data engineer

data scientist

senior software engineer

senior data scientist

senior data engineer

snowflake data engineer

NTT DATA

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
 
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
 <ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
 <ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

Snowflake

<div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Solution Engineer dedicated to one of Snowflake's most strategically important healthcare customers. This is a named-account role: your entire focus will be a single global healthcare organisation, whether a payer, provider, life sciences company, or health technology platform. You will own the full technical relationship, drive use case expansion across the organisation's clinical, operational, and research functions, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high visibility role with global scope and direct exposure to Snowflake's leadership.
AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL:
<ul><li>Own the end-to-end technical relationship for a single strategic Global Account in healthcare, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion
</li><li>Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the account's clinical, operational, and research data priorities
</li><li>Design and lead proof of concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation
</li><li>Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/FHIR) into practical, production-ready Snowflake solutions
</li><li>Partner closely with the Account Executive and leadership as the sole technical owner of the account, co-developing the joint success plan and ensuring technical alignment across every active opportunity
</li><li>Serve as the primary internal advocate for the account within Snowflake, coordinating across Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption
</li><li>Mentor and support junior Solution Engineers on the team, elevating the technical standard of the global accounts practice</li></ul>
OUR IDEAL SENIOR SOLUTION ENGINEER WILL HAVE:
<ul><li>8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology, with significant exposure to healthcare or life sciences customers
</li><li>Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation
</li><li>Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions live Proficiency in SQL, Python, and data engineering tools commonly used in healthcare environments (dbt, Spark, or equivalent)
</li><li>Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, CMIOs, and CIOs at large healthcare organisations
</li><li>Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships within a single strategic enterprise account</li><li>
Experience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in a healthcare context, including data privacy and compliance considerations</li></ul>
BONUS POINTS FOR THE FOLLOWING:
<ul><li>Direct experience working within or selling to health systems, payers, life sciences companies, or health technology platforms
</li><li>Hands-on experience with Snowflake including Cortex AI, data sharing, Snowpark, and Native Apps Familiarity with healthcare interoperability standards (HL7, FHIR, OMOP) and regulatory frameworks (HIPAA, GDPR)
</li><li>Experience with real-time or near-real-time clinical and operational data pipelines in regulated environments
</li><li>Background in data governance, de-identification, or privacy-preserving analytics relevant to healthcare compliance requirements
</li><li>Prior experience in a dedicated named-account or strategic account SE role, where your sole focus was one customer</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</div>

Staff Software Engineer - Snowhouse

Hayfin Capital Management

<div>We are hiring a Full-Stack Engineer to help build the analytics workbench applications that supports analysis and decision-making across our business.
Hayfin is a global alternative asset manager with deep expertise in credit and a broad alternatives platform, partnering with institutional investors worldwide. Reporting directly to the Director of Portfolio Analytics, you will take ownership of our growing in-house analytics workbench - working across the full stack, shaping how the business uses data, and coordinating with a small offshore vendor team to keep delivery on track. It's a hands-on role for someone with a strong track record shipping enterprise software, who wants to bring that experience to a small, fast-moving team that's actively rethinking how it builds, using AI as part of the day-to-day workflow.
What you'll do<ul><li>
Build and maintain the analytics workflow app, using Angular on the front end and Python (FastAPI) on the back end, writing clean, well-tested code that's easy to support and extend.</li><li>
Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely.</li><li>
Coordinate an offshore vendor team: setting priorities, assigning work, reviewing output, and tracking hours and spend.</li><li>
Use AI coding assistants as part of daily development work, and look for ways to improve how the team builds, tests, and ships software.</li><li>
Work directly with the Director of Portfolio Analytics and business stakeholders, turning requirements into working software and explaining technical choices in plain language.</li></ul> 

Requirements 
<ul><li>
8+ years building and managing enterprise-grade software, including experience working across offshore/onshore vendor teams.</li><li>
8+ years with Python, including pandas and NumPy; 5+ years building APIs with FastAPI; 5+ years with Angular and UI libraries such as Material or Bootstrap.</li><li>
Experience hosting and managing applications on Azure, and building solutions on Snowflake.</li><li>
Hands-on, day-to-day experience using AI coding assistants as part of a development workflow.</li><li>
A clear communicator, comfortable working directly with non-technical stakeholders.</li><li>
Financial services experience (asset management, banking, or fintech) is a plus, as is experience in a small, fast-moving analytics or engineering team.</li></ul></div>

Senior Software Engineer

ATG Entertainment

<div><div><div><ul><li><h4 class="jobSectionHeader">Salary</h4>
Competitive
</li><li><h4 class="jobSectionHeader">Hours</h4>
40
</li><li><h4 class="jobSectionHeader">Type</h4>
Permanent - Full Time
</li><li><h4 class="jobSectionHeader">Closing Date</h4>
04-09-2026 at 23:59
</li><li><h4 class="jobSectionHeader">Location</h4>
ATG Entertainment
 
London
 
Greater London
 
WC2H 8AF</li><li> 
<ul><li>No Files
</li></ul></li></ul></div><div></div><div>Data Architect 
You'll report to the Head of Data, with a dotted line to the IT Director, and work closely with the Principal Data Engineer, the Data Engineering Manager, the Head of Pricing Analytics and the Data Products Manager. You'll also engage directly with commercial, marketing, and finance stakeholders, and with IT, Legal, Infosec and the wider architecture community across ATG Entertainment.
Data is at the centre of how ATG Entertainment runs its business. Our Global Data Platform (GDP), built on Snowflake, centralises ticketing, marketing, financial and operational data. It underpins how we price seats, run marketing campaigns, support our venues, and make strategic decisions across 64 venues in multiple countries.
We're looking for a Data Architect to own the data architecture behind some of our most important commercial decisions: how tickets are priced, where marketing investment goes, how demand is forecast and how shows are traded. You will define the models, definitions, keys, and data contracts those decisions depend on, so that pricing, marketing measurement, forecasting, and trading are built once and run off the same numbers.
You will work towards a single, coherent target state for commercial data: consistent models, definitions and contracts across systems and markets. You will evolve that architecture alongside live delivery, ensuring each design decision either moves ATG towards the target state or is a deliberate, documented exception with a clear path back.
You will design across markets. ATG trades in the UK, the US and Europe, and each market has its own systems, operating models, and regulatory requirements, and adopts common standards at a different pace. You will define the architecture that holds across all of them, and the integration patterns that let regional systems conform to the global model over time.
The breadth of data is wide. It covers consumer and digital data, including web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback. It covers the financial data our commercial models need, including budgets, forecasts, sales, and revenue actuals, which you will architect into commercial data products while Finance remains the owner of Finance reporting. Where enterprise and operational systems hold data that explains ATG's commercial performance, such as event and venue scheduling, retail point of sale and customer service, you will support enterprise and solutions architecture on the data design, so that it can be integrated into the commercial data model to the same standard.
You will design for regulation, security, and cost from the outset. Consumer and marketing data is subject to UK and EU GDPR, PECR and US state privacy laws including California (CCPA/CPRA), so classification, consent, minimisation, retention, deletion, and cross-border transfer are design decisions rather than a final review step. You will work with Legal and Information Security to make compliance a property of the architecture.
We are building towards data that machines can use as reliably as people, starting with GenBI, where commercial users can ask questions in natural language and receive trusted answers. You will design the definitions, models, metadata and contracts that make this possible, together with the access patterns that determine what each consumer can see, at what grain, and how data may be used for recommendation or operational action.
Our Principal Data Engineer owns the technical architecture of the GDP itself and its engineering standards. You own the architecture of the data that moves through it: its models, definitions, keys, metadata and contracts, and the design of the data behind commercial decisions. This is a design, standards, and authority role with strong hands-on architecture. You will set the standard, produce the documentation others build from, review designs against it, and provide architecture assurance before engineering build begins. 
Key responsibilities
<ul><li>Own and maintain the target data architecture for ATG's commercial data, including the transition from current to target state.
</li></ul><ul><li>Define common business entities, definitions, hierarchies, and keys, so commercial products carry consistent meaning across markets and source systems.
</li></ul><ul><li>Architect the data behind pricing, revenue management, marketing measurement, forecasting and trading, including model inputs and outputs, and how decisions and outcomes are recorded and measured.
</li></ul><ul><li>Design the consumer and digital data model spanning web and app behaviour, advertising and campaign data, CRM and customer data platform flows, identity, and customer feedback, keyed so that behaviour, marketing investment, and sales can be joined.
</li></ul><ul><li>Architect the financial data commercial models need, including budgets, forecasts, sales, and revenue actuals, working with Finance and maintaining clear ownership boundaries for Finance reporting.
</li></ul><ul><li>Define and govern data contracts for integrations with the GDP and other agreed priority systems, covering ownership, fields, keys, formats, quality expectations, refresh, and change management.
</li></ul><ul><li>Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read and write-back.
</li></ul><ul><li>Embed data protection and security into the architecture, including consent, retention, minimisation, and cross-border requirements across ATG markets.
</li></ul><ul><li>Produce and maintain conceptual and logical data models, data flows, lineage, architecture decision records and reusable design patterns, documented at the level needed by both engineering teams and commercial stakeholders.
</li></ul><ul><li>Support enterprise and solutions architecture where operational or enterprise systems provide data needed for commercial decision-making, ensuring it integrates into the commercial model to the required standard.
</li></ul><ul><li>Design how each market and new system conforms to the common data standard, while making the cost implications of design options visible so choices are made commercially.
</li></ul><ul><li>Provide architecture assurance across delivery: review designs, challenge where needed, approve designs for build, and represent Data in cross-team architecture forums. 
</li></ul>Your skills, qualities, and experience 
Leadership Qualities
<ul><li>Self-directed and proactive &mdash; you identify problems, drive work forward and communicate progress without being prompted.
</li></ul><ul><li>Comfortable operating as a senior individual contributor, leading through expertise and influence rather than hierarchy.
</li></ul><ul><li>Able to set and uphold standards under delivery pressure without becoming a bottleneck.
</li></ul><ul><li>Able to influence teams and stakeholders across organisational boundaries.
</li></ul><ul><li>Able to explain architecture decisions to commercial leaders in terms of what they enable, constrain and cost.
</li></ul>Technical Expertise
<ul><li>Strong conceptual, logical, and physical data modelling, including dimensional and event-based approaches over high-volume transactional data.
</li></ul><ul><li>Modern cloud data platforms and ELT patterns, with sufficient depth in warehouse, lake and lakehouse architectures to review and challenge platform designs.
</li></ul><ul><li>Integration design across API, event, streaming and batch patterns, and the data contracts that govern them.
</li></ul><ul><li>Practical proficiency in SQL, Python, and transformation tooling such as dbt, sufficient to prototype and review what engineering teams build.
</li></ul><ul><li>AI-fluent, with practical experience of AI tooling and an understanding of machine-readable definitions, agent access patterns, and Model Context Protocol (MCP) over structured data.
</li></ul>Essential
<ul><li>Hands-on design of data for commercial decisioning, including pricing or revenue management and marketing measurement, with deep capability in at least one and strong exposure to the other.
</li></ul><ul><li>Strong data architecture in a commercial environment where data directly informs revenue and trading decisions, not just reporting.
</li></ul><ul><li>Consumer, digital and transactional data at scale, including strong web and app analytics architecture with hands-on GA4 experience, connecting customer behaviour, marketing investment, and sales outcomes.
</li></ul><ul><li>Common definitions, entities, and keys established across multiple source systems and teams, including where systems cannot fully conform.
</li></ul><ul><li>Data contract design and governance across both data-producing and data-consuming teams.
</li></ul><ul><li>Data design for ML, AI or automated decisioning, including feature and serving data patterns, point-in-time correctness, controlled access, and capture of decisions and outcomes.
</li></ul><ul><li>Privacy and security by design across more than one jurisdiction, treated as architectural constraints from the outset.
</li></ul><ul><li>Multi-market or multi-region architecture across differing systems, currencies, languages, and regulatory requirements.
</li></ul><ul><li>Architecture practice across a complex technology estate, including current and target state views, architecture decision records, and reusable design patterns, with the ability to influence teams and uphold standards across organisational boundaries. 
</li></ul>Desirable
<ul><li>Live entertainment, ticketing, travel, hospitality, retail, or another business where price, demand and inventory interact dynamically.
</li></ul><ul><li>Customer data platforms, identity resolution, consent and preference management, mobile measurement platforms, and paid, affiliate or social advertising data.
</li></ul><ul><li>Enterprise application and integration architecture alongside a data platform.
</li></ul><ul><li>Operational and venue systems, including point of sale, event and venue scheduling, and work management platforms.
</li></ul><ul><li>Experimentation, model monitoring, and feedback-loop design.
</li></ul><ul><li>Platform migration or estate consolidation.
</li></ul><ul><li>Snowflake and AWS, with exposure to model development or serving environments such as SageMaker or Snowflake Cortex. 
</li></ul>About Us 
Our values
ATG Entertainment&rsquo;s values set the tone for how we work, how we treat one another, and the culture we continue to build across the UK and the wider organisation. 
<ul><li>THRIVE doing what we love (with passion and dynamism) 
</li></ul> 
<h4 class="jobSectionHeader">Closing Date</h4>
04-09-2026 at 23:59</div></div></div>

Data Architect

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h1 class="jobSectionHeader">Forward Deployed Engineer &mdash; Agentforce Orchestration
</h1><h3 class="jobSectionHeader">About the Role
</h3>As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop.
Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers , you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one.
<h3 class="jobSectionHeader">What You'll Actually Be Building
</h3><ul><li>Workflow &amp; Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO , defining agent reasoning, tool-calling logic, and conditional execution loops.
</li><li>Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
</li><li>Enterprise AI Grounding Systems: Architect, build, and maintain real-time data grounding infrastructure using RAG (Retrieval-Augmented Generation) , vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
</li><li>Enterprise Integration &amp; API Management: Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
</li><li>AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
</li><li>Telemetry &amp; Observability: Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
</li><li>Field-to-Product Feedback: Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.
</li></ul><h3 class="jobSectionHeader">Required Qualifications
</h3><ul><li>3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
</li><li>High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
</li><li>Hands-on AI &amp; Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
</li><li>Multi-Agent Systems &amp; API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
</li><li>Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
</li><li>Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
</li><li>Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
</li><li>Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
</li><li>Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
</li><li>Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
</li><li>Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
</li><li>Willingness to travel 25-30% for on-site deployment with key enterprise accounts.
</li></ul>Preferred Qualifications
<ul><li>Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
</li><li>Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
</li><li>Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
</li><li>Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Agentforce Operations FDE

AXIS Capital

<div>This is your opportunity to join AXIS Capital &ndash; a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.
At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.
All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.
Job Description: Actuarial Engineer
How does this role contribute to our collective success?
This is your opportunity to join AXIS Capital &ndash; a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk-taking and superior risk-adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined, and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. To support our growth objectives at AXIS, we are investing significantly in our Pricing &amp; Exposure Management systems.
This position is for an Actuarial Engineer in the Reinsurance and Enterprise Risk, Pricing &amp; Modelling Systems department which is responsible for the development and maintenance of AXIS&rsquo; reinsurance as well as enterprise-wide pricing, modelling and exposure management systems and applications. You will be providing your experience, expertise, critical thinking, and creativity to help evolve the Actuarial and Exposure Management ecosystem in new and innovative ways while collaborating as part of a dynamic and agile team.
As part of a global team, you will be working with highly experienced talent across different time zones to enhance existing solutions and develop new ones to deliver and integrate capabilities across pricing and exposure management. In your role as actuarial engineer located in our London office you will closely collaborate with the actuarial pricing and exposure management teams and play a key role in developing AXIS&rsquo; next-generation pricing and exposure management systems
What will you do in this role?
As an Actuarial Engineer you will be involved in and lead the development of applications for pricing and exposure management.
Responsibilities include:<ul><li>
Implementing and maintaining actuarial methodologies and modelling algorithms</li><li>
Enhancing, maintaining, and supporting existing modelling applications Interacting with actuaries, exposure managers and an analytical oriented user group for requirements gathering Interact with IT professionals</li><li>
Provide training and support to business users</li><li>
Support the development team in application end-to-end testing and business analysis</li><li>
Supporting and leading the development of modelling applications together with a highly experienced and agile development team</li><li>
Provide clear documentation on implementations</li></ul>
You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.
About You:
We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.
What you need to have:<ul><li>
A university degree in a highly analytical field (e.g., Mathematics, Natural Science, Engineering or Actuarial Science)</li><li>
A high interest in (Re-)Insurance and related actuarial science, modelling, exposure management and data analytics topics</li><li>
3+ years&rsquo; experience in actuarial / modelling / software development</li><li>
Sound proficiency in a .NET language, C# preferred.</li><li>
Solid object-oriented programming skills</li><li>
Understanding of performance and scalability considerations</li><li>
Highly developed conceptual, analytical, and innovative problem-solving abilities Ability to work effectively and collaboratively with others in an international and global team desire to develop innovative ideas, learn from others, and share knowledge</li><li>
Keen attention to detail</li><li>
Ability to manage priorities under pressure and time constraints</li><li>
Hands on approach to solving problems</li><li>
Strong communication skills, allowing you to interact with a diverse group of colleagues</li></ul>
What we prefer you to have:<ul><li>
Understanding of RDBMS and Data Repositories (SQL Server, MySQL, Azure, noSQL).</li><li>
Experience with Azure cloud infrastructure and services / Big Data (Databricks, Snowflake)</li><li>
Knowledge of distributed systems and service-oriented architecture. Proficiency using AI tooling</li><li>
Relevant business experience in an international (Re-)Insurance company or in a broking business</li><li>
Real-life experience with Agile methodologies including Scrum; experience working with Product Backlogs using Azure DevOps or a similar toolset</li><li>
A background in specialty insurance and reinsurance, working with pricing models, exposure data and modelled loss data</li><li>
Any previous experience that proves a high level of numeracy and an eye for detail when working with data</li></ul>
Role Factors:
In this role, you are required to be in the office 3 days per week.
What we offer:
You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.
This posting is for an existing vacancy.</div>

Actuarial Engineer

<div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
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Provide day-to-day administrative support to the SE leadership team.</li><li>
Support with calendar management, including scheduling meetings and resolving routine conflicts.</li><li>
Coordinate travel bookings and itineraries.</li><li>
Prepare and submit expense reports and reimbursements.</li><li>
Organise meetings, including booking rooms, sending invitations and coordinating logistics.</li><li>
Maintain and organise team mailing lists, shared folders and Google Drives.</li><li>
Welcome and support visitors, ensuring they are signed in and directed appropriately.</li><li>
Respond to routine questions and requests, connecting employees and guests with the appropriate resources.</li><li>
Maintain accurate administrative records and trackers.</li></ul>
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1&ndash;2+ years of experience in an administrative, coordination, customer service or office support role.</li><li>
Strong organisational skills and the ability to manage multiple tasks.</li><li>
Good communication and interpersonal skills.</li><li>
Proficient in Google Workspace, including Gmail, Calendar, Docs, Sheets and Slides.</li><li>
Comfortable creating and formatting basic documents and presentations.</li><li>
Strong attention to detail and ability to work accurately.</li><li>
Positive, can-do attitude and willingness to learn.</li><li>
Able to follow established processes and ask for guidance when needed.</li><li>
Generally IT savvy and comfortable learning new systems and tools.</li><li>
Resourceful and dependable, with a proactive approach to supporting the team.</li><li>
Embrace and contribute to the Snowflake culture and values.</li></ul>
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How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</div>

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