract Start Date: Immediate Contract Classification: Inside IR35 Role Overview This is an opportunity to join a large Tier 1 financial services organization. The team is dedicated to evolving the application and data hosting environments into an integrated, hybrid multi cloud ecosystem, primarily leveraging AWS and Google Cloud. We focus on building, automating, and optimizing the foundational cloud infrastructure and services that empower developers to innovate rapidly and securely. In this role, you will design, implement, and maintain scalable, resilient, and secure cloud platforms and solutions, embodying a "you build it, you run it" philosophy to ensure operational excellence. Key Responsibilities Cloud Platform Engineering: Design, implement, and manage core cloud infrastructure and services on AWS and GCP, focusing on compute, storage, networking, security, and identity management. Infrastructure as Code (IaC): Develop, maintain, and optimize cloud infrastructure using IaC tools such as Terraform, CloudFormation (AWS), and Deployment Manager (GCP). Create reusable modules and blueprints to standardize deployments. Automation & Orchestration: Automate the provisioning, configuration, and management of cloud resources and services. Develop scripts and tools (e.g., Python, Go, Bash) to streamline operational tasks and improve efficiency. Containerization & Orchestration: Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes, e.g., Amazon EKS, Google Kubernetes Engine) to support cloud native application deployments. Site Reliability Engineering (SRE): Embrace a "you build it, you run it" mindset. Take ownership of the reliability, performance, and availability of the cloud platforms and services you build. Implement robust monitoring, alerting, and logging solutions, and participate in on call rotations to ensure rapid incident response and resolution. Security & Compliance: Implement and enforce cloud security best practices, ensuring compliance with policies, industry standards, and regulatory requirements. Configure IAM roles, network security groups, firewalls, and encryption. CI/CD Pipeline Integration: Collaborate with development teams to integrate cloud infrastructure provisioning and management into CI/CD pipelines, enabling automated and continuous delivery. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Required Qualifications & Skills Proven experience as a Cloud Engineer, DevOps Engineer, or SRE in a mid level or senior capacity. Strong hands on experience with public cloud platforms, specifically AWS and/or Google Cloud (GCP). Infrastructure as Code (IaC) Hands on Expertise: Demonstrable experience with the following: Programming Languages: Python and Go. Solid understanding and experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Experience implementing and managing CI/CD pipelines. Strong understanding of networking concepts (VPC, subnets, routing, firewalls), security best practices, and IAM in a cloud environment. Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Splunk, ELK stack, CloudWatch, Stackdriver). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership. Preferred Qualifications & Skills Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer). Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions). Familiarity with configuration management tools like Ansible. Experience with database services (relational and NoSQL) in the cloud. Knowledge of disaster recovery and business continuity strategies in a multi cloud environment. Experience with GitOps principles and tools.
Belfast, United Kingdom Posted on 11/05/2026 Contract Location: Belfast Contract Duration: 12 months initially (with potential extension up to 2 years) Contract Start Date: Immediate Contract Classification: Inside IR35 Role Overview This is an opportunity to join a large Tier 1 financial services organization. The team is dedicated to evolving the application and data hosting environments into an integrated, hybrid multi cloud ecosystem, primarily leveraging AWS and Google Cloud. We focus on building, automating, and optimizing the foundational cloud infrastructure and services that empower developers to innovate rapidly and securely. In this role, you will design, implement, and maintain scalable, resilient, and secure cloud platforms and solutions, embodying a "you build it, you run it" philosophy to ensure operational excellence. Key Responsibilities Cloud Platform Engineering: Design, implement, and manage core cloud infrastructure and services on AWS and GCP, focusing on compute, storage, networking, security, and identity management. Infrastructure as Code (IaC): Develop, maintain, and optimize cloud infrastructure using IaC tools such as Terraform, CloudFormation (AWS), and Deployment Manager (GCP). Create reusable modules and blueprints to standardize deployments. Automation & Orchestration: Automate the provisioning, configuration, and management of cloud resources and services. Develop scripts and tools (e.g., Python, Go, Bash) to streamline operational tasks and improve efficiency. Containerization & Orchestration: Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes, e.g., Amazon EKS, Google Kubernetes Engine) to support cloud native application deployments. Site Reliability Engineering (SRE): Embrace a "you build it, you run it" mindset. Take ownership of the reliability, performance, and availability of the cloud platforms and services you build. Implement robust monitoring, alerting, and logging solutions, and participate in on call rotations to ensure rapid incident response and resolution. Security & Compliance: Implement and enforce cloud security best practices, ensuring compliance with policies, industry standards, and regulatory requirements. Configure IAM roles, network security groups, firewalls, and encryption. CI/CD Pipeline Integration: Collaborate with development teams to integrate cloud infrastructure provisioning and management into CI/CD pipelines, enabling automated and continuous delivery. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Required Qualifications & Skills Proven experience as a Cloud Engineer, DevOps Engineer, or SRE in a mid level or senior capacity. Strong hands on experience with public cloud platforms, specifically AWS and/or Google Cloud (GCP). Infrastructure as Code (IaC) Hands on Expertise: Demonstrable experience with the following: Programming Languages: Python and Go. Solid understanding and experience with containerization technologies (Docker) and orchestration platforms (Kubernetes). Experience implementing and managing CI/CD pipelines. Strong understanding of networking concepts (VPC, subnets, routing, firewalls), security best practices, and IAM in a cloud environment. Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Splunk, ELK stack, CloudWatch, Stackdriver). A strong commitment to Site Reliability Engineering (SRE) principles and practices, including operational ownership. Preferred Qualifications & Skills Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer). Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions). Familiarity with configuration management tools like Ansible. Experience with database services (relational and NoSQL) in the cloud. Knowledge of disaster recovery and business continuity strategies in a multi cloud environment. Experience with GitOps principles and tools.
Deloitte - Recruitment
Basildon, Essex
Basildon, United Kingdom Posted on 29/04/2026 Senior Data & Reporting Analyst Start: ASAP Contract Duration: 3 - 6 Months Rate: Competitive Inside IR35 Location: Essex or Manchester, Hybrid Working Model Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. With a global network of member firms in more than 150 countries and territories, we serve four out of five Fortune Global 500 companies. Our professionals are committed to making an impact that matters, delivering excellence in a challenging and dynamic environment. This is an exciting opportunity to support Deloitte Operations and work with a leading Tier 1 Banking client and support their better ways of working. Role Overview Drive MIPR's forecasting and modelling capability - building and maintaining the quantitative models that underpin scheme volume forecasts, customer response projections, and provision reporting - while also supporting the broader MI and regulatory reporting suite. Technical Skills Required Python or R - essential; this role will be building and running statistical models, not just consuming outputs; comfortable writing reproducible, documented code for forecasting and modelling workflows Statistical modelling - direct experience of building predictive or probabilistic models in a financial services or regulatory context; specifically, response rate modelling, volume projection under uncertainty, and sensitivity analysis Customer response modelling - experience modelling consumer behaviour at scale; understanding of how response rates, opt-out rates, and engagement patterns are estimated and stress-tested across large populations with limited historical data SQL - essential; querying large datasets to extract the populations and behavioural data Excel - advanced; model outputs must be translatable into structured financial formats for Finance provision reporting and ExCo consumption Time series and scenario analysis - ability to build multi-scenario forecast models with defined assumptions, clearly communicated uncertainty ranges, and version-controlled outputs as assumptions evolve Power BI - ability to surface model outputs through MI dashboards, or similar, and reporting packs to a non-technical senior audience Data validation and model governance - structured approach to assumption documentation, model versioning, and output checking; able to articulate model limitations clearly to a regulatory audience if required
Basildon, United Kingdom Posted on 29/04/2026 Senior Data & Reporting Analyst Start: ASAP Contract Duration: 3 - 6 Months Rate: Competitive Inside IR35 Location: Essex or Manchester, Hybrid Working Model Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. With a global network of member firms in more than 150 countries and territories, we serve four out of five Fortune Global 500 companies. Our professionals are committed to making an impact that matters, delivering excellence in a challenging and dynamic environment. This is an exciting opportunity to support Deloitte Operations and work with a leading Tier 1 Banking client and support their better ways of working. Role Overview Drive MIPR's forecasting and modelling capability - building and maintaining the quantitative models that underpin scheme volume forecasts, customer response projections, and provision reporting - while also supporting the broader MI and regulatory reporting suite. Technical Skills Required Python or R - essential; this role will be building and running statistical models, not just consuming outputs; comfortable writing reproducible, documented code for forecasting and modelling workflows Statistical modelling - direct experience of building predictive or probabilistic models in a financial services or regulatory context; specifically, response rate modelling, volume projection under uncertainty, and sensitivity analysis Customer response modelling - experience modelling consumer behaviour at scale; understanding of how response rates, opt-out rates, and engagement patterns are estimated and stress-tested across large populations with limited historical data SQL - essential; querying large datasets to extract the populations and behavioural data Excel - advanced; model outputs must be translatable into structured financial formats for Finance provision reporting and ExCo consumption Time series and scenario analysis - ability to build multi-scenario forecast models with defined assumptions, clearly communicated uncertainty ranges, and version-controlled outputs as assumptions evolve Power BI - ability to surface model outputs through MI dashboards, or similar, and reporting packs to a non-technical senior audience Data validation and model governance - structured approach to assumption documentation, model versioning, and output checking; able to articulate model limitations clearly to a regulatory audience if required