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Data Engineer \n Pay of up to £75,664, 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. \n DWP. Digital with Purpose. \n Are you an experienced Senior Data Engineer with strong skills in Azure and data pipelines and experience leading technical teams? \n Join DWP's Data Engineering community and help build the data platforms and services that support millions of... \n \n \n \n ZIPC1_UKTJ

Location: Sheffield/ Hybrid 60% office-40% Remote Duration: 30/11/2026 • The Storage Architect / Engineer will be responsible for designing, implementing, and optimising enterprise‑grade storage, virtualisation, and data‑platform solutions across hybrid environments. This role requires deep expertise in storage platforms, virtualisation, data‑centre technologies, and migration strategy, with growing emphasis on cloud, automation, and container‑based architectures., • You will work closely with cross‑functional infrastructure, cloud, security, and DevOps teams to deliver resilient, scalable, and high‑performance storage services for mission‑critical workloads. Storage Architecture & Engineering: • Design, implement, and maintain enterprise storage solutions (SAN/NAS/Object) across multi‑vendor ecosystems., • Lead storage assessments, capacity planning, performance tuning, and lifecycle management., • Develop High‑Level Designs (HLDs) and Low‑Level Designs (LLDs) for on‑prem and hybrid storage systems., • Deliver disaster recovery storage architecture, including replication, failover design, and runbooks (e.g., SnapMirror, SRDF, RecoverPoint, etc.)., • Design and configure SAN fabrics, zoning, multipathing, and storage connectivity., • Architect and support VMware environments (vCenter/ESXi, HA/DRS clusters, storage policies, vSAN)., • Integrate storage solutions with VMware, Hyper‑V, and container platforms., • Participate in large‑scale data‑centre migrations, consolidation programmes, DR tests, and infra modernisation initiatives., • Contribute to cloud storage designs (Azure preferred), including hybrid connectivity, virtual networks, subscriptions, and backup/replication patterns., • Work with cloud‑native storage constructs (managed disks, Azure Files/NFS, blob lifecycle policies). Containerisation & Platform Engineering (Desirable / Growth Area): Participate in OpenShift/Kubernetes platform design as it relates to: • storage classes, CSI drivers, • persistent volumes and migration of stateful workloads, • cluster topology and operator‑based deployments Work alongside DevOps teams to ensure storage integration for microservices platforms. Automation, IaC & DevOps (Emerging Priority): • Develop automation for storage provisioning, configuration, and compliance using: Ansible, Terraform, Python or Bash scripting, • Integrate storage processes into CI/CD workflows where applicable (Jenkins, GitHub Actions, ArgoCD). Security & Compliance: • Ensure storage architectures meet security, audit, and operational compliance requirements., • Contribute to network micro‑segmentation and storage‑centric security controls (RBAC, encryption at rest, key‑management integration). Documentation & Stakeholder Communication: • Produce comprehensive HLDs, LLDs, operational documentation, migration runbooks, and architectural decision records., • Provide expert guidance to engineering teams, project managers, and senior leadership. Storage & SAN: • Extensive experience across enterprise SAN/NAS platforms such as: NetApp (7‑Mode, Clustered ONTAP), Dell EMC (VNX, VPLEX, Unity, VMAX, PowerMax), HPE 3PAR, Brocade/Cisco SAN switches (zoning, fabrics), • Proven experience delivering complex storage migrations and DC transitions., • Strong background in VMware vSphere/vCenter, ESXi clusters, resource scheduling, storage integration., • Experience with VMware SRM/SRA. Backup & DR: • Experience with enterprise backup suites such as NetBackup, Veeam, EMC Networker, Data Domain, SnapVault/SnapMirror, etc. Infrastructure Design: • Demonstrated ability to produce high‑quality HLD/LLD documentation., • Experience leading large‑scale migration projects (applications, workloads, storage, DC moves)., • Familiarity with Azure storage constructs, migrations, network design, and subscription planning., • Architectural experience with OpenShift, persistent storage solutions for containers (CSI, RWX storage, stateful workload migration). Pure Storage Expertise: • Hands‑on experience with: Pure FlashArray, • Pure FlashBlade, • Purity OS, snapshots, replication, Evergreen storage models. Automation & IaC: • Demonstrable experience with: Scripting languages (Python, Bash, PowerShell), • Understanding of how storage integrates with: Jenkins, • GitHub Actions, • ArgoCD Modern Observability & Monitoring: • Experience with storage and infrastructure monitoring platforms (Prometheus, Grafana, DataDog, SolarWinds). Qualifications: • Relevant vendor certifications (NetApp NCDA/NCIE, VMware VCP, EMC/DELL, HPE)., • Kubernetes/OpenShift certifications (CKA/CKAD/Red Hat EX280) strongly preferred. #J-18808-Ljbffr

Location: Sheffield (60% onsite / 40% remote) IR35: Inside IR35 We're looking for an experienced Cyber Platform Engineer to join a high-performing Cyber Security Engineering team, building the platforms, automation, and services that underpin critical cyber security capabilities. This role is ideal for a software engineer first, with strong development experience and a passion for building production-grade systems. You'll work across backend engineering, cloud platforms, automation, and DevOps practices, developing scalable solutions that support cyber security and data engineering teams. • Design, develop, and maintain backend services, APIs, and engineering tools., • Build production-quality software using Python., • Apply engineering best practices including SOLID principles, design patterns, testing, and code reviews., • Develop scalable, secure, and maintainable applications., • Produce technical documentation and contribute to engineering standards., • Deploy and support services within AWS or Azure environments., • Implement Infrastructure as Code using Terraform., • Build secure integrations and support cloud-native architecture patterns., • Support platforms used by Cyber Security and Data Engineering teams., • Build and maintain CI/CD pipelines., • Implement monitoring, alerting, and observability solutions., • Troubleshoot production issues and support operational environments., • Continuously improve platform reliability, performance, and security., • Strong software engineering background with significant hands-on development experience., • Python, • Go, • Experience building APIs, microservices, and backend services., • Strong understanding of software architecture, design patterns, and engineering best practices., • Experience with automated testing including unit, integration, TDD, or BDD approaches., • Cloud experience within AWS and/or Azure., • Infrastructure as Code experience using Terraform., • Experience with CI/CD pipelines and modern DevOps practices., • Strong troubleshooting and operational support capabilities. We're seeking engineers who come from a software development background first, with cloud, DevOps, and platform skills complementing their engineering expertise. You'll be someone who takes ownership of quality, security, and reliability while collaborating effectively across engineering, security, and platform teams. #J-18808-Ljbffr

Role Title: Cybersec Sciences & Analytics OpenSource Data Platform Solution Engineer Duration: contract to run until 10/08/2027 Rate: up to £533.60 p/d Umbrellainside IR35 Cybersecurity Sciences & Analytics (CSA) is a ~$50m and ~150 headcount function, bringing together expertise across cybersecurity, data science, AI, software and cloud engineering, governance, and programme management to: • Deliver cyber analytics capabilities that measurably improve cyber prevention, control effectiveness, and the resilience of operations across the cyber lifecycle, • Engineer, automate, and continuously enhance cyber detection and response capabilities to enable effective, resilient, and scalable security operations, • Provide trusted Cyber risk, control, and regulatory insights that inform executive decision-making and investment prioritization, • Ensure cyber products, data, and bank-wide AI use cases comply with cyber risk appetite, regulatory requirements, and data standards, through effective data and AI governance, • Evolve Cyber analytics platforms, products, and engineering practices through a controlled maturity roadmap, to improve platform and operational resilience, efficiency, and sustainability without increasing risk This Technical Solution Engineer is a hands-on architecture and solution design specialist in CSA’s Strategy and Governance team. They shape and assure end-to-end technical designs that enable CSA’s cyber analytics and engineering outcomes. They define and maintain key architecture artefacts (HLDs/LLDs, reference architectures, patterns, and ADRs). They also drive technology evaluation and standardisation across an open-source, petabyte-scale data platform. They own solution designs for custom cybersecurity applications, from requirements through to production support. Partnering with engineering, platform, and central architecture/governance teams, they run design and governance forums and influence without authority. They’ll bring genuine cybersecurity expertise—threat modelling, security controls, identity and access, encryption, logging, and secure SDLC—so CSA’s platforms and products can be trusted in production and stand up to regulatory scrutiny. They balance target architecture with delivery realities, collaborate across geographies, and contribute hands-on when needed, including coding. The ideal candidate will possess a strong technical background, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. • Define and maintain architecture artefacts, including HLDs/LLDs, reference architectures, patterns, ADRs (Architecture Decision Records), and reusable templates., • Contribute to the design and evolution of a petabyte-scale data platform built on open-source technologies., • Evaluate technologies and drive standardisation: assess OSS components and vendors, run PoCs, document trade-offs, and promote reusable patterns to reduce fragmentation., • Own the end-to-end solution design for custom-built applications that support the Bank’s cybersecurity ambition., • Provide architecture and design input to software engineering and platform teams to support implementation and delivery., • Partner with central architecture and governance teams to ensure solutions align with the Bank’s controls, policies, standards, and guardrails., • Help ensure solutions remain compliant, operationally supportable, and within agreed cost boundaries., • Person requirements, • Strong team player, able to collaborate effectively with colleagues across geographies, time zones, and cultures., • Excellent written and verbal communication skills, with the ability to explain complex technical topics clearly., • Able to influence without authority; confident facilitating design workshops and governance forums., • Strong prioritisation and pragmatic decision-making, balancing target architecture with delivery realities., • Comfortable designing solutions end-to-end, while also able to roll up sleeves and contribute hands-on (including coding where needed)., • Skills and knowledge, • Demonstrable experience designing, deploying, and operating big data platforms at scale., • Hands-on experience with OSS data ecosystems (e.g., Spark, Trino, Airflow, Apache Superset, and similar technologies)., • Knowledge of cloud platforms and traditional on-premise hosting; hands-on experience with Azure, AWS and/or GCP is beneficial., • Proven security architecture expertise, including:, • Threat modelling and secure-by-design practices, • IAM (RBAC/ABAC), privileged access concepts, and service-to-service authentication, • Encryption in transit/at rest, key management, secrets management, • Secure logging/telemetry, auditability, and evidence-driven control assurance, • Secure SDLC, vulnerability management, and dependency/supply-chain risk controls, • Proven experience delivering end-to-end solution designs, from requirements through to production operations and support. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! #J-18808-Ljbffr

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We are seeking a highly experienced Senior Cloud-Native Full-Stack Engineer to design, develop, and operate scalable, secure, and resilient enterprise applications. The ideal candidate will have strong hands-on expertise across Java, Spring Boot, microservices, Kubernetes, cloud platforms, databases, Kafka, DevOps, observability, front-end technologies, and AI tools. • Design and develop scalable Java/Spring Boot microservices., • Build resilient distributed systems using timeouts, retries, circuit breakers, caching, and asynchronous processing., • Deploy and manage applications on AWS, GCP, or Azure., • Develop and operate production workloads on Kubernetes, including deployments, services, ingress, autoscaling, configuration, and troubleshooting., • Implement service-mesh capabilities using Istio, including traffic management, mTLS, security policies, and observability., • Design and optimize relational and NoSQL databases based on application requirements., • Build scalable and highly available event-driven solutions using Apache Kafka., • Develop responsive front-end applications using React, Angular, or Vue.js., • Build CI/CD pipelines and automate infrastructure using tools such as Jenkins, GitHub Actions, GitLab CI, Terraform, or Helm., • Implement monitoring, logging, tracing, and alerting using Prometheus, Grafana, OpenTelemetry, ELK, or equivalent tools., • Apply secure coding, cloud security, disaster recovery, and high-availability practices., • Use AI-assisted development tools and contribute to AI/LLM-enabled solutions., • Participate in architecture discussions, code reviews, mentoring, and technical leadership., • 8+ years of software engineering experience, with significant production experience in Java and Spring Boot., • Strong knowledge of microservices and distributed-system design., • Hands-on production experience with Kubernetes and Docker., • Practical experience with Istio or another service mesh., • Strong database fundamentals, including data modeling, indexing, transactions, replication, partitioning, and query optimization., • Experience with PostgreSQL, MySQL, Oracle, MongoDB, Redis, DynamoDB, Cassandra, or equivalent technologies., • Strong experience with Kafka, including partitions, consumer groups, replication, offsets, retention, ordering, and scalability., • Experience with at least one major cloud platform: AWS, GCP, or Azure., • Strong understanding of SDLC, Agile delivery, CI/CD, automated testing, release management, and production support., • Experience with observability, incident response, performance tuning, and reliability engineering., • Working knowledge of React, Angular, or Vue.js., • Familiarity with LLMs, generative AI, prompt engineering, AI coding assistants, or agentic applications., • Excellent communication, analytical, leadership, and problem-solving skills., • Experience building mission-critical, high-availability systems., • Experience with multi-region architectures, zero-downtime deployments, and disaster recovery., • Experience with OpenTelemetry, Terraform, Helm, Kafka Streams, GraphQL, or gRPC., • Cloud or Kubernetes certifications., • Experience mentoring engineers and leading technical design initiatives. #J-18808-Ljbffr

Data Engineer Sheffield / Hybrid Contract until end of August 2027 Up to £538 per day (Umbrella) We are seeking an experienced Data Engineer with strong Python development, Azure cloud, and SRE/DevOps expertise to join a high-profile programme. This is not a pure SRE/DevOps position. We are looking for a candidate who is first and foremost a Software/Data Engineer, with hands-on experience building and supporting modern cloud-based data platforms and production environments. The Role You will be responsible for designing, developing, and supporting scalable data solutions within Azure, working across the full software development lifecycle. The successful candidate will have experience building robust data pipelines, automating deployments, and supporting production services while driving reliability, performance, and operational excellence. Essential Skills & Experience • Strong Python software engineering capabilities, • Hands-on Azure cloud and data engineering experience, • Experience building and maintaining data pipelines / ETL solutions, • Strong SQL skills, • Terraform and Infrastructure as Code (IaC), • CI/CD, Git, and automation tooling, • Linux administration and scripting (Bash and/or PowerShell), • Hands-on SRE/DevOps and production support experience Desirable Skills • Azure Databricks, Data Factory, or Data Lake, • Kafka, Event Hubs, or Spark, • Kubernetes, • Azure Monitor, Grafana, or Prometheus, • Cybersecurity experience, including SIEM/SOAR technologies, • Financial Services experience Ideal Candidate You will be a Software/Data Engineer first, with strong Azure expertise and the ability to work across development, automation, and operational support. Candidates with a blend of Data Engineering, Cloud Engineering, and SRE/DevOps experience will be particularly well suited. Cybersecurity experience would be advantageous but is not essential. Please Note We are not looking for candidates whose experience is primarily focused on SRE, DevOps, Infrastructure, or Platform Engineering without significant software and data engineering expertise. #J-18808-Ljbffr

Cognizant in Sheffield is seeking an experienced Azure Data Engineer to design, develop and deliver modern data platform solutions with a focus on Microsoft Fabric migration. The role requires strong Azure data technologies expertise and the ability to guide migration engineers, QA resources and sta

Location: Sheffield (2 days per week/ Hybrid) Reporting to: VP of Engineering The Team: 2 Data Scientists, 1 Data Engineer IntelliAM is an intelligent asset management company specialising in industrial IoT data. We ingest high-frequency factory and sensor data, apply machine learning techniques, and present high value actionable insights to analysts and customers. We are building a cutting-edge UNS aligned Industrial IoT data platform with a highly scalable architecture to handle our next phase of growth. We require a delivery-focused technical lead to own the data engineering domain, re-architect and build our pipelines from the ground up, and mentor a small but talented team. You will not be maintaining a legacy system; you will be architecting the new one. You will take ownership of the data flows within the platform, designing a robust architecture that supports both real-time operational views and deep historical analysis. Primary Objectives (First 6–12 Months) • Re-platforming: Own the redesign and rebuild of the data transformation layer (post-event bus) in Databricks. Move from ad-hoc scripts to software engineering standards (CI/CD, testing, modular code)., • Modelling Implementation: Support the implementation of the “Unified Name Space” (UNS) across the data estate, to include schema and path standardisation; machine hierarchies and semantic relationships; and methodologies for validation and processing of data against contracts., • Enablement: Establish a stable data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team., • Mentorship: Upskill the existing team in good practices (dbt, git workflows, SQL optimisation, data modelling)., • Pragmatic Architect: Capable of making trade-offs between “academic perfection” and “business value”. They must align architecture to the 80/20 rule., • Technical Authority: Comfortable discussing and constructively challenging architectural decisions with the Head of Software and VP of Engineering. Must be able to justify changes to the core architecture and challenge existing thinking., • Mentor vs. Manager: Willing to sit and pair-program with junior engineers. They should measure their success by the team’s outcomes, not simply their own. A full “Team Manager” is not required; this is not a pastoral-focused hire., • Business Translator: Able to explain to non-technical stakeholders why changes are required, and what their impacts may be. Similarly, the ability to provide a bridge between technical approaches and limitations, and business requirements., • Industrial / IoT Context: Highly desirable. You should be comfortable with the chaotic nature of sensor data, time-series continuity, and the physical reality of the machines we are modelling., • Alternative: Experience in high-volume data systems that face similar challenges (duplicated or missing data, spiky load, variable schemas, etc.) would be beneficial., • Advanced Data Engineering: Proven experience building data platforms on Azure. You know Databricks inside out – not just how to write a notebook, but how to architect a Lakehouse, manage clusters, and optimise costs., • Data Modelling Proficiency: You understand that data engineering is more than moving JSON blobs. You have strong opinions on schema design, data standardisation, and ideally have worked with graph data or hierarchical models., • Code Quality: You treat data pipelines as software. You use git, CI/CD, and automated testing. You can teach these practices to a junior engineer., • Communication: You can explain to a business stakeholder why architectural decisions matter for their bottom line, and you can debate architectural trade-offs with Software Engineers., • Autonomy: You have the support of leadership to make architectural decisions. You aren’t fighting for permission to fix tech debt; you are being hired specifically to fix it., • Impact: Your work directly enables the Data Science team to stop cleaning data and start building better predictive models., • Modern Stack: We are moving toward a cutting-edge IIoT stack (UNS + Digital Twins), offering you the chance to work on industry-leading patterns., • 5 weeks paid annual leave, plus UK bank holidays, • Tax efficient stock options (subject to scheme rules and eligibility), • Workplace pension with employer contributions, in line with UK auto-enrolment legislation (subject to eligibility and scheme terms), • Salary Sacrifice EV Scheme (subject to eligibility), • Training and professional development opportunities This is a full-time role. Due to the collaborative and mentoring nature of this role, regular in-person attendance is required. The team collaborates in person from our Sheffield office twice weekly for planning, workshops and team development, providing valuable opportunities for mentoring, feedback and connection. We recognise the importance of flexibility and are open to discussing reasonable flexible working arrangements in line with business needs. If your background doesn’t exactly align with the job description, but you possess transferable skills or experience that could be a strong match, we encourage you to highlight this in a cover letter. We’re committed to personal growth as our company evolves, so if you’re excited to be part of that journey, we’d love to hear from you. We are an equal opportunities employer and are committed to creating an inclusive workplace. We welcome applications from all suitably qualified candidates regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Applicants must have the right to work in the UK. We will process your personal data as part of the recruitment process in accordance with applicable data protection laws. Please refer to our Recruitment Privacy Notice for further information on how we collect, use, and store candidate information. #J-18808-Ljbffr

Role: Data Engineer Location: Sheffield (Hybrid - 3 days a week) Employment: Fulltime We are looking for an experienced Azure Data Engineer to support the design, development and delivery of modern data platform solutions, with a particular focus on Microsoft Fabric migration and implementation. You will play a key role in delivering data engineering and migration activities, working closely with engineering teams and stakeholders to deliver high-quality, scalable and well-tested data solutions. The role requires strong technical expertise across Azure data technologies, alongside the ability to provide technical guidance, communicate effectively and contribute to successful delivery. Configure data ingestion processes and solutions. Lead the execution of Microsoft Fabric migration activities. Lead and guide migration engineers and QA resources. Develop Python, PySpark and Spark SQL code for data validation and curation within notebooks. Create data integration test cases and support testing activities. Implement and amend data processing and worker pipelines. Implement data validation and curation rules. Translate data models and mappings into detailed technical data mappings. Design and implement data integrations. Support the implementation and execution of data migration activities. Perform data analysis and profiling. Configure Azure DevOps / GitHub environments and CI/CD processes for Azure Data Factory and Databricks code. We are looking for candidates with: Strong experience designing and delivering Azure-based data platform solutions. Experience with technologies including: o Microsoft Fabric o Power Apps o Azure Synapse o Azure Data Factory (ADF) o Databricks o Azure Functions o Azure App Service o Logic Apps o Azure Kubernetes Service (AKS) o Web Apps Hands-on expertise in PySpark, SQL and Python. Good knowledge of real-time streaming applications, preferably including Kafka, Azure Functions or Azure Service Bus. Strong understanding of Spark processing and performance tuning. Experience working with file formats and partitioning, including Parquet, JSON, XML and CSV. Experience with Azure DevOps / GitHub and CI/CD. Strong programming experience in Python, with knowledge of other programming languages beneficial. Experience with both synchronous and asynchronous interface approaches. Knowledge of data modelling, including 3NF, dimensional modelling and Data Vault 2.0. Experience working within Agile delivery environments. Ability to produce comprehensive technical documentation. Ability to set and manage realistic expectations around timescales, costs, benefits and measures of success. Power BI experience is desirable. The role requires experience across the following skill areas: Data Engineering Software Design Analytics Data Management Data Modelling and Design Data Visualisation Database Design Release and Deployment Experience integrating and implementing data cataloguing tools such as Azure Purview / Collibra. Experience implementing and integrating visualisation tools such as Power BI or Tableau. Experience with C# application development, including ASP.NET MVC. #J-18808-Ljbffr

Experis Austria is seeking a Data Engineer to design, develop, and support scalable data solutions in Azure. You will work across the full software development lifecycle to build robust data pipelines and support production services. The ideal candidate has hands-on Python development, strong Azure cloud experience, and SRE/DevOps know-how, with a focus on data engineering and production reliability. Hybrid working in Sheffield, contract to Aug 2027. #J-18808-Ljbffr

They are undergoing a transformation of its Identity and Access Management practices including the delivery of a set of net new tools to overhaul how IAM is carried out in the industry. We are seeking experienced and dynamic DevOps Engineers who have a good understanding of cloud platforms and Identity Management including AWS, GCP and Azure, with a successful track record of working in complex global organisations at fast pace. The role will report to the Lead Architects and be part of a dynamic and highly skilled team. In this role, you will: Design, build, and maintain CI/CD. The DevOps Engineer will play a key role in delivering and operating enterprise Identity & Access Management (IAM) capabilities. This role is responsible for automating deployment, configuration, and lifecycle management of IAM platforms and integrations. The engineer will build and maintain CI/CD pipelines, implement infrastructure as code, and ensure secure, scalable, and reliable IAM services across the organisation. The position works closely with IAM architects, security engineers, platform teams, and application owners to support and deploy both cloud and on-prem IAM solutions. • pipelines for IAM components, policies, connectors, microservices, and integrations., • Enable automated testing, security scanning, and controlled deployments across DEV/TEST/PROD environments., • Implement continuous improvement to streamline IAM release processes., • Develop and maintain IaC (Terraform, Ansible for deploying IAM infrastructure, identity policies, directories, and supporting platforms., • Ensure consistent, repeatable environments and compliance with architectural standards., • Develop scripts and automation for account lifecycle operations, access provisioning, and system integrations., • Build and maintain CI/CD pipelines for .NET and configuration-based deployments (e.g., Azure DevOps/GitHub Actions/Jenkins)., • Automate environment provisioning and configuration using Infrastructure as Code (e.g., Terraform, ARM/Bicep) and configuration management (e.g., Ansible, DSC)., • Implement automated deployment patterns for IAM components:, • MIM rules extensions / services, • Scheduled jobs and supporting utilities, • Database changes (versioned SQL scripts, DACPAC where appropriate), • Support secure delivery practices: secrets management, least privilege, vulnerability remediation, and audit-ready controls., • Collaborate with L2/L3 teams to convert recurring incidents into automation and permanent fixes., • Embed security into the build and deployment process, including vulnerability scanning, secrets detection, and code quality checks., • Work with cybersecurity teams to ensure compliance with Zero Trust principles and IAM security policies., • Collaborate with IAM architects, security teams, and application owners on design and integration requirements., • Create and maintain documentation for pipelines, IaC, deployment patterns, and operational processes., • Infrastructure as code (Terraform & GCP Provisioning) Terraform core, GCP Infra, Policy as code, develop the capability to manage, maintain and write policies,, • Proven experience in a DevOps / SRE / Platform Engineering role supporting enterprise applications., • Strong hands‑on experience with CI/CD and source control (Git), including release pipelines and environment promotion., • Working knowledge of .NET build/release processes and dependency management., • Strong SQL Server experience for deployment automation and troubleshooting (schema changes, performance awareness)., • Strong experience with Visual Studio (2019/2022): building and troubleshooting solutions, MSBuild, test runners, • Scripting skills (PowerShell strongly preferred; Python desirable)., • Experience implementing monitoring/alerting and operational runbooks., • DevSecOps & platform security, security scanning, IAM and identity, network security, compliance, • Release engineering and governance, release ops, change management, documentation, • Regionalisation and compliance, regional deployments and failover, data residency, conditional access, • Experience with tools like GitHub, Jenkins, Ansible, Nexus, • Strong problem‑solving and troubleshooting capabilities., • Ability to work collaboratively across security, engineering, and operations teams., • Excellent communication and documentation skills., • Experience working in Agile/Scrum environments., • Experience of Privileged Access Management and identity access management, • Understanding and experience of technologies deployed at a large scale in a global IT enterprise, • Experience of working in an Agile team – managing workload in Jira and engagements in Jira Service Desk, • Ability to adapt and understand new technologies – being self‑motivated to learn, • Strong interpersonal, influencing, communication and report‑writing skills, • Ability to interact appropriately with users of various technical skill levels, • Ability to work in a multi country, culturally diverse and time‑zone separated role. #J-18808-Ljbffr

We are seeking an experienced Data Engineer with strong Python development, Azure cloud, and SRE/DevOps expertise to join a high-profile programme. This is not a pure SRE/DevOps position. We are looking for a candidate who is first and foremost a Software/Data Engineer, with hands‑on experience building and supporting modern cloud‑based data platforms and production environments. You will be responsible for designing, developing, and supporting scalable data solutions within Azure, working across the full software development lifecycle. The successful candidate will have experience building robust data pipelines, automating deployments, and supporting production services while driving reliability, performance, and operational excellence. • Strong Python software engineering capabilities, • Hands‑on Azure cloud and data engineering experience, • Experience building and maintaining data pipelines / ETL solutions, • Terraform and Infrastructure as Code (IaC), • CI/CD, Git, and automation tooling, • Linux administration and scripting (Bash and/or PowerShell), • Hands‑on SRE/DevOps and production support experience, • Kafka, Event Hubs, or Spark, • Cybersecurity experience, including SIEM/SOAR technologies You will be a Software/Data Engineer first, with strong Azure expertise and the ability to work across development, automation, and operational support. Candidates with a blend of Data Engineering, Cloud Engineering, and SRE/DevOps experience will be particularly well suited. Cybersecurity experience would be advantageous but is not essential. We are not looking for candidates whose experience is primarily focused on SRE, DevOps, Infrastructure, or Platform Engineering without significant software and data engineering expertise. #J-18808-Ljbffr

Work Type: Hybrid / Open for full-time & Contract At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. CSA are a unique and multi-skilled team of cybersecurity scientists, data and analytics professionals, and engineers. Our mission is to harness the power of data, analytics, AI/ML, and cybersecurity science to innovate and advance Client's cybersecurity capabilities. The Lead Cybersecurity Analytics Engineer will form part of the CSA Platform & Data Engineering Team, joining a global team of data technology professionals to deliver critical analytics engineering requirements for the strategic cybersecurity data lake and analytics platform. The position is a mid-senior technical, hands-on delivery role, requiring knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support. The Lead Cybersecurity Analytics Engineer role will work closely with Principal engineers within the Platform & Data Engineering Team, contributing to and coordinating data engineering, data acquisition, cloud infrastructure and platform engineering, platform operations, and production support activities using ground-breaking cloud and big data technologies. There is ample room for growth in the role, with opportunities to develop skills across multiple domains, starting from a strong foundation in one or more core technical areas e.g., data engineering or cloud infrastructure engineering. For this role, cybersecurity-specific knowledge is preferred but not essential. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. • Ingestion and provisioning of raw datasets, enriched tables, and/or curated, re-usable data assets to enable Cybersecurity use cases., • Driving improvements in the reliability and frequency of data ingestion including increasing real-time coverage., • Support and enhancement of data ingestion infrastructure and pipelines., • Designing and implementing data pipelines that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to our data platform., • Extract Translate and Load (ETL) workflows, using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow., • Identifying and onboarding data sources using existing schemas and, where required, conducting exploratory data analysis to investigate and determine new schemas. The successful candidate will be a student of the Google Site Reliability Engineering (SRE) philosophy as applied to managing large-scale cloud infrastructure, possess skills and experience within one or more of the following areas, and demonstrate a willingness to learn additional skills via certification and/or on-the-job learning where required. • Experience with SRE and Azure DevOps, • Ability to script (Bash/PowerShell, Azure CLI), code (Python, C#, Java), query (SQL, Kusto query language) coupled with experience with software versioning control systems (e.g., GitHub) and CI/CD systems., • Programming experience in the following languages: PowerShell, Terraform, Python Windows command prompt and object orientated programming languages., • Demonstrable experience of Linux administration and scripting (preferably Red Hat Systems), • Understanding of hardware and software principles and storage technologies (SSD, HDD, NVMe), CPU architectures, and Memory & Operating system principles (especially network stack fundamentals), • Understanding of network protocols and network design., • Data Acquisition, Cloud-based Data Pipelines (Azure preferred), • Data Transport and Data Cleaning, • Data Engineering pipeline automation, productionisation, and optimisation, • Designing, building, and maintaining data pipelines and ETL workflows across disparate datasets, • Dataset and Data Asset Curation, • Data Modelling and Cataloguing, • Database Architecture and Design, • Data Warehousing and Data Integration, • Real-Time Analytics Deployment for Large-Scale Datasets, • Applying data engineering methods to the cyber security domain., • Technical knowledge and breadth of Azure technology services (Identity, Networking, Compute, Storage, Web, Containers, Databases), • Experience with server, operating system, and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch), • Experience with Infrastructure-as-Code and Automation tools such as Terraform, Chef, Ansible, CloudFormation/Azure Resource Manager (ARM), • Streaming platforms such as Azure Event Hubs or Kafka, and stream processing services such as Spark streaming, • Experience with Security Information & Event Management (SIEM) and Security Orchestration, Automation & Response (SOAR) technologies, especially cloud based, is a significant asset. The successful candidate will possess: • Positive attitude, strong work ethic and passion for learning., • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field advantageous., • Bachelor’s degree in any Science, Technology, Engineering, or Medical (STEM) field accompanied with data, technology and/or programming experience also considered., • Applicants without a Bachelor’s degree will be considered if they have demonstrable career experience within one or more of the required areas and/or have relevant industry certifications in Cloud, Data, or Cybersecurity., • CSA are a supportive team who welcome candidates from diverse skills and educational backgrounds. Thus, candidates with transferrable skills gained through software development or any other technology background will also be considered., • Proficiency in programming languages such as Python, Java, C#, or similar preferred., • Experience operating in highly regulated industry, e.g., Financial Services advantageous., • Understanding of cybersecurity principles, global financial services business models, regional compliance regulations and applicable laws advantageous., • Understanding and knowledge of common industry cybersecurity frameworks, standards, and methodologies, including OWASP, ISO2700x series, PCI DSS, GLBA, Global data security and privacy acts, FFIEC guidelines, CIS, and NIST standards advantageous. #J-18808-Ljbffr

A leading asset management firm based in Sheffield is seeking a full-time Technical Lead in Data Engineering. You will architect new data flows, rebuild data pipelines, and mentor a growing team. Key responsibilities include leading the redesign of the data transformation layer and establishing data serving layers for real-time analytics. Ideal candidates will have proven experience in Azure and Databricks. The role requires regular in-person attendance twice a week for collaboration, offering a competitive benefits package including 5 weeks of annual leave and training opportunities. #J-18808-Ljbffr

Location: Sheffield or Birmingham (Hybrid) Function: Cybersecurity Science & Analytics An exciting opportunity has arisen for an experienced Senior Data Engineer to join a leading global financial services organisation's Cybersecurity Science & Analytics team. This specialist function combines data engineering, advanced analytics, AI/ML and cybersecurity expertise to build innovative security capabilities across one of the world's largest technology environments. You'll play a key role in developing and enhancing a strategic cybersecurity data lake and analytics platform that supports critical security operations at scale. As a Senior Data Engineer, you will be a hands-on contributor within the Platform & Data Engineering team, responsible for delivering robust, scalable and secure data engineering solutions. The position offers exposure across data engineering, cloud infrastructure, platform operations and production support in a modern Azure-based environment. • Design, build and optimise cloud-based data pipelines and ETL workflows., • Integrate and manage data from a variety of internal and external sources., • Develop and maintain raw, enriched and curated datasets for cybersecurity analytics use cases., • Improve data quality, pipeline reliability, automation and platform scalability., • Enhance real-time data ingestion and processing capabilities., • Support cloud infrastructure, platform operations and production services within Azure., • Collaborate with senior engineering stakeholders to onboard new data sources, define schemas and perform exploratory data analysis., • Contribute to the ongoing evolution of a strategic cybersecurity data platform., • Strong experience in data engineering within large-scale enterprise environments., • Expertise in building and maintaining cloud-native data pipelines., • Experience working with Azure data services and cloud infrastructure., • Knowledge of ETL development, data modelling and data platform operations., • Strong problem-solving skills with a focus on automation and optimisation., • Ability to work collaboratively across engineering, analytics and cybersecurity teams., • Experience supporting production environments and operational platforms. This is a unique opportunity to help shape next-generation cybersecurity data and analytics capabilities on a global scale. You'll work with cutting-edge Azure, big data and automation technologies while developing expertise across multiple disciplines, including: • Site Reliability Engineering (SRE), • Cybersecurity Analytics For ambitious engineers looking to broaden their technical exposure and make a tangible impact within a large-scale cybersecurity environment, this role offers both challenge and long-term career growth. #J-18808-Ljbffr

The Cloud RTB WAF Engineer will work on the ECB Programme to deploy WAF solutions on all Bank domains and related names, covering internet-facing and internal web applications to meet regulatory requirements. Role is part of the Run The Bank team. Using the Agile framework, you will work closely with Global Business Teams for custom rules and exception handling, advise teams on false positive analysis and baseline policy updates. You will maintain communications with Vendor teams as well as the Bank Cloud Platform Leads. You will service existing and new requests for WAF, manage multiple requests, and coordinate with Change Teams and other stakeholders to ensure seamless implementation. DevSecOps support for maintaining automation pipelines and delivery work, identifying additional automation use cases for RTB to streamline processes. You will form key relationships with senior stakeholders from the Business, Cloud Teams, Compliance and Cyber, and work closely with Project Managers on early risk identification, status reporting, and escalation where required. • Work with the Run The Bank team and Global Business Teams for custom WAF rules and exception handling; perform false positive analysis and update baseline policies., • Maintain communications with Vendor teams and Bank Cloud Platform Leads; serve WAF requests and resolve service issues; coordinate with Change Teams and other stakeholders for seamless implementation., • Provide DevSecOps support for automation pipelines and identify additional automation use cases to streamline processes., • Engage with senior stakeholders across Business, Cloud, Compliance and Cyber; provide risk identification, status reporting and escalation as needed., • Extensive experience with Web Application Security log analysis, from a Cyber SOC/CSIRT background, aiming to become a WAF Engineering SME across CN WAF (AWS, Azure, GCP, Modsec) and Multi-Vendor WAF products (F5, Akamai, etc.)., • Strong experience with multiple WAF solutions for edge, cloud, and on-premises., • Strong experience with cloud services and their WAF controls (AWS, Azure, GCP)., • Strong understanding of web application security attack methods and mitigations., • Proficiency in WAF tuning and configuration with a solid foundation in web security principles., • Develop custom WAF rules and features to address gaps and enhance security., • Design and implement bespoke WAF processes and documentation with a thorough understanding of web security., • Analytical skills to align platforms with MVP and Baseline Configurations, leveraging deep knowledge of WAF functionalities., • Provide DevSecOps pipeline maintenance support for automation work., • Familiarity with IDAM protocols and access control for WAF management, backed by web security knowledge., • Understanding of HTTPS inspection, termination and certificate management., • Experience with rate limiting techniques and integration into security configs., • Experience with version control and update mechanisms for WAF solutions., • Ability to document platform and organizational logging options with security implications in cloud environments., • Experience interfacing with SOC during WAF-related security incidents., • General connectivity, network issue management and service management experience., • Attention to detail when analysing large data sets., • Excellent interpersonal and communication skills (written and verbal)., • Experience working in Agile or knowledge of its principles., • Experience on Information Security / Cyber Security / IT Security projects and Infrastructure projects is desirable. Kind Regards -- Senior Delivery Consultant Office: Email: • Mid-Senior level, • Contract, • Industries: Banking Referrals increase your chances of interviewing at Vallum Associates by 2x Location: Sheffield, England, United Kingdom Posted: 1 month ago #J-18808-Ljbffr

Caspian One is seeking a Cloud Infrastructure & Site Reliability Engineer in Sheffield on a hybrid contract. You will harden and operate an enterprise-scale Azure data platform, build landing zones, and support CI/CD with a strong emphasis on reliability and security.

Caspian One in the United Kingdom is seeking an experienced Senior Data Engineer to join its Cybersecurity Science & Analytics team, delivering robust data pipelines, scalable analytics and security-focused data platforms in a global financial services context. This hybrid role spans Sheffield or Bi

We’re working with a forward‑thinking organisation where data powers every decision and innovation. They’re looking for a Data Engineer who’s passionate about building scalable systems and shaping the future of data. Impact That Matters: Your work will underpin the insights and decisions that drive the business forward. End-to-End Ownership: From designing pipelines to optimising platforms, you’ll have the freedom to innovate. Continuous Growth: Work with cutting‑edge tools, collaborate across teams, and explore emerging technologies. • Design, develop, and deploy secure, scalable data pipelines., • Integrate data from internal systems, APIs, and third‑party platforms into unified warehouses or lakes., • Model data for consistency, accessibility, and reusability across the business., • Collaborate with analysts, scientists, and business leaders to deliver actionable insights., • Implement data quality checks, governance, and compliance with GDPR., • Explore new tools and lead migrations to modern cloud platforms like AWS, Azure, or GCP., • Proven experience as a Data Engineer or in a similar data‑focused role., • Strong skills in SQL and Python, plus ETL/ELT pipelines and data modelling., • Hands‑on experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery., • Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a bonus., • Knowledge of frameworks such as Airflow, dbt, Prefect, and CI/CD pipelines., • A collaborative mindset and the ability to translate technical concepts into business impact. Ready to make an impact? Apply now and help turn data into something extraordinary. We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you directly. We may contact you from time to time about other relevant roles. Your personal information will be securely held on our CRM system. Sheffield, England, United Kingdom Mid‑Senior level Full-time Information Technology #J-18808-Ljbffr

Join a high-performing Cyber Security Engineering team building the backend services, APIs and automation that support a large-scale cyber data platform. This is an excellent contract opportunity for a Software Engineer with 2-3 years' experience looking to develop their expertise across cloud, DevOps, Terraform and cyber security within a complex enterprise environment. • Build and support backend services and APIs, • Deliver cloud solutions across AWS and Azure, • Automate infrastructure using Terraform, • Develop and maintain CI/CD pipelines, • Support API integrations and platform services, • Work closely with security, data and platform engineering teams, • Java, C#/.NET or Python, • Terraform, • TDD/BDD, • SOLID principles and engineering best practices, • Kong or API Gateway experience, • Go and/or Python, • Databricks, Spark or Data Lakes, • DevOps or Cyber Security experience, • Work on business-critical cyber platforms, • Gain exposure to large-scale cloud engineering, • Develop skills across APIs, automation and DevOps, • Collaborate with experienced engineers in a highly technical environment #J-18808-Ljbffr

Work Pattern: Hybrid, client office 3 days p/w We are looking for an experienced Azure Data Engineer to support the design, development and delivery of modern data platform solutions, with a particular focus on Microsoft Fabric migration and implementation. You will play a key role in delivering data engineering and migration activities, working closely with engineering teams and stakeholders to deliver high-quality, scalable and well-tested data solutions. The role requires strong technical expertise across Azure data technologies, alongside the ability to provide technical guidance, communicate effectively and contribute to successful delivery. • Configure data ingestion processes and solutions., • Lead the execution of Microsoft Fabric migration activities., • Lead and guide migration engineers and QA resources., • Develop Python, PySpark and Spark SQL code for data validation and curation within notebooks., • Create data integration test cases and support testing activities., • Implement and amend data processing and worker pipelines., • Implement data validation and curation rules., • Translate data models and mappings into detailed technical data mappings., • Design and implement data integrations., • Support the implementation and execution of data migration activities., • Perform data analysis and profiling., • Configure Azure DevOps / GitHub environments and CI/CD processes for Azure Data Factory and Databricks code. We are looking for candidates with: • Strong experience designing and delivering Azure-based data platform solutions., • Experience with technologies including: Microsoft Fabric o Power Apps o Azure Synapse, • Hands‑on expertise in PySpark, SQL and Python., • Good knowledge of real‑time streaming applications, preferably including Kafka, Azure Functions or Azure Service Bus., • Strong understanding of Spark processing and performance tuning., • Experience working with file formats and partitioning, including Parquet, JSON, XML and CSV., • Experience with Azure DevOps / GitHub and CI/CD., • Strong programming experience in Python, with knowledge of other programming languages beneficial., • Experience with both synchronous and asynchronous interface approaches., • Knowledge of data modelling, including 3NF, dimensional modelling and Data Vault 2.0., • Experience working within Agile delivery environments., • Ability to produce comprehensive technical documentation., • Ability to set and manage realistic expectations around timescales, costs, benefits and measures of success. #J-18808-Ljbffr

Role Title: Cybersec Sciences & Analytics OpenSource Data Platform Solution Engineer Duration: contract to run until 10/08/2027 Location: Sheffield. Hybrid, 3 days per week onsite Rate: up to £533.60 p/d Umbrella inside IR35 Cybersecurity Sciences & Analytics (CSA) is a ~$50m and ~150 headcount function, bringing together expertise across cybersecurity, data science, AI, software and cloud engineering, governance, and programme management to: Deliver cyber analytics capabilities that measurably improve cyber prevention, control effectiveness, and the resilience of operations across the cyber lifecycle Engineer, automate, and continuously enhance cyber detection and response capabilities to enable effective, resilient, and scalable security operations Provide trusted Cyber risk, control, and regulatory insights that inform executive decision-making and investment prioritization Ensure cyber products, data, and bank-wide AI use cases comply with cyber risk appetite, regulatory requirements, and data standards, through effective data and AI governance Evolve Cyber analytics platforms, products, and engineering practices through a controlled maturity roadmap, to improve platform and operational resilience, efficiency, and sustainability without increasing risk This Technical Solution Engineer is a hands‑on architecture and solution design specialist in CSA's Strategy and Governance team. They shape and assure end‑to‑end technical designs that enable CSA's cyber analytics and engineering outcomes. They define and maintain key architecture artefacts (HLDs/LLDs, reference architectures, patterns, and ADRs). They also drive technology evaluation and standardisation across an open‑source, petabyte‑scale data platform. They own solution designs for custom cybersecurity applications, from requirements through to production support. Partnering with engineering, platform, and central architecture/governance teams, they run design and governance forums and influence without authority. They'll bring genuine cybersecurity expertise‑security controls, SSDLC, identity and access, encryption, logging, etc. so CSA's platforms and products can be trusted in production and stand up to regulatory scrutiny. They balance target architecture with delivery realities, collaborate across geographies, and contribute hands‑on when needed, including coding. The ideal candidate will possess a strong technical background, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast‑paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. • Define and maintain architecture artefacts, including HLDs/LLDs, reference architectures, patterns, ADRs (Architecture Decision Records), and reusable templates., • Contribute to the design and evolution of a petabyte‑scale data platform built on open‑source technologies., • Evaluate technologies and drive standardisation: assess OSS components and vendors, run PoCs, document trade‑offs, and promote reusable patterns to reduce fragmentation., • Own the end‑to‑end solution design for custom‑built applications that support the Bank's cybersecurity ambition., • Provide architecture and design input to software engineering and platform teams to support implementation and delivery., • Partner with central architecture and governance teams to ensure solutions align with the Bank's controls, policies, standards, and guardrails., • Help ensure solutions remain compliant, operationally supportable, and within agreed cost boundaries. Strong team player, able to collaborate effectively with colleagues across geographies, time zones, and cultures. Excellent written and verbal communication skills, with the ability to explain complex technical topics clearly. Able to influence without authority; confident facilitating design workshops and governance forums. Strong prioritisation and pragmatic decision‑making, balancing target architecture with delivery realities. Comfortable designing solutions end‑to‑end, while also able to roll up sleeves and contribute hands‑on (including coding where needed). • Demonstrable experience designing, deploying, and operating big data platforms at scale., • Hands‑on experience with big data platforms, • Knowledge of cloud platforms and traditional on‑premise hosting; hands‑on experience with Azure, AWS and/or GCP is beneficial., • Proven security architecture expertise is beneficial, including:, • Threat modelling and secure‑by‑design practices, • IAM (RBAC/ABAC), privileged access concepts, and service‑to‑service authentication, • Encryption in transit/at rest, key management, secrets management, • Secure logging/telemetry, auditability, and evidence‑driven control assurance, • Secure SDLC, vulnerability management, and dependency/supply‑chain risk controls, • Proven experience delivering end‑to‑end solution designs, from requirements through to production operations and support. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! #J-18808-Ljbffr

Get AI-powered advice on्टthis job and more exclusive features. Direct message the job poster from Net2Source (N2S) About Us: Net2Source Inc. is one of the fastest growing diversification‑certified global workforce solutions companies with an unprecedented YoY growth of over 100% for the last 6 years, working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and the Middle East. Job Title: Machine Learning Engineer Location: Sheffield, UK Mode of Work: Hybrid (2 Days Onsite in Week) Tesla Type: Fixed Term Employment (FTE) Project Duration: 12್ಥ Months (Possible Extension) • Mandatory: Machine Learning – AIOPS, • Good to Have: Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI – LLMOps, RPA – Microsoft Power Automate, Deep Learning – AIOPS, Reinforcement Learning – AIOPS, • Strong experience in Document AI Intelligent document processing using traditional models and Generative AI, particularly with open‑source models to achieve business outcomes., • Experience delivering production-ready solutions in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR; all additional positives., • Experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex or equivalents., • Experience delivering safe code to production focusing on cybersecurity and resilience of the application and APIs., • Experience using PostgreSQL for data storage and management., • Proficiency with Azure’s core services like Azure Virtual Machines, Azure CLI, Azure Kubernetes Service (AKS), and Azure DevOps., • Experience releasing to production in teams at a high cadence., • Build production‑ready models to drive content extraction and classification from images and text‑based sources., • Work closely with business teams to understand requirements and iteratively design and develop solutions., • Collaborate with product managers and technical teams: create tests, iterate new and existing products and features., • Design and build Python MLOCR‑based components, supporting the product development lifecycle including deployment, testing and production support of the application., • Seniority levelasz: Mid‑Senior level, • Employment type: Full‑time, • Job function: Information Technology, • Industries: Staffing and Recruiting Referrals increase your chances of interviewing at Net2Source (N2S) by 2x #J-18808-Ljbffr

ManpowerGroup in the United Kingdom is seeking a Software Engineer to join a Strategic Engineering team within Cyber Security in Sheffield. This role focuses on production-grade back‑end services, APIs, tooling, and automation for enterprise security and data platforms. You'll work hands-on across cloud environments (AWS/Azure), Infrastructure as Code with Terraform, and CI/CD, applying modern DevOps and SRE practices to improve reliability and performance. #J-18808-Ljbffr

HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid. Our vision is to make work accessible and people’s lives better.We do this by disrupting traditional employment barriers –connecting ambitious talent to flexible opportunities with trusted brands. Anticipated Contract End Date/Length: December 31, 2026 Work setup: Hybrid (3 days per week in office) Our client in the Information Technology and Services industry is looking for a Senior Database Engineer to provide hands-on database administration and engineering support within an enterprise environment. The role will focus on supporting high-volume transactional systems, database performance, availability, monitoring, backup and recovery, and disaster recovery across major relational database platforms. What you will do: • Administer and support enterprise database environments across Oracle, SQL Server, PostgreSQL, or other major RDBMS platforms., • Support high-volume transactional database systems within complex enterprise environments., • Implement and maintain high availability and disaster recovery technologies, including RAC, AlwaysOn, replication, and clustering., • Perform SQL development and database performance tuning to optimize system performance., • Monitor database environments using tools such as OEM, Dynatrace, Splunk, and Prometheus., • Support databases running in Linux and Unix environments., • Implement and maintain backup and recovery strategies and tools., • Support Payments, Liquidity, or Core Banking systems where applicable., • Contribute to cloud database initiatives across GCP, AWS, or Azure environments., • Develop scripting and automation solutions using Python, Shell, Ansible, or Terraform., • Apply DevOps practices and support CI/CD pipelines., • Implement data security practices and support regulatory requirements within banking environments., • Troubleshoot database issues and provide technical solutions to maintain system reliability and availability., • Bring 10+ years of hands-on DBA experience, ideally within enterprise environments., • Possess strong expertise in at least one major RDBMS, such as Oracle, SQL Server, or PostgreSQL., • Bring experience supporting high-volume transactional systems, ideally within payments, banking, or financial services., • Possess knowledge of HA/DR technologies, including RAC, AlwaysOn, replication, and clustering., • Demonstrate strong SQL and database performance tuning skills., • Bring experience with database monitoring tools such as OEM, Dynatrace, Splunk, or Prometheus., • Possess familiarity with Linux and Unix environments., • Bring a strong understanding of backup and recovery strategies and tools., • Possess experience with Payments, Liquidity, or Core Banking systems as a preferred qualification., • Bring exposure to cloud platforms such as GCP, AWS, or Azure and cloud-native databases., • Possess scripting and automation skills using Python, Shell, Ansible, or Terraform., • Bring an understanding of DevOps practices and CI/CD pipelines., • Possess knowledge of data security and regulatory requirements within banking, including FCA and PRA requirements. Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship. HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements. We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted. HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law. #J-18808-Ljbffr

Undisclosed is seeking an experienced Data Engineer to design, develop, and support scalable data solutions within Azure. The role requires strong Python development, hands‑on Azure cloud expertise, and SRE/DevOps experience to drive reliability, performance, and operational excellence across data

Junior AI Engineer / Machine Learning Engineer – no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Newto Training's AI Engineer Career Programme is designed to help aspiring professionals gain the qualifications, practical experience and support needed to secure their first role in the industry. Whether you're looking for a complete career change, returning to work, leaving the Armed Forces, or seeking a future-proof career, we'll help you build the skills employers need. This is a self-funded programme that leads to employment, fees apply. How Our Career Programme Works: Four industry-recognised certifications (exam voucher and exam resit support included): ·Microsoft Azure AI Fundamentals (AI-901) ·Microsoft Azure Data Fundamentals (DP-900) ·CompTIA Data+ ·CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme, we guarantee a starting salary of up to £40,000. Who Is This Programme For? This programme is designed for individuals with little or no previous experience. You may be: Looking for a career change A recent school, college or university leaver Currently working in another industry Leaving the Armed Forces Interested in technology and problem-solving The most important qualities are a willingness to learn, good communication skills and a genuine interest in changing your career. This is a self-funded programme that leads to employment, fees apply. Our Job Guarantee Successfully complete the programme and meet the agreed career support requirements, and we guarantee you'll receive a job offer within 6 months . If not, we'll refund 100% of your course fees. Full T&Cs available. Ready to Start Your New Career? Click ‘Apply Now' to speak with an Advisor and take the first step towards a rewarding career in one of the UK's fastest-growing sectors. TPBN1_UKTJ

We are looking for a hands‑on Senior IT Infrastructure Engineer to join our Infrastructure & Operations function, supporting and evolving our European technology environment. This is an opportunity to take ownership of a broad hybrid infrastructure estate spanning Microsoft Azure, Microsoft 365, identity, Windows and Linux servers, virtualisation, enterprise networking, backup and disaster recovery. You will play a key role in maintaining secure, resilient and reliable IT services while contributing to major infrastructure transformation programmes, platform modernisation, automation and continual service improvement. • Cloud, Microsoft 365 & Identity: Administer and secure Azure, Microsoft 365, Entra ID and Active Directory services, supporting cloud governance, identity management and access controls., • Server & Virtualisation: Maintain Windows and Linux servers, core infrastructure services, VMware and Hyper-V environments, ensuring platform reliability, security and performance., • Backup & Disaster Recovery: Manage and improve backup and recovery solutions, including Veeam and Rubrik, supporting disaster recovery testing, immutable backups and cyber resilience., • Infrastructure Transformation: Contribute to infrastructure migrations, data centre modernisation, platform upgrades, site consolidation and hybrid cloud initiatives., • Automation & Monitoring: Develop scripts and automation using PowerShell and other tools, while improving infrastructure monitoring, endpoint management and operational efficiency., • Networking & Security: Support enterprise networking, firewalls, endpoint security, vulnerability remediation and privileged access management., • Incident Management & Service Improvement: Troubleshoot complex technical issues, contribute to major incident resolution and root‑cause analysis, and identify opportunities to improve service reliability., • Documentation & Collaboration: Maintain technical documentation and operational procedures, collaborate with internal teams and suppliers, and share knowledge to strengthen infrastructure standards and team capability. If you have any of the below skills, we would love to talk to you about your next career move: • Strong hands‑on expertise across Azure, Microsoft 365, Entra ID, Windows Server, Active Directory and core infrastructure services, with experience in VMware and/or Hyper-V, server, storage and hybrid data-centre environments., • Strong enterprise networking and firewall troubleshooting skills across multi-vendor environments, with the ability to lead complex incidents, deliver root‑cause analysis and collaborate effectively with suppliers and internal stakeholders., • Relevant certifications in Microsoft, Veeam, VMware, Hyper-V, Linux, networking, security or automation are advantageous. #J-18808-Ljbffr