Role Description We are seeking an experienced Security Identity and Access Management Specialist to support the delivery of a secure, scalable and interoperable data-sharing infrastructure that allows organisations in different sectors to manage and exchange information securely while maintaining control over their own data. - Working across multiple workstreams, responsible for leading the design of security, identity and policy enforcement capabilities. - Focus on federated identity, Attribute-Based Access Control (ABAC), policy-as-code and secure data discovery and access. - Work closely with architects, governance leads, developers and stakeholders to translate business, risk and policy requirements into secure, scalable and practical technical solutions. - Support a major public-sector organisation delivering a large-scale digital transformation programme. Qualifications - Proven security architecture experience on complex federated enterprise solutions. - Strong knowledge of federated identity, trust frameworks (e.g. Zero Trust) and IAM. - Strong understanding of cloud, API and distributed system security. - Practical experience with OAuth2, OpenID Connect, SAML and SCIM. - Practical experience designing ABAC and policy-based access control solutions. - Practical experience with Open Policy Agent and policy-as-code solutions at scale. - Practical experience HMG security assurance (e.g. NCSC Cyber Assessment Framework). - Ability to produce high-quality architecture and security design documentation. - Ability to translate complex security concepts for technical and non-technical audiences. - Comfortable working with ambiguity and shaping emerging requirements. Requirements - Experience with federated data-sharing platforms or data ecosystems. - Ontologies, semantic data models or knowledge graphs. - Public sector, regulated industry, critical infrastructure or federated ecosystem solutions. Role and Responsibilities - Design security Non-Functional Requirements. - Lead on service wide threat modelling. - Define and implement ABAC and policy-as-code approaches using Open Policy Agent. - Define patterns for discovery, access requests, policy enforcement and auditability. - Design integration with identity providers, IAM platforms and node-level services. - Support testing, validation and pilot activities to ensure consistent policy enforcement. Applications To learn more about this newly created opportunity consulting as a GDS-focused Security Identity and Access Management Specialist / Architect for an initial 6-month engagement, operating on a remote-working basis; please call and speak with Edward Laing here at ISR Recruitment on 07436 071 872 or please send through a copy of your latest online profile and/or CV (edward@isr.uk.com) for an immediate call back in the strictest confidence.

Role Description As a Databricks Genie Engineer , you will be the driving force behind building next-generation conversational data interfaces. Your primary focus will be designing, implementing, and scaling intelligent, natural-language data assistants using Genie . You will bridge the gap between complex enterprise data warehouses and business users, enabling them to query databases using natural language. This role is a hybrid of cutting-edge Generative AI engineering and robust Data Engineering within the Databricks Lakehouse ecosystem. Key Responsibilities - Databricks Genie & Conversational AI Development (Core Focus) - Genie Space Architecture: Design, configure, and maintain high-performing Databricks Genie Spaces tailored to complex business domains. - Semantic Layer & Curation: Curate the semantic metadata, SQL queries, and golden instructions that guide Genie to ensure highly accurate, deterministic SQL generation. - Testing & Fine-Tuning: Proactively test, benchmark, and fine-tune Genie responses to handle complex business logic, edge cases, and multi-turn conversations. - Integration & Feedback: Connect Databricks Genie endpoints to custom web interfaces/external UIs and implement feedback loops to continuously improve accuracy. - GenAI & Data Engineering Support - Data Pipelines & Spark: Build and optimize data pipelines using Python, SQL, and PySpark to ensure data in Delta Lake is perfectly structured and optimized for Genie's consumption. - GenAI Orchestration: Utilize LLMs on Databricks for metadata enrichment, automated data labeling, and semantic optimization. - Collaboration & Implementation - Business Translation: Act as a translator between business users (understanding what questions they ask) and the data platform (structuring schemas so Genie can answer them easily). Qualifications - MUST HAVE - 4+ years hands-on experience with the Databricks ecosystem, with specific focus on Databricks Genie (or equivalent Text-to-SQL/semantic-layer work), Unity Catalog, and Databricks SQL/Workflows. - Expert-level SQL skills (writing complex, performant queries) and experience structuring data (star schemas, gold tables, views) to be "Genie-ready." - Strong experience in writing clean, production-grade Python code. - Strong understanding of Text-to-SQL paradigms, prompt engineering, semantic routing, and RAG architectures. - Proficiency in Apache Spark (PySpark) for data transformation and orchestration. - Experience working with REST APIs to integrate GenAI endpoints into external applications. - NICE TO HAVE - Manage model lifecycles and deploy endpoints utilizing the broader Databricks AI suite (MLflow, Databricks Model Serving). Soft Skills - Strong attention to detail, especially when auditing Genie's generated SQL for business accuracy. - Ability to communicate effectively with business stakeholders to understand their language and translate it into semantic data models. - Enthusiasm for keeping up with the rapid pace of Databricks and GenAI product updates. Benefits - Cooperation Models: - Poland: Available via Employment Contract (UoP) or B2B. - Romania/ Greece: Available via B2B only. - 100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece. - High-End Tech: Apple MacBook Air M4 15" provided to all engineers. - Referral Bonus: Bonus for bringing other top-tier engineers to the team. - Professional Growth: - Certification Support: Coverage for all Databricks technical certifications. - Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track. - Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership. - Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution. Recruitment Process - Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations. - Technical Interview (60 min): Deep dive into your technical skills with our engineering team. - Optional Client Interview: Required only in specific cases. - Decision & Offer: We aim to close the process and provide feedback efficiently.

• Lead the architecture and design of enterprise Data & AI platforms supporting analytics, reporting, machine learning, and AI-driven business capabilities. • Define scalable data architecture, governance, security, and operational frameworks for modern cloud-native platforms. • Partner with business and technology stakeholders to identify and prioritize data modernization, AI, and automation opportunities. • Architect and guide implementation of AI, Generative AI, and Agentic AI solutions leveraging enterprise data assets. • Establish architecture standards, best practices, and technology roadmaps across data engineering and AI initiatives. • Provide technical leadership and mentorship to engineering, platform, and AI teams.

• Diseñar, desarrollar e integrar soluciones sobre Oracle SOA Suite y Oracle Service Bus. • Garantizar la disponibilidad, estabilidad y rendimiento de las aplicaciones empresariales del cliente.