239 jobs found

Staff Platform Engineer - AI Salary: £90,000 - £100,000 Location: London Hybrid Data Idols are partnering with a leading UK retailer embarking on a significant AI transformation. They are looking for a Staff Platform Engineer - AI to design and build the secure, scalable platform capabilities that will underpin enterprise AI adoption across the organisation. This role sits at the heart of a major technology transformation, offering the opportunity to build the cloud-native platforms, shared services and engineering foundations that will power the next generation of AI products and intelligent applications. The Opportunity As a Staff Platform Engineer, you'll combine deep technical expertise with platform leadership, designing and delivering reusable cloud-native capabilities that enable AI at enterprise scale. You'll take ownership of complex technical challenges, building secure, high-performance platform services, APIs and integrations that accelerate the development of modern AI applications. Working closely with Architecture, Product and Engineering teams, you'll define engineering standards, influence platform strategy and ensure AI workloads are scalable, resilient and production-ready. This is a highly hands on role where you'll help shape the core platform that enables engineering teams to deliver AI solutions faster, more securely and more consistently. Skills & Experience Strong experience designing and building cloud-native platforms on Azure Commercial experience with Databricks, Azure AI services, APIs and integration technologies Expertise developing scalable platform architecture and reusable engineering capabilities Experience supporting modern AI workloads, including LLMs, RAG and AI-powered applications A passion for technical leadership, engineering excellence and building platforms that enable teams to deliver at scale

Requisition ID31464-Posted -London-Janus Henderson A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity As a Senior Engineer within Platform Engineering, you will lead the design, build, and evolution of our Internal Developer Platform (IDP), enabling consistent, secure, and scalable software delivery across the enterprise. This role combines DevOps engineering, platform architecture, and developer experience enablement, with a strong focus on CI/CD transformation (Azure DevOps to GitHub), platform tooling, and data platform integration (Snowflake, Databricks). You will act as a subject matter expert (SME) across DevOps tooling, automation, and platform reliability-driving best practices, standardisation, and self service capabilities for engineering teams. Design, build, and evolve enterprise platform services to support the Internal Developer Platform (IDP) and enable scalable, secure, and self service engineering environments. Lead DevOps transformation initiatives, including migration from Azure DevOps to GitHub, and implement standardised CI/CD pipelines, reusable workflows, and release automation frameworks. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, Bicep, or similar tools to provision and manage cloud infrastructure. Deliver and optimise cloud native platforms on Azure (primary), ensuring scalability, resilience, and cost efficiency. Act as SME across DevOps tooling, including GitHub (Actions, Advanced Security), Nexus (artifact management), and Veracode (application security), embedding security controls into pipelines and platform services. Enable and support DevOps practices for core data platforms, including Snowflake and Databricks, covering environment provisioning, CI/CD integration, and access control models. Implement observability frameworks, including monitoring, logging, and alerting, and contribute to SRE practices such as SLIs/SLOs, reliability engineering, and incident management. Embed security and compliance standards into all platform components, ensuring auditability, policy enforcement, and alignment with enterprise governance requirements. Drive developer experience improvements through platform standardisation, self service tooling, templates, and AI enabled capabilities (e.g., Copilot, intelligent automation). Collaborate with Architecture, Cloud COE, SRE, and engineering teams to deliver consistent and governed platform capabilities across the organisation. Mentor junior engineers and contribute to technical leadership, standards definition, and engineering best practices. What to expect when you join our firm Hybrid working and reasonable accommodations Excellent Health and Wellbeing benefits including corporate membership to Wellhub Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Bachelor's or master's in computer science, Engineering, or related field 6+ years of experience in platform engineering, DevOps, or infrastructure roles Strong experience with cloud platforms (Azure preferred) Proficiency in containerisation (Docker, Kubernetes) Hands on with CI/CD tools (GitHub, Azure DevOps, GitLab CI) Experience with IaC tools (Terraform, Pulumi, Ansible) Strong experience in DevOps, Platform Engineering, or Infrastructure Engineering roles within enterprise environments Proven expertise in CI/CD pipeline design, automation, and standardisation using GitHub (Actions, Advanced Security) and Azure DevOps, including migration from ADO to GitHub Deep hands on experience with Infrastructure as Code (Terraform, Bicep or equivalent) and automated cloud provisioning Strong knowledge of Azure cloud platform, including compute, networking, identity, and security services Experience implementing DevSecOps practices, including integration of SAST/DAST tools (e.g., Veracode), secrets management, and secure pipeline execution Expertise in artifact management (e.g., Nexus) and modern DevOps tooling ecosystems Experience enabling Internal Developer Platform (IDP) capabilities, including self service provisioning, reusable templates, and platform standardisation Solid understanding of software development lifecycle (SDLC), release engineering, and environment lifecycle management Experience working with data platforms (Snowflake and/or Databricks), including CI/CD integration, environment provisioning, and access control models Strong knowledge of containerisation and cloud native technologies (Docker, Kubernetes) Experience with observability and monitoring frameworks (e.g., Azure Monitor, Prometheus, Grafana) and understanding of SRE practices (SLIs/SLOs, reliability engineering) Strong scripting/programming skills (Python, PowerShell, Bash) and automation mindset Good understanding of security, networking, RBAC, and Zero Trust principles in cloud and DevOps environments Exposure to AI enabled developer tooling (e.g., GitHub Copilot, intelligent automation) and improving developer experience Experience operating in regulated, enterprise scale environments with strong focus on governance, auditability, and compliance Strong communication, collaboration, and stakeholder management skills, with ability to act as a hands on SME and technical leader Nice to have skills Certifications in cloud technologies or Kubernetes. Experience building or contributing to an Internal Developer Platform (IDP) Familiarity with service mesh, API gateways, and platform observability tools Knowledge of FinOps, cost optimisation, and cloud governance Solid programming skills (Python, Go, or Java) Strong understanding of networking, security, and system architecture Experience building or contributing to an Internal Developer Platform (IDP) Exposure to AI enabled development (e.g., GitHub Copilot, automation workflows) Knowledge of FinOps, cost optimisation, and cloud governance Relevant cloud or Kubernetes certifications Supervisory responsibilities No Potential for growth Regular training Continuing education courses Cross functional collaboration You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at . Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career pagehere . Janus Henderson Investors is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities . click apply for full job details

Ataccama is the agentic data trust company. Organizations worldwide rely on Ataccama ONE, the agentic data trust platform, to ensure data is accurate, accessible, and trusted for every decision and system. Powered by the ONE AI Agent, Ataccama ONE brings autonomy to data quality and governance, continuously monitoring, improving, and explaining the reliability of data across complex enterprise and multi-agent environments. At the core of the platform is Ataccama's market-leading data quality, with modules built around it to unify data quality monitoring, catalog, lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence. Recognized as a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality and positioned furthest in Completeness of Vision, Ataccama continues to set the standard for enterprise-grade data trust. Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values: Challenging Fun ONE Team Customer Centric Candid and Caring Aim High As a Solution Architect you own the end-to-end solution design for strategic Ataccama customers across EMEA & APAC - translating business requirements into scalable, high-performance designs on the Ataccama ONE platform, and acting as the technical authority across delivery, presales, and customer success. Your Challenge Own the overall solution design for your assigned customers - from initial architecture through ongoing iteration across the customer journey. Translate business requirements into scalable, high-performance designs on the Ataccama ONE platform, aligned to industry best practice. Act as the technical authority on architectural guidance, solution design, and agreed deployment patterns for your accounts. Support presales on complex POCs/PoTs and early solution scoping, and customer success on health checks, risk mitigation, and issue resolution (firefighting). Build reusable best practices, accelerators, and robust documentation, and enable the wider Services and presales teams. Partner closely with Product and Engineering - staying close to roadmap and releases and feeding back customer-driven requirements. Is this you? Passionate about data management and AI-driven innovation, and energised by solving complex enterprise challenges. Experienced in customer-facing technical roles - solution architect, technical consultant, or services presales. A trusted advisor who can simplify technical topics for business stakeholders and lead workshops with confidence. Proactive and self-driven, with a strong sense of ownership - you make things happen without waiting to be told. Comfortable running several engagements simultaneously, with excellent organisation and attention to detail. Excellent written and verbal English, and willing to travel occasionally. Based in the UK (preferred) or wider EMEA, with eligibility to work in the region. Your must-have skills 5+ years in a customer-facing technical or architecture role within data management. Hands-on expertise in Data Quality, MDM, and/or Data Governance tooling, ideally in complex, diverse enterprise environments. Strong data management foundations - relational databases, data warehouses and lakes - with an advanced level of SQL. Strong logical/conceptual data modelling and solution design skills. Experience with cloud platforms (AWS, Azure, or GCP). Exposure/experience in XML and SOAP/REST/JSON. Bonus knowledge Experience in regulated industries such as Financial Services, Insurance, or Life Sciences. Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks & Benefits Long-Term Incentive Program 5 sick days and 25 days of vacation, with the option to request additional Enhanced Time-Off days when needed The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family Pension plan "Bring Your Friend" referral program Flexible working hours & hybrid work setup Health insurance provided by Vitality Online courses & company access to Udemy to hone your skills Conference tickets to the best industry events of the year Cycle to work scheme Work equipment Company laptop Company mobile phone At Ataccama, our core values are Candid & Caring, so we are upfront about our process and details that are important to you. We sometimes use AI tools to help us with things like reviewing applications, taking notes from screening conversations, scheduling interviews, or supporting assessments. These tools make the process smoother and fairer - but don't worry, they never make the final decision. Every hiring decision is made by our Talent Acquisition Partners and Hiring Managers, with AI only acting as a helpful assistant. We believe technology should support the process, not replace the human touch. We currently use AI-assisted tools - Metaview for interview notes and Lever Talent Fit to help highlight key experience. While we highly value cooperation with all our business partners, we don't accept unsolicited resumes from any sources other than directly from a candidate. We reserve the right not to pay any fee for sending an unsolicited offer containing the details or resume of a job candidate, even if the relevant candidate is employed by our company.

Enterprise Data Architect London (4 days onsite 1 working from home) Up to 120,000 + Benefits I'm working with an organisation investing heavily in its data capability and looking to appoint an experienced Enterprise Data Architect to lead the design and evolution of its enterprise-wide data landscape. This is a senior strategic position where you'll work closely with technology and business leaders to shape data architecture, define standards and ensure the organisation has a scalable, secure and future-ready data platform. You'll play a key role in modernising existing data environments, designing cloud-based solutions and driving best practice across data governance, modelling and analytics. Key responsibilities Define and develop the enterprise data architecture strategy. Design scalable data warehouse, lakehouse and cloud data solutions. Establish data governance, quality and architectural standards. Work closely with senior stakeholders to align technology with business objectives. Lead architecture decisions across data platforms, integration and analytics. Identify opportunities to simplify existing platforms while improving scalability and performance. Evaluate emerging technologies and recommend improvements to the wider data estate. What we're looking for Extensive experience in Enterprise Data Architecture or a similar strategic data leadership role. Strong background designing enterprise-scale cloud data platforms. Experience with Azure, Databricks and modern data architecture principles. Strong understanding of data modelling, governance and data quality frameworks. Experience delivering large-scale data transformation initiatives. Knowledge of technologies such as SQL, PySpark, Snowflake, Kafka and modern BI platforms including Power BI or Tableau. Excellent communication skills with the ability to influence senior technical and business stakeholders. This is an opportunity to join an organisation where data is a strategic priority and where you'll have genuine influence over the future direction of its data architecture.

Lead Data Engineer As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. Your responsibilities will include: Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution. Focusing on hands on design and development, using open source and commercial platforms. Defining and enforcing development best practice and coaching team members to ensure consistency. Working with project architects, taking responsibility for non functional needs of ETL/ELT data processing pipelines such as robustness and performance. Taking responsibility for standards and execution of unit and integration testing done within the team. Taking responsibility for software product due diligence and integration. Leading troubleshooting and tuning of activities. Working with Operations teams to ensure the application software is operationally ready. Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys. Contributing to technical proposals as part of the sales process. Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You'll also provide direction for your team as you solve problems together Minimum (essential) requirements: Experience of leading a team of engineers in the implementation of data intensive system components Experience of applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply and clearly communicate technical design both written and verbally Proficient in designing analytical and operational data models A keen interest in AI technologies Desirable: Comfortable with Data Warehouse methodsandtechniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/or technology communities Practical experience with AI technologies, tools, processes and delivery Who you are: Our vision is to enable outstanding people to create digital solutions that have a positive impact on people's lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture. About us Kainos is a high growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients.

Exciting opportunity for a Solution Architect with strong Databricks, AI and Azure experience to join a World Leading Energy Trading company and work on the Solution and Data Architecture of a new AI Platform. Must have strong experience in Azure, Databricks, Enterprise Architecture and AI based Code development, ideally gained from working with a large Trading/Financial organisation. Roles and Responsibilities: Primarily an individual contributor but can be responsible for a small team. Main scope of work is to provide solution architecture development, consultancy and assurance to projects, making sure applications are well designed and conform to company standards and reference/segment architectures. Translates the guidelines and standards into practice and solves common technical challenges and provides technical recommendations which have a perceptible impact on local business performance; actively drives the identification, development and implementation of new technologies and opportunities to optimise technology/IT systems. Contributes to the training and guidance of other professionals in the field. May represent the Company externally as a subject matter expert with suppliers, customers and external agencies. Empowered to make decisions on solutions within guidelines. Applies TOE standards and raises step-outs if needed. Applies the standard architecture tools for creating and storing key architecture artefacts (IBM System Architect, PowerDesigner and/or ProVision); fosters re-use. Manages the relation with a customer base on senior levels of business leadership. Understands the IT Strategic Roadmap and applies within the context of their organisational assignment. Uses the related reference architectures and roadmaps for Cloud, Mobile, Integration, OpenSource, Big Data, etc. Mandatory skills: Strong experience in Azure, Databricks, Enterprise Architecture and AI based Code development Energy Trading is a big plus but any Trading or Financial Services experience will be suitable Strong stakeholder management, pro-active communication, engage across teams Strong communication skills (written and verbal), communicate viewpoints and decisions using content appropriate for the audience Business skills, apply industry sector knowledge, establish linkage between business

Job TitleSenior Data Engineer EMEAJob Description SummaryAbout the teamWe are a Centre of Excellence within a larger EMEA team, with deep specialization in data engineering. Our mission is to build the platform that defines how our organization wins in the age of AI, the solution that will be used globally. We are in the middle of a transition: from a team that writes code to a team that orchestrates AI to write, test, and operate code on our behalf.About the roleYou will help us build that future. This is a hands on senior engineering role with significant influence on the technical direction of the platform. You will work directly with the team lead and a group of analytical engineers who push each other to stay at the frontier of what is possible.Job DescriptionWhat you will work onDriving the shift from a code writing team to an AI orchestration team. This means building agentic workflows that handle data engineering tasks and CI/CD, designing semantic models for downstream consumption, and implementing an AI Gateway for governance.Stewarding our AI amplified Databricks based framework, maintaining it and improving it incrementally as we learn.Designing data models that bring sources from anywhere in the world into a single coherent shape.Building data solutions for domains like custom MDM, geocoding, client mastering, and profiling. Real estate context is a plus but not required.Designing and implementing stable, automated ingestion pipelines from diverse sources.Owning production troubleshooting and root cause analysis. When things go wrong, you diagnose and resolve pipeline failures, performance issues, and data quality problems by working through code, logs, and documentation systematically.Reporting on data quality and shipping the improvements that move the numbers.What we are looking forCore technical skillsSystems thinking. You see the bigger picture and build for scale rather than for the ticket in front of you.Production troubleshooting and root cause analysis. You diagnose and resolve pipeline failures, performance issues, and data quality problems under pressure, working through code, logs, and documentation systematically rather than guessing.Data modeling. You design cross functional data products, establish data contracts, and handle complex business rules.Advanced SQL, including window functions, query optimization, and MERGE/UPSERT operations.Python and PySpark. You write reusable, parameterized functions and work comfortably with JSON, CSV, and Parquet.Platform knowledgeDeep experience with Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration).Familiarity with the Azure ecosystem.Working understanding of Unity Catalog.About youAround 6 or more years of relevant experience.A degree in a quantitatively rigorous field such as computer science, data science, econometrics, mathematics, or physics.Driven and curious. You want to work on things that have not been figured out yet.Strong written communication. Async updates and clear documentation are part of the job.Nice to haveAdvanced Spark optimization (broadcast joins, salting, partitioning strategies).Geospatial data processing (H3 indexes, spatial SQL, point in polygon at scale).Recursive CTEs and complex SQL patterns.Infrastructure familiarity (Azure Portal, resource management, CLI).Strong Git workflows and code review habits.Real estate domain experience.What we offerAutonomy. We set the high level roadmap. You decide how to get there.Dedicated learning time and a team that levels each other up. The frontier moves weekly. We give you the time to keep up with it, and you will be surrounded by people doing the same.A growth path. The team is growing and its role in how the company operates is growing with it. There is real room to expand your scope.A solid technical foundation. The architecture, standards, and best practices are already in place. You build on top, not from scratch.Why join Cushman & Wakefield?As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organization committed to Diversity and InclusionWe're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.We have a vision of the future, where people simply belong.That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, color, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.Cushman & Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor's attention once they have made contact.INCO: "Cushman & Wakefield"

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on LinkedIn and X. We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems - regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early - while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We're looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there's a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You'll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You're a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You're familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You're comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You're open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here. Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Why You'll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization - Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication - Expect open decision-making and regular company-wide updates. Innovation-Driven - Autonomy and support to ship great work and try new things. Open Source Roots - Built on community-driven values that shape how we work. Empowered Teams - High trust, low ego culture that values outcomes over optics. Career Growth Pathways - Defined opportunities to grow and develop your career. Approachable Leadership - Transparent execs who are involved, visible, and human. Passionate People - Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital . click apply for full job details

Principal Architect Tech Lead FreightApplylocations: London - Shell Centretime type: Full timeposted on: Posted Todayjob requisition id: R204366, United Kingdom Job Family Group: Information Technology (IT) Worker Type: Regular Posting Start Date: July 21, 2026 Business Unit: Projects and Technology Experience Level: Experienced Professionals Job Description: What's the role The Principal Architect Tech Lead Freight will be the "Technology Leader" for T&S on how we deliver a T&S-wide Freight Trading / Operations set of platforms, including the platforms that support the vetting and assurance of maritime vessels. This role will own the architecture designs and roadmaps and be the Engineering leader supporting the delivery of the architecture vision. What you'll be doing Key Accountabilities: Work with the Enterprise Capability teams to provide consistency across the technical landscape Develop and maintain the target state landscape vision Keep abreast of external developments in architecture and engineering, both in the enterprise and the wider industry Provide consultancy for benchmarking of the portfolio against external practice; along with externalization efforts to keep a highly visible external perspective Actively influence the definition of the IDT strategy for their area and the planning of investments with their architecture and engineering insight Ensure the business value of IT solutions is maximized by applying knowledge of the business needs and opportunities, the existing portfolio of IT applications, and the current and emerging technology Act as the line manager for the solution architects under this area, along with resourcing staff and/or contracts to have the right capacity to deliver the outcomes Act as the activity manager for the engineering resources Provide engineering thought leadership in partnership with other engineers. Drive and unblock the technical delivery of solutions to achieve expected business outcomes. Own engineering delivery, technical assurance, and fit-for-purpose tools/processes. Act as an escalation point for any engineering blockers that need to be taken to the wider enterprise. Promote a high-tech performance culture based on competitiveness, continuous improvement, reuse, technical excellence, and assurance. Proactively address technical risks and resolve vulnerabilities to ensure solutions meet quality and security standards. Ensure software engineering standards are met. What you bring Technically savvy with excellent business domain skills, and a broad understanding of the Freight Trading (Veson IMOS/Endur), Voyage Management (Veson IMOS), Post Delivery Event (Claims, Quality, Demurrage, etc), Vetting/Assurance (GMAS and MIS Marine) capabilities and supporting technology (Azure), data (Azure ADLS, Databricks) and integration (ADF, Kafka) platforms. Business domain knowledge of freight trading, voyage operations, post-delivery events and vetting/assurance Practical experience in both TOGAF and C4 design and modelling practices Strong strategic thinker, able to develop and articulate a vision and direction in complex organizational and (IDT) technical situations in response and support to business strategy. Proven track record of IT management experience leading Architecture or Engineering teams What we offer You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself. Progress as a person as we work on the energy transition together. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from flexible working hours, and the possibility of remote/mobile working. Perform at your best with a competitive starting salary and annual performance related salary increase - our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programmes.We'd like you to know that Shell has a bold goal: to become one of the world's most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click hereShell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments (e.g. assistive technology, communication support, any other) during the application or interview process, please let us know directly via . We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs. Shell in The United Kingdom Shell UK remains one of the North Sea's biggest producers, supplying around 10% of the UK's total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.Shell is a vital contributor to the UK, supporting energy security, jobs and economic value. We provide energy to fuel homes, hospitals, schools, vehicles, machinery and factories. Our history here dates back over 125 years. A UK-headquartered global energy leader, and leading FTSE multinational, we are active across the country's energy system.In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.- DISCLAIMER: Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

We are looking for ahands-on AI Solution Architect to design, build, and productionize scalable Agentic AI solutions across enterprise platforms. This role requires deep technical expertise combined with strong architectural thinking and engineering rigor. Key Responsibilities StrongPython expertise with provenproduction engineering experience Extensivehands-on experience designing and building agentic AI systems, includingmulti-agent orchestration (beyond simple chatbots) Hands-on experience withLLM guardrails,cost optimization, andmodel evaluation frameworks Deep understanding and implementation experience in:RAG architecturesVector storesEmbeddingsPrompt and response evaluation Strongengineering hygiene with experience in:Automated testingCI/CD pipelinesObservability & monitoringCorrelation IDs and tracingContainerization withDocker Ability todesign end-to-end AI solutions, making architectural trade offs across performance, cost, security, and scalability Skill Requirements Strong understanding of STD-Cell circuit design fundamentals, including CMOS logic gates and standard cell architectures. Experience with EDA tools such as Cadence Virtuoso, Spectre, and HSPICE for schematic capture, simulation, and layout editing. Good familiarity with semiconductor process technologies and design rules. Ability to prepare technical documentation and specifications for design flows. Experience in troubleshooting circuit performance issues using simulation and debug tools. Other Requirements Knowledge ofLLM design patterns such as:Function callingTool usageExperience withAzure services, including:App ServicesKey VaultLogic AppsAzure Container RegistryExperience withDatabricks,Delta Tables, and large-scale data processingFamiliarity withLLM gateways (Kong or similar API gateways)Knowledge of analytics and visualization stacks:Power BI Semantic Models / DAXSnowflake / DenodoFrontend frameworks likeReact At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in Llandudno, North Wales in a hybrid setting, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels. Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic and interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing performance where it matters. Partner with data analysts, data scientists, and other end users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share work and best practices; collaborate with others; ensure alignment to company growth ambitions. Qualifications and Experience Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains. Previous experience designing, building and maintaining data transformations in a system or product setting. Ability to write secure and performant code in Python and SQL, and to optimize queries and data pipelines. Experience using orchestrators and ETL tools, especially Airflow. Significant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or vector. Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture). Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD. Enthusiastic attitude towards learning and ability to adapt to new challenges or changes in direction. Preferred: Knowledge of DevOps and DataOps best practices. Preferred: Kubernetes deployment experience. Preferred: Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks. RESTful API / GraphQL. Infrastructure as Code. Previous experience building web applications with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Why work with us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing - Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme. Flexible Private Medical & Dental care programmes. Bank Holiday Swap - change a holiday for another day of your choice. Relaxed dress code policy. Equal Employment Opportunity We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Create a brighter future for yourself while taking on some of the world's most complex geoscience challenges.

Apply now Job no: 564963 Work type: Full time Site: Redditch Categories: IT Location: Worcestershire About us Halfords is on a journey - building the future of motoring and cycling and looking for people who want to help shape what comes next. We're a place for cocreators: people who want to make a real impact, take ownership and be part of something that's still evolving. Technology at Halfords is at a turning point. We're modernising our foundations, sharpening our delivery, and ensuring every technology decision is connected to real commercial and customer outcomes. We're looking for people who act as trusted advisors to the business, take end-to-end accountability for outcomes, and can balance pace with long-term architectural integrity. Innovation here means practical, scalable solutions, not ideas that stay on whiteboards. About the role As Data Architect within our Technology Architecture function, you'll step into a newly created role at a pivotal point in our data journey. Data has previously sat outside formal architectural governance; this role brings strategic direction and clear guardrails as it becomes central to the organisation. With a major Customer Data Platform and a multi year ERP programme ahead, you'll shape the data architecture from the ground up rather than inherit an existing blueprint. Day to day, you'll define and govern the enterprise data architecture, chair the Data Design Authority, and set technical direction across Azure Fabric, Data Lake, Databricks, Informatica MDM, and Salesforce Data Cloud. Working closely with the Head of Data Governance, you'll ensure standards are embedded in delivery. This is new ground rather than a finished product, so strong Databricks and Azure expertise, strategic thinking, and the appetite to build something with real commercial impact are essential. Key responsibilities Define and own the enterprise data architecture strategy, principles, and roadmap, ensuring a coherent target state across analytics, operational, and customer data domains Chair and lead the Data Design Authority, providing architectural decision-making, assurance, and risk management across data initiatives Provide architectural guardrails and technical direction to the Director of Data and Analytics and associated delivery teams, ensuring solutions align to enterprise standards across Azure Fabric, Data Lake, Databricks, Informatica MDM, and Salesforce Data Cloud Lead the architectural design and governance of the key technology and data programmes, bringing proper structure and ownership to this area of the function Drive adoption of modern cloud-native data practices, embedding DataOps, automation, and CI/CD approaches to improve resilience, scalability, and delivery pace Ensure security, privacy, and regulatory compliance is embedded by design across all enterprise data architecture patterns and platform capabilities Line manage the Platform Architect for Data, working in close partnership with the Head of Data Governance to ensure architectural standards are embedded in practice About you Demonstrable experience defining and governing enterprise data architecture within a complex, multi-domain organisation, with strong hands on Databricks and Azure stack experience is essential Proven track record shaping and implementing data architectures on Microsoft Azure data platforms, including Fabric, Data Lake, and Databricks Deep expertise in data modelling, enterprise integration patterns, and master data management, including platforms such as Informatica MDM and Salesforce Data Cloud Experience establishing and leading architectural governance forums or design authorities, with the confidence to set standards and hold teams to them Demonstrated leadership capability, including line management and development of architecture or platform specialists Able to translate complex data architecture into clear commercial outcomes, influencing senior stakeholders and supporting strategic investment decisions Comfortable working in an environment that isn't yet fully formed, with the initiative to build something well from the ground up A fair and competitive salary evaluated against market data, car allowance, annual discretionary bonus scheme, pension, life assurance, 25 days annual leave plus bank holidays and enhanced family leave. Commitment and dedication to your ongoing personal and professional development. We help you to own and grow your potential so you can be at your best in your current role and to support your future career aspirations. We offer hybrid working with a blend of working in our Support Centre and from home. You will have access to a wealth of employee discounts across the Halfords suite of products and services. Wellbeing and inclusion are at the heart of our colleague experience. We offer resources and ongoing support to enhance your wellbeing at work and active Colleague Networks supporting inclusion initiatives across Halfords. Not sure you meet all the criteria? We'd encourage you to take the wheel and apply anyway! At Halfords we are committed to creating an inclusive workplace for our colleagues. We're an equal opportunities employer and proud to welcome applications from all backgrounds and embrace diversity within our one Halfords Family. Advertised: 29 Apr 2026 GMT Daylight Time

We are looking for a Solution Architect within our Data & AI Practice to partner with clients and drive transformative change using the latest AI and data technologies. The role requires a client centric approach, delivering high value business outcomes through strategic solutioning, architectural leadership, and collaborative consulting. Key Responsibilities Work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts. Play a key role in the sales process by creating solutions that innovate, inspire, and win new business. Shape high level design, estimates, and contractual details for client proposals in collaboration with subject matter experts. Provide coaching and mentoring to junior colleagues within and across the organization. Translate complex technical concepts into easy to understand language and value based outcomes for senior business stakeholders, technology leaders, and internal sales teams. Engage in early conversations with clients and sales teams, support origination and deal qualification, capture requirements, solution, recommend best practices, and build strong relationships to become a trusted advisor. Prepare and represent solutions in Deal Reviews, and participate in client presentations and negotiations with key buyers. Work collaboratively with Data & AI leadership to shape current and future offerings, accelerators, and background IP to support go to market activities. Lead development of intelligent data platform projects: integrate data from multiple systems, transform through lakehouse architectures, and make data available for reporting, AI, and conversational analytics. Maintain awareness of channels to market and the ability to work within the Databricks and Microsoft ecosystem to ensure customer success. Exhibit high energy and intent to help clients understand the fast moving data industry, product and service evolution. Experience working with stakeholders to create technical visions, high level architectures, and delivery roadmaps for large programs involving the latest data and AI concepts, particularly focusing on scaling data use across enterprises. Capable of creating design artifacts and presenting them for approval at architectural forums attended by multi disciplined stakeholders from engineering to senior client executives. In depth understanding of modern Data & AI capabilities such as structured and unstructured data analysis, streaming data, IoT, AI, GenAI, and related analytics fields. Comfortable engaging and leading sales and business development opportunities with clients. Qualifications Hold Databricks certifications, ideally the Databricks Champion or equivalent knowledge and experience. Strong experience in AI engineering, data platforms, reporting, and self serve analytics. Experience designing and delivering large enterprise data platforms using Databricks and Azure services. Proven ability to influence C level clients and lead solutioning conversations. Excellent communication and presentation skills. Ability to coach and mentor junior teammates. Deep understanding of agentic AI and automation.

Ready to architect the technology backbone behind a fast-growing organizationin Birmingham? Our client is seeking a Data Platform Architect to design and lead a modern enterprise data platform that powers critical business decisions across hundreds of locations. This is a unique opportunity to blend architecture, hands-on development, AI innovation, and executive collaboration while building systems at a significant scale. C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future. Benefits & Extras Opportunity to architect enterprise-wide data and integration platforms Highly visible role partnering directly with executive leadership Hands-on influence over AI-driven engineering initiatives and automation Fast-growing organization with large-scale technical challenges Hybrid work environment in Birmingham, AL Annual bonus opportunity Collaborative team focused on innovation and modern technologies Compensation $115,000 - $140,000 base salary + bonus eligible What You'll Be Doing Define and lead the target-state architecture for enterprise data platforms Design data ingestion, storage, modeling, governance, and serving solutions Build and support event-driven systems utilizing APIs, CDC, messaging platforms, and Kubernetes Drive AI-assisted engineering and development automation initiatives Establish data quality standards, governance, and security controls Lead architecture reviews and mentor engineering teams Translate business objectives into scalable technical roadmaps What You'll Need to be Considered Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms Production-level development experience in Python and/or Go Experience designing event-driven architectures utilizing REST, Kafka, NATS, or CDC Experience operating workloads within Kubernetes environments Ability to drive AI-assisted engineering initiatives and platform strategy