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NTT DATA

<div>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Primary Responsibilities:
<ul><li>Client Engagement &amp; Delivery
</li><li>Data Pipeline Development (Batch and Streaming)
</li><li>Snowflake &amp; Cloud Data Platforms
</li><li>Data Architecture &amp; Modelling
</li><li>Collaboration &amp; Best Practices
</li><li>Quality, Governance &amp; 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>Competencies / Critical Skills: 

<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&ndash;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>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; 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 optimising 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.</div>

Snowflake Data Engineer

legalandgeneral

<div>Company Description 
Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
Who we are
Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways. 
Job Description 
We are seeking a Senior Software Engineer to join a high‑performing engineering team delivering robust, scalable, and high‑quality software solutions. In this role, you will apply your technical expertise and strategic mindset to design and build new features, resolve complex issues, address technical debt, and continually improve engineering practices. You will play a key role in shaping how the team works and ensuring we deliver meaningful value and excellent outcomes for our customers.
What you'll be doing:<ul><li>
Building clean, maintainable features and resolving end‑to‑end issues by evaluating multiple approaches to deliver effective, high‑quality customer outcomes</li><li>
Ensuring solutions are fit for purpose, deliver business value, meet quality standards, and align with established engineering practices</li><li>
Contributing to the strategy and management of technical debt to maintain secure, resilient, and reliable systems</li><li>
Defining and supporting test approaches and strategies that prioritise security, usability, accessibility, and overall customer experience</li><li>
Reviewing code with a focus on functional and non‑functional requirements, including performance, resilience, maintainability, and security</li><li>
Promoting continuous inspection and adaptation to improve team effectiveness, culture, and ways of working</li><li>
Coaching and mentoring engineers to foster collaboration, mutual respect, engagement, and ongoing skill development</li><li>
Researching emerging technologies and sharing knowledge to improve solutions, while championing fair treatment of customers and stakeholders</li></ul>
Who we're looking for:<ul><li>
Hands‑on experience building and supporting large, production‑grade backend systems using Java/JVM technologies (Java 17+/Kotlin) and JVM Spring or Node.js&ndash;based REST microservices</li><li>
Strong proficiency in JavaScript and TypeScript, including working with Angular or related frameworks from either a web or backend‑leaning background</li><li>
Deep understanding of clean code, clean architecture, and layered backend designs (e.g. three‑tier, hexagonal, onion), with the ability to align engineering choices to business goals such as scalability, quality, and maintainability</li><li>
Solid knowledge of database composition and SQL, alongside experience designing APIs and an understanding of web, API, and distributed cloud security best practices</li><li>
Proven ability to deliver well‑optimised, maintainable software features; analyse and resolve complex technical problems; and contribute high‑quality, actionable feedback through code reviews</li><li>
Strong practitioner of test‑driven development and the testing pyramid, with experience working in Agile/Scrum environments using Git, Git Flow, and CI/CD pipelines</li><li>
Excellent English communication skills, with the ability to work effectively in teams, facilitate technical discussions and workshops, and ensure alignment toward shared goals</li><li>
Demonstrates sound decision‑making, process thinking, and mentoring capability, holds accountability for outcomes, and takes ownership of continuous learning and team capability development</li></ul>
Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:<ul><li>
The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes</li><li>
Generous pension contribution</li><li>
Life assurance</li><li>
Healthcare Plan (permanent employees only)</li><li>
At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday</li><li>
Competitive family leave</li><li>
Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)</li><li>
There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online</li><li>
We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience</li></ul> 

Additional Information<div></div> 
At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.</div>

Senior Software Engineer (Java)

Legal & General

<div>
 
 Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
 
 
 
 
 
 We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
 
 
 
 
 
 We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
 
 
 
 
 
 
 Who we are
 
 
 
 
 
 
 Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
 
 
 
 
 We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
 
 
 
 
 We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We&rsquo;re building a modern, enterprise‑scale data platform that helps our Retail business make smarter, data‑driven decisions every day. Our Data Operations team enables this by designing, running and continuously improving the Retail &amp; Analytics Data Hub (RADH), a strategic data platform at the heart of analytics and reporting.
 
 
 
 
 We&rsquo;re looking for a Platform Specialist to take technical ownership of RADH and help shape its future. This is a great opportunity for someone who enjoys working at the intersection of platform engineering, data architecture and Snowflake innovation, and who wants to influence how data platforms evolve at scale.
 
 
 
 
 
 What you'll be doing:
 
 
 
 
 <ul>
 <li>
 Leading the ongoing development of the Retail &amp; Analytics Data Hub as a strategic enterprise data platform
 </li>
 <li>
 Introducing and optimising Snowflake capabilities to improve performance, scalability and reliability
 </li>
 <li>
 Acting as a Snowflake subject matter expert, shaping best practice across the organisation
 </li>
 <li>
 Improving automation through CI/CD pipelines, infrastructure as code and orchestration frameworks
 </li>
 <li>
 Embedding observability across the platform, including monitoring, alerting, lineage and data quality
 </li>
 <li>
 Implementing and influencing robust governance, security and access controls in partnership with Information Security
 </li>
 <li>
 Collaborating with engineers, analysts and product teams to support platform adoption and delivery
 </li>
 <li>
 Optimising platform costs while maintaining agreed service levels for availability, performance and data quality
 </li>
 </ul>
 
 
 Who we're looking for:
 
 
 
 
 <ul>
 <li>
 Strong experience in data platform or data engineering roles within cloud environments
 </li>
 <li>
 Deep hands‑on knowledge of Snowflake and its core features and capabilities
 </li>
 <li>
 Confidence working with SQL and modern data engineering tooling and patterns
 </li>
 <li>
 Experience designing or supporting enterprise‑scale data platforms and architectures
 </li>
 <li>
 Understanding of data governance, security, access management and compliance
 </li>
 <li>
 Ability to communicate complex technical topics to both technical and non‑technical audiences
 </li>
 <li>
 A collaborative mindset with a desire to support and enable others
 </li>
 <li>
 Curiosity, adaptability and an interest in continuous improvement and emerging technologies
 </li>
 </ul>
 
 
 Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
 
 
 
 
 <ul>
 <li>
 The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
 </li>
 <li>
 Generous pension contribution
 </li>
 <li>
 Life assurance
 </li>
 <li>
 Healthcare Plan (permanent employees only)
 </li>
 <li>
 At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday
 </li>
 <li>
 Competitive family leave
 </li>
 <li>
 Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
 </li>
 <li>
 There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online
 </li>
 <li>
 We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
 
 
 
 
 If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
 
 
 
 
 We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
 
 
 
 
 It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
 
</div>

Platform Specialist

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

Eventogy

<div>STRICTLY NO AGENCIES: We are only accepting direct applications for this role. Any unsolicited CVs sent will be treated as a gift and will not be subject to any terms or fees. 
 
RECRUITERS: DO NOT CALL OR EMAIL US REGARDING THESE ROLES 
We are a highly successful UK based Events Management SaaS company looking for an ambitious Next.js Product Developer to help oversee the next phase of development of our suite of products. As an accomplished Front-End Senior Engineer you will have a solid track record of designing highly scalable technology platforms.
We are gearing up for the next stage of our journey and invite you to discuss how we can collaborate whilst supporting your personal growth.
Role Info:
Current Tech Includes: React.js, Next.js (14+), JavaScript, HTML5, CSS3.
Methodologies: Agile/Kanban, TDD/BDD, Continuous Integration and Delivery, AI-assisted development with Cursor &amp; Claude.
Who we are:
With an existing and highly satisfied customer base of very well-known large international blue chip enterprises, we are a secure and dynamically growing Software business with a 20-year history of stability and profit from offices in Farringdon, London. Our client list includes Deutsche Bank, Santander, BNPP, Ford, Kia, Toyota, Linklaters, Clifford Chance, Freshfields etc. 
Front-End Developer Role:
We are seeking a highly skilled and experienced Next.js Developer to join the front-end team and drive forward the rebuild of our platform. If you are enthusiastic about creating high-quality, user-friendly applications and enjoy working in a collaborative environment, we want to hear from you.
While we have highly skilled developers within our teams, your role will be to provide a more holistic view to our product offering. You will be working with our dev team to design efficient and future-proof interfaces, acting as a key driver for the front-end architecture. You will also be expected to leverage AI-assisted development tooling including Cursor and Claude to accelerate delivery, improve code quality, and embed intelligent development practices across the team. 
 
 
Requirements 
You will:<ul><li>Drive forward the development of the frontend of our platform using React.js and Next.js (14+).</li><li>Convert designs and wireframes into high-quality code.</li><li>Optimise applications for maximum speed, scalability, and responsiveness.</li><li>Ensure consistent implementation of brand and design guidelines across all platforms.</li><li>Develop and maintain reusable code and libraries for future use.</li><li>Conduct thorough testing and debugging to ensure the seamless functioning of applications.</li><li>Collaborate with cross-functional teams, including product managers, developers, and stakeholders, to define and implement innovative solutions for the product direction, visuals, and user experience.</li><li>Drive adoption of AI-assisted development practices, including Cursor and Claude, across the engineering team. 
</li></ul>What are the role requirements?
You will have experience with most of the following:<ul><li>A minimum of 5 years of experience as a React.js/Next.js Developer, preferably working on a SaaS product.</li><li>Proficient understanding of web markup, including HTML5, CSS3, and JavaScript.</li><li>Knowledge of code versioning tools, such as Git.</li><li>Excellent problem-solving skills and a keen eye for detail.</li><li>Strong communication and teamwork skills, with the ability to work effectively with cross-functional teams.</li><li>Proficiency using AI coding tools such as Cursor and Claude to write, review, refactor, and document code efficiently.</li></ul> 
Technical Experience:<ul><li>Languages: JavaScript, HTML5, CSS3.</li><li>Frameworks: React.js, Next.js (14+).</li><li>AI Development Tools: Cursor IDE, Claude (Anthropic), prompt engineering for code generation and review.</li></ul> 
Benefits 
We are extremely ambitious, with bold targets designed to place us among the very best in our industry. As part of our team, you'll have access to multiple career progression routes &mdash; from people and leadership roles to product expertise and project management. The direction you take is yours to choose, and we'll be on hand with the guidance and support you need to succeed.We offer a highly collaborative working environment, excellent support for career progression, and a strong commitment to developing our people &mdash; including investment in AI tooling and training. 
Benefits include:<ul><li>Company pension scheme</li><li>Gym membership</li><li>Hybrid working (3 days a week in our Farringdon, London office)</li><li>Vibrant location with a top-quality coffee shop next door and a bustling food market right outside</li></ul>
We are an equal opportunities employer. You must be eligible to work in the UK, hold a valid visa or UK residency, and be currently based in the UK. You must also be prepared to undergo high-level security clearance. 
Salary: &pound;60,000-&pound;70,000
Location: London
NO AGENCIES &ndash; Please do not attempt to canvas from here.</div>

Senior Front-End Developer (React.js/Next.js)

Christie's

<div>The Company 
Christie&rsquo;s, the world&rsquo;s largest Art Business, is an incredibly exciting &amp; enriching place to start or continue your career. Whether you work within one of our Specialist Art Departments, or in one of our more Operational teams, we are all working together with one common goal in mind: to continue the success of this 260 year old company, steeped in history, bringing fresh ideas whilst not forgetting our shared values: Integrity, Excellence, Innovation, Responsibility &amp; Relationships. Colleagues across all departments are truly passionate about what they do and it is inspiring to work with industry leaders across our business. 
Why This Role Matters 
The Salesforce Engineer will work closely with the Technical Lead, Product Manager and wider engineering teams to design, build, test and support Salesforce solutions. 
We are looking for a strong engineer who is excited to learn Salesforce, enjoys solving complex business problems, takes ownership of delivery, and wants to grow into a senior technical role over time. If you have solid engineering fundamentals, curiosity, and a track record of learning new technologies quickly, we'd love to hear from you. 
This role is ideal for an engineer with strong technical fundamentals who is looking to develop deep expertise on the Salesforce platform while contributing to large-scale enterprise transformation initiatives. 
The successful candidate will be a proactive problem solver who enjoys learning new technologies, taking ownership of technical delivery, and collaborating with both technical and business stakeholders. They will play an important role in implementing scalable, maintainable solutions while helping evolve technical standards, frameworks, and best practices across the Salesforce estate. 
How You'll Make an Impact 
Solution Delivery<ul><li>
Build, configure, test and deploy Salesforce solutions.
</li><li>Develop custom functionality using Salesforce platform technologies.
</li><li>Assist in the design and implementation of integrations with internal and external systems.
</li><li>Investigate and resolve technical issues across development, testing and production environments.
</li><li>Support ongoing enhancement and development of Salesforce applications.
</li><li>Participate in code reviews and technical design discussions.
</li></ul>Technical Ownership<ul><li>
Collaborate with BAs, Product Owners, Technical Leads and Architecture Team to take ownership of technical work items from refinement and design through to development and deployment.</li><li>
Work closely with the Technical Lead to understand architectural patterns and implementation standards.
</li><li>Contribute to technical documentation including solution designs, sequence diagrams and process flows.
</li><li>Help identify opportunities for automation, simplification and technical improvement.
</li><li>Participate in root cause analysis and continuous improvement activities.
</li></ul>Engineering Excellence<ul><li>
Follow established development standards, DevOps processes and coding best practices.
</li><li>Contribute to internal frameworks, reusable components and technical accelerators.
</li><li>Ensure solutions are maintainable, secure and scalable.
</li><li>Support testing activities and framework designs including unit, integration and user acceptance testing.</li><li>
Continuously develop knowledge of Salesforce and broader software engineering practices.</li><li>
Collaborate with broader teams across the Christies Technology space to grow your understanding and appreciation of the full development and application lifecycle. Supported exposure to considerations spanning teams such as Enterprise Architecture, Information Security, Data Privacy, Product Ownership, Application Support and others.</li></ul> 
What you&rsquo;ll bring to the team<ul><li> 
Educated to Degree Level preferably in Computer Science, Software Engineering, or other related subjects.</li><li>
Training and Certification in Salesforce technologies is an advantage</li><li>
2+ years experience in software engineering, platform engineering, or application development in Salesforce.</li><li>
Experience with at least one modern programming language (Java, C#, JavaScript, TypeScript, Python, Apex or similar).
</li><li>Understanding of software engineering fundamentals including:
</li></ul>o APIs
o Data modelling
o Version control
o Testing
o CI/CD concepts
o Object-oriented design
<ul><li>Understanding and ideally hands-on experience with core Salesforce technical competencies such as:</li></ul>
o Configuration based automation (flows, validation rules, formula fields, etc.)
o Apex trigger-based automation.
o Apex programming language.
o Salesforce specific object interface protocols such as SOQL and DML operations and associated best practices.
o UI/UX configurations including standard Salesforce UI components such as Flexipages and Layouts, as well as more complex or custom Lightning Web Component structures and designs.<ul><li>
Experience working within Agile delivery teams.
</li><li>Strong problem-solving and analytical skills.
</li><li>Excellent written and verbal communication skills.</li><li>
Able to provide accurate estimates and meet deadlines.</li><li>
Excellent interpersonal skills and strong abilities to develop and enhance relationships with stakeholders and peers</li><li>
Excellent written and verbal communication skills and ability to produce clear, concise, detailed documentation
</li><li>Flexible, pragmatic and professional approach, with ability to anticipate problems and work with incomplete information</li><li>
Able to perform under pressure</li><li>
Understanding of business drivers
</li><li>Good problem-solving skills</li></ul> 
What&rsquo;s great about working for us<ul><li>
25 days annual leave + 1 day Birthday leave
</li><li>Christie&rsquo;s Christmas office closure (guaranteed between 25th Dec &ndash; 1st Jan) &ndash; in addition to annual leave: almost two weeks to fully switch off and spend time with friends and family</li><li>
Additional 1 week&rsquo;s annual leave within the year of a 5-year anniversary i.e. 5th, 10th, 15th and so on</li><li>
Volunteering day: Take an additional day of annual leave to volunteer for a charitable organisation that&rsquo;s important to you</li><li>
Donation matching of up to &pound;500 per annum to help you support the organisations you care about</li><li>
Flexible Fitness Fund - &pound;400 per year expense allowance for health and wellness related activity (taxable)
</li><li>Access to world-renowned art: with regular exhibitions in our galleries to wander around and exclusive guided tours hosted by specialist colleagues</li><li>
Discretionary Bonus (dependent on the business and employee performance payable in March each year)
</li><li>Generous retirement plan: We will double match your pension contribution up to 5% of your basic salary (Max 10% contribution from Christie&rsquo;s)</li><li>
Private Health Insurance &ndash; no employee contribution needed, subsidised for other family members
</li><li>Dental Insurance &ndash; (may be extended at personal cost)
</li><li>Generous Income Protection Insurance in the event of accident, sickness or injury after 12 months</li><li>
Competitive Life Insurance policy from first day
</li><li>Employee Assistance Programme &ndash; access to personal advice and support services including counselling
</li><li>Eyecare vouchers (once a year)
</li><li>Cycle to Work scheme</li><li>
Christie&rsquo;s Extras &ndash; discounts on over 800 retailers, holiday packages, dinners and weekly shops</li><li>
Seniorcare by Lottie, a comprehensive eldercare solution
</li><li>Robust family first policy:</li></ul>
&Oslash; 16 weeks full pay on Maternity Leave
&Oslash; Eligible to return to work for 80% of your agreed normal weekly working pattern while being paid as though you were working 100%, post a minimum of 16 weeks of leave
&Oslash; Dependent back-up care: 10 sessions/ days of childcare or eldercare per year
&Oslash; Christies Family Network: Our community of parents who meet regularly over breakfasts, lunch, afternoon tea&hellip; 
 *Christie&rsquo;s reserves the right to change company benefits at any time
Closing Date: Sunday 12th July
#LI-Hybrid</div>

Salesforce Engineer

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Reporting to: Re &amp; ILS Head of Data
 
 
 
 
 Location:
 
 London
 
 
 Type: Permanent
 
 
 
 Role Overview
 
 
 
 The Lead Data Scientist is a crucial member of the
 
 extended
 
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 
 Data Science and Machine Learning
 
 chapter.
 
 
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 
 
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 
 hands-on
 
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 
 
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 
 Group AI Governance Framework
 
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 
 
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 
 
 
 About Hiscox Re &amp; ILS
 
 
 
 Hiscox Re &amp; ILS is located in
 
 Bermuda and London
 
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Chapter Leadership &amp; Talent Management
 </li>
 <li>
 People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
 </li>
 <li>
 In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
 </li>
 <li>
 Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
 </li>
 <li>
 Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
 </li>
 <li>
 Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
 </li>
 <li>
 Solution Delivery &amp; ML Ops Excellence
 </li>
 <li>
 Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
 </li>
 <li>
 ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
 </li>
 <li>
 Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
 </li>
 <li>
 Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
 </li>
 <li>
 Strategy, Governance &amp; Innovation
 </li>
 <li>
 Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
 </li>
 <li>
 Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
 </li>
 <li>
 Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
 </li>
 <li>
 Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
 
 
 
 </li>
 </ul>
 
 Required Experience And Structure
 
 
 
 <ul>
 <li>
 Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
 </li>
 <li>
 Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
 </li>
 <li>
 Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
 
 
 
 </li>
 </ul>
 
 Candidate Profile
 
 
 
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 
 
 
 Main Experience Required Is
 
 
 
 <ul>
 <li>
 Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
 </li>
 <li>
 Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
 </li>
 <li>
 ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
 </li>
 <li>
 AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
 </li>
 <li>
 Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
 </li>
 <li>
 Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
 </li>
 <li>
 Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
 </li>
 <li>
 Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
 </li>
 <li>
 Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
 </li>
 <li>
 Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
 </li>
 <li>
 Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
 </li>
 <li>
 Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
 </li>
 <li>
 Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
 
 
 
 </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Lead Data Scientist

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