data engineering lead

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

AQ International

<div>Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization. The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.

Job Summary:
<ul>
<li>Stand up and scale a high-performing engineering team</li>
<li>Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning</li>
<li>Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability</li>
<li>Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks</li>
<li>Partner with the SVP on hiring, team development, vendor relationships and strategic planning</li>
</ul>
Key Responsibilities:
<ul>
<li>Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team's output, quality, and morale.</li>
<li>Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.</li>
<li>Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don't need to design everything yourself, but you need to ensure designs are sound before they go to production.</li>
<li>Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.</li>
<li>Partner with SVP on Hiring and Onboarding.</li>
<li>Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.</li>
<li>Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.</li>
</ul>
Education and Experience:
<ul>
<li>5/8+ years in data engineering, analytics engineering, or platform engineering roles</li>
<li>3+ years leading engineering teams (hiring, performance management, delivery accountability)</li>
<li>Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools</li>
<li>Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds</li>
<li>Experience operating in regulated or compliance-sensitive environments</li>
<li>Be able to review code, debug production issues and make sound architectural judgements.</li>
</ul>
This hands-on leadership role is for you if:
<ul>
<li>You've built and scaled engineering teams and enjoyed it</li>
<li>You're energized by the challenge of consolidating legacy systems into something better</li>
<li>You're comfortable with ambiguity and can make progress without perfect information</li>
<li>You care about engineering craft: clean code, good tests, clear documentation</li>
<li>You want to be close to the work</li>
<li>You can balance delivery pressure with sustainable team health</li>
<li>You're excited by the opportunity to shape a function, not just manage one</li>
</ul><div>
Any data provided as a part of this application will be stored in accordance with our Privacy Policy.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.</div></div>

Engineering Director

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

Bluefish AI

<div>About the Position

As a Staff AI Engineer, you&rsquo;ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You&rsquo;ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You&rsquo;ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You&rsquo;ll raise the bar for data literacy across the department, craft and collaboration.

You&rsquo;ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our location in London, but we are flexible about hybrid or remote work in The United Kingdom.

What You&rsquo;ll Be Doing
<ul>
<li>Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.</li>
<li>Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.</li>
<li>Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.</li>
<li>Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.</li>
<li>Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.</li>
<li>Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.</li>
<li>Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.</li>
<li>Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.</li>
</ul>
Qualifications
<ul>
<li>8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.</li>
<li>Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.</li>
<li>Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.</li>
<li>Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.</li>
<li>Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.</li></ul> 


About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet &ndash; and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online &ndash; and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.

Why Bluefish &amp; Our Values:
<ul>
<li>Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI</li>
<li>Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry</li>
<li>Join an experienced high-performing team where you will have immediate ownership and impact</li>
<li>Experience a true meritocracy with significant career growth upside as the business scales</li>
</ul>
Our Values:
<ul>
<li>Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren&rsquo;t afraid to roll up your sleeves in a fast-paced, evolving environment.</li>
<li>Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.</li>
<li>Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.</li>
<li>Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.</li>
<li>Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.</li>
<li>Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.</li></ul></div>

Staff AI Engineer

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