data technical lead

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)

Databricks

<div>Req ID: CSQ127R149
Location: London, United Kingdom - Hybrid
Recruiter: Dina Hussain
We&rsquo;re hiring for multiple roles within our FDE team.
As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer

<div>REQ ID: FEQ127R254
Location: Hybrid &ndash; London
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Extensive experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification preferred but not essential</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer, Full Stack

nSCALE

<div><h2 class="jobSectionHeader">About Nscale</h2>

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development.

Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.

<h2 class="jobSectionHeader">About the Role (Job Purpose)</h2>

We're looking for a Foundry Engineering Lead to serve as the technical authority for our Foundry implementation at Nscale&mdash;leading the design, development, and governance of the data platform that underpins our internal operations, workflows, and customer-facing capabilities.

This is a senior, high-impact role at the intersection of hands-on engineering and technical leadership. You'll set the architectural direction for Foundry, build and maintain the core data infrastructure, and work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to deliver reliable, scalable data products.

As the most experienced Foundry engineer in the team, you'll mentor and guide other engineers and analysts, establish standards and best practices, and drive the technical roadmap as the platform scales.

This role is ideal for someone who combines deep, hands-on Foundry expertise with the confidence to lead technically&mdash;someone who can architect at scale, get into the details when it matters, and bring others along with them.

<h2 class="jobSectionHeader">What You'll be Doing (Responsibilities)</h2>
<ul>
<li>Lead the design and architecture of Nscale's Foundry implementation, ensuring scalability, security, and long-term data integrity.
</li>
<li>Define the technical strategy for Foundry development, aligning with business objectives and the programme-wide data roadmap.
</li>
<li>Act as the technical authority on Foundry across the organisation&mdash;setting standards, driving architectural decisions, and owning the evolution of the platform.
</li>
<li>Conduct code reviews and ensure adherence to best practices in data modelling, pipeline development, and integration.
</li>
<li>Mentor engineers and analysts working within the Foundry environment, raising technical capability and quality across the team.
</li>
<li>Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.
</li>
<li>Define data models, schemas, and ontology structures that support operational workflows and use cases across the business.
</li>
<li>Clean, transform, and structure data to create a digital twin of Nscale.
</li>
<li>Implement permissioning and manage access and security of the Foundry implementation.
</li>
<li>Create trusted datasets and metrics that power workflows, internal tools, and customer-facing insights.
</li>
<li>Enable self-service analytics by establishing clear data contracts, documentation, and semantic layers.
</li>
<li>Build use cases including, but not limited to:
<ul>
<li>Capacity planning
</li>
<li>Cost optimisation
</li>
<li>Reliability analysis
</li>
<li>Customer reporting
</li>
</ul></li><li>Collaborate with Product and Commercial teams to translate real-world business questions into robust data solutions.
</li>
<li>Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.
</li>
<li>Codify data lineage, freshness, and consistency across systems.
</li>
<li>Establish and enforce governance standards around data versioning, access control, and compliance appropriate for a fast-scaling company.
</li>
<li>Oversee the integration of Foundry with existing systems and data sources, ensuring seamless data flows.
</li>
</ul><h2 class="jobSectionHeader">Profile and Required Skills</h2>
<ul>
<li>Deep, hands-on expertise in Palantir Foundry, including ontology modelling, pipeline development, data architecture, and large-scale platform design.
</li>
<li>Proven experience providing technical leadership&mdash;setting architectural direction, mentoring engineers, and defining standards in a data engineering context.
</li>
<li>Strong proficiency in Python, with experience applying data engineering frameworks (e.g. Spark, PySpark, Dask, pandas) to large, complex datasets.
</li>
<li>Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.
</li>
<li>Experience with Git-based development workflows, including code reviews, version control, and CI/CD pipelines.
</li>
<li>Excellent communication skills&mdash;able to explain complex technical concepts clearly to both technical and non-technical stakeholders.
</li>
<li>Comfortable operating in ambiguous, fast-moving environments where requirements evolve quickly.
</li>
<li>A bias toward ownership, pragmatism, and delivering useful solutions.
</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul>
<li>Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
</li>
<li>Familiarity with distributed systems, monitoring data, or usage-based billing data.
</li>
<li>Experience supporting customer-facing data products or platforms.
</li>
</ul><h2 class="jobSectionHeader">What We Can Offer You</h2>

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
<ul>
<li>Highly competitive package (base + equity) with reviews every 12 months.
</li>
<li>Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
</li>
<li>Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
</li>
<li>Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
</li>
</ul><h1 class="jobSectionHeader">Equal Opportunities Statement</h1>

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there's anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.<div>
For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.</div></div>

Foundry Engineering Lead

Data Idols

<div><h2 class="jobSectionHeader">Head of Data Engineering</h2>
<h3 class="jobSectionHeader">Salary: &pound;100,000 &ndash; &pound;120,000 + Benefits</h3>
<h3 class="jobSectionHeader">Location: London &ndash; hybrid</h3>

We&rsquo;re partnering with a successful, data-driven digital business that&rsquo;s investing heavily in the future of its data platform. Having already embarked on a significant transformation programme, they&rsquo;re now looking for an experienced Head of Data Engineering to lead the next phase of their journey.

This is a genuine opportunity to shape the way an organisation manages, governs and leverages its data. You&rsquo;ll have ownership of the data platform, influence technology strategy and establish the standards that underpin analytics, reporting and future AI initiatives.
<h3 class="jobSectionHeader">
The Opportunity</h3>

As the Head of Data Engineering, you&rsquo;ll provide technical leadership across the entire data engineering function, taking ownership of platform architecture, governance and engineering excellence.

Working closely with senior stakeholders across Technology, Product, Finance and Commercial teams, you&rsquo;ll ensure data is reliable, well-governed and trusted throughout the business.

You&rsquo;ll inherit a modern cloud-based platform and an established engineering team, with the autonomy to define the long-term technical roadmap and build best-in-class engineering practices.
<h3 class="jobSectionHeader">
Skills and Experience</h3>
<ul><li>Proven experience leading Data Engineering teams within modern cloud environments</li>
<li>Deep experience designing and managing modern data warehouses and analytics engineering environments</li>
<li>A strong understanding of data governance, quality, lineage and operational best practice</li>
<li>The ability to influence stakeholders across technical and non-technical teams</li>
<li>A track record of raising engineering standards and developing high-performing teams</li>
</ul>
If you&rsquo;re looking for a senior leadership opportunity where you can combine technical expertise with strategic influence, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Head of Data Engineering</h2></div><div></div>

Head of Data Engineering

<div><h2 class="jobSectionHeader">Description</h2>
<div>
The Threat-Led Detection Engineer Lead will drive WTW&rsquo;s detection engineering capability within the Global Information and Cyber Security Defence (ICSD) function, owning the strategy, quality, and continuous improvement of how WTW detects threats across its global estate in AI era. This role blends deep technical detection expertise with team leadership, driving a threat-led, intelligence-informed approach to detection that maps directly to real adversary behaviour.

The Lead will set the standard for how detections are designed, written, tested, documented, and maintained &ndash; championing Detection-as-Code, measurable detection coverage, and a strong engineering culture. Working closely with SOC, Threat Hunting, Cyber Threat Intelligence (CTI), Incident Response, and Vulnerability

Management teams, the Lead will ensure WTW&rsquo;s detection library evolves ahead of the threat landscape. 
The individual will work as part of a global, multi-disciplined security community with strong support across the business, helping to foster a security-aware culture while ensuring WTW remains a great place to work. With WTW&rsquo;s large global footprint, this role offers a fascinating range of work, and occasional global travel may be required.

The Threat-Led Detection Engineer Lead will grow WTW&rsquo;s detection engineering function within the Global Cyber Security Defence team. Responsibilities of this role will include:
<ul>
<li>Drive WTW&rsquo;s detection engineering strategy, setting the vision, standards, and roadmap for threat-led detection across cloud, endpoint, identity, network, and SaaS environments.</li>
<li>Lead, mentor, and grow a team of detection engineers, establishing engineering best practices, peer review, and a culture of high-quality, well-documented detections.</li>
<li>Drive a threat-led detection approach, prioritising detection development against adversary tradecraft using the MITRE ATT&amp;CK framework, the Cyber Kill Chain, and the Diamond Model of Intrusion Analysis.</li>
<li>Translate Cyber Threat Intelligence and threat-hunting findings into robust, high-fidelity detections with low false-positive rates.</li>
<li>Establish, own, and maintain the central detection library, ensuring detections are version-controlled, tested, documented, and mapped to MITRE ATT&amp;CK coverage.</li>
<li>Champion Detection-as-Code, implementing Git-based workflows, CI/CD pipelines, automated testing, and peer review for all detection content.</li>
<li>Define and track detection coverage, efficacy, and quality metrics (e.g. ATT&amp;CK coverage, detection fidelity, time-to-detect) and report on detection posture to senior leadership.</li>
<li>Lead detection validation and tuning through adversary emulation, purple-team exercises, and breach-and-attack-simulation tooling (e.g. Atomic Red Team, Caldera).</li>
<li>Support the integration of AI and automation into detection workflows &ndash; including AI-assisted detection authoring, enrichment, and triage &ndash; and lead detection efforts for AI/GenAI-specific threats.</li>
<li>Partner with SOC, Threat Hunting, CTI, Incident Response, and Vulnerability Management to close detection gaps identified during incidents and hunts.</li>
<li>Govern the full detection lifecycle: intake, development, testing, deployment, monitoring, tuning, retirement, and continuous improvement.</li>
<li>Evaluate and onboard new log sources, telemetry, and tooling to expand detection coverage across the global estate.</li>
<li>Set standards for detection documentation, runbooks, and response guidance so every detection is clear and actionable for the SOC.</li></ul> 

</div>
<h2 class="jobSectionHeader">Qualifications</h2>
<div>
We are looking for a candidate for the Threat-Led Detection Engineer Lead role who has the following:
Must-have
<ul>
<li>5+ years in cyber security with detection engineering experience, including a track record of leading, mentoring, or coordinating technical teams.</li>
<li>Strong cyber security mindset with a deep, thorough understanding of adversary behaviour, attacker tradecraft, and the modern threat landscape.</li>
<li>Expert knowledge of the MITRE ATT&amp;CK framework, the Cyber Kill Chain, and the Diamond Model, with proven ability to map and drive detection coverage against them.</li>
<li>Proven expertise writing, testing, and maintaining detection rules across SIEM and EDR/XDR platforms (e.g. Microsoft Sentinel, Splunk, Elastic, CrowdStrike, Microsoft Defender XDR), using query languages such as KQL, SPL, EQL, or Sigma.</li>
<li>Demonstrated ability to develop high-fidelity detections swiftly in response to emerging threats, intelligence, and live incidents.</li>
<li>Experience owning and maturing a detection library, including detection lifecycle governance and ATT&amp;CK coverage mapping.</li>
<li>Hands-on experience with Detection-as-Code: Git, version control, CI/CD pipelines, and automated testing of detection content.</li>
<li>Understanding of AI/ML in security operations and awareness of AI-specific threats (prompt injection, model/data poisoning, sensitive-data exposure via GenAI), with familiarity with the OWASP LLM Top 10 and MITRE ATLAS.</li>
<li>Exceptional written and verbal communication skills, able to convey complex technical concepts to both engineers and non-technical stakeholders, including executives.</li></ul> 


Good to have
<ul>
<li>Strong threat-hunting mindset and hands-on hunting experience to proactively surface detection gaps and feed detection development.</li>
<li>Scripting and automation skills (e.g. Python, PowerShell) for tooling, enrichment, and SOAR integration.</li>
<li>Familiarity with detection data pipelines (log routing, parsing, normalisation, data lakes) and how they affect detection quality.</li></ul> 


We&rsquo;re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@willistowerswatson.com.</div></div>

Threat-Led Detection Engineer - Lead

<div>Role description 
Senior / Principal Data Platform Engineer (Snowflake &amp; dbt)

London (Hybrid)

ASAP

We are seeking accomplished Data Platform Engineers with extensive experience in Snowflake and dbt to lead the design and delivery of scalable, enterprise-grade data solutions.

This role combines deep technical expertise with strategic influence, shaping data architecture, enabling modern CI/CD practices, and partnering closely with stakeholders to deliver high-impact, production-ready data capabilities. You will play a key role in driving data platform excellence, ensuring robustness, performance, and long-term scalability across the ecosystem. 


Key Responsibilities:
<ul>
<li>Lead the end-to-end delivery of data solutions on Snowflake, ensuring scalability, resilience, and performance</li>
<li>Design and implement modular, testable, and well-documented dbt models, embedding best practices across transformation layers</li>
<li>Build, optimise, and manage CI/CD pipelines using Azure DevOps to enable seamless, automated deployments across environments</li>
<li>Establish and champion engineering standards, including Git workflows, code quality, peer reviews, and release management</li>
<li>Optimise large-scale data workloads through advanced SQL techniques and Snowflake performance enhancements</li>
<li>Partner with business and technical stakeholders to translate requirements into scalable, outcome-driven data solutions</li>
<li>Ensure production readiness, including monitoring, ing, incident resolution, and structured handover to support teams</li></ul> 


What You Will Bring:
<ul>
<li>Extensive experience working with the Snowflake data platform in complex, enterprise environments</li>
<li>Advanced proficiency in SQL, including data modelling, optimisation, and performance tuning</li>
<li>Strong hands-on experience with dbt, including modelling, testing, macros, and incremental processing</li>
<li>Extensive experience with Git-based version control, including branching strategies and code governance</li>
<li>Proven capability in building and maintaining Azure DevOps CI/CD pipelines, supporting automated and scalable deployments</li>
<li>Strong understanding of software development lifecycle and production support models</li>
<li>Ability to engage effectively with cross-functional stakeholders, translating business needs into technical solutions</li>
<li>Strong communication skills, with the ability to convey complex concepts in a clear and structured manner</li>
<li>A proactive, solution-oriented mindset with a focus on delivering measurable outcomes</li></ul> 


Desirable Experience:
<ul>
<li>Experience within data-intensive or regulated industries, such as financial services</li>
<li>Familiarity with data quality frameworks and automated testing approaches</li>
<li>Exposure to the Azure data ecosystem</li></ul> 


Hurry &amp; apply for a more detailed conversation with our team!

#UST 
Skills 
sql server,database triggers,database migration,disaster recovery,query optimization, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering

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