data & AI
Diversity Report

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Key Responsibilities

Platform Engineering & Development

• Design and develop secure, scalable APIs for both internal and external use
• Build portable, reusable code that integrates seamlessly across systems
• Translate product requirements into technical solutions and architecture proposals
• Develop event-driven pipelines and backend services
• Implement and manage integrations with external partners and third-party APIs
• Promote decoupled architectures and modular, reusable components

Platform Architecture

• Contribute to the development of ascalable, event-driven, multi-tenant platform supporting:
  • Containerized product delivery for external clients
  • Event-driven services across AWS
  • Centralized orchestration powered by shared state stores
  • Governance across AdTech integrations and external APIs

Reliability, Observability & DevOps

• Establish and enforce best practices for observability, testing, and production readiness
• Implement automated CI/CD pipelines (e.g., GitHub Actions)
• Ensure system reliability through robust error handling, monitoring, and retry mechanisms
• Drive adoption of strong documentation standards and engineering best practices
• Reduce system complexity and improve maintainability across services

Qualifications

• 8-10 years of experience building and operating production-grade systems
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)
• Strong experience with APIs, microservices, event-driven architectures, and multi-tenant systems
• Deep expertise in AWS and containerization (Docker)
• Experience with CI/CD pipelines and automated testing frameworks
• Familiarity with Databricks (including Asset Bundles) is a plus
• Experience with Kubernetes (EKS) and AdTech ecosystems is preferred

Technology Stack

• Languages: Python, SQL, Rust, JavaScript
• Orchestration: Airflow, Databricks Jobs, AWS SQS
• Data Platform: Databricks (Delta Lake, Unity Catalog), Snowflake, AWS (S3, EC2, Elastic Beanstalk, Lambda)
• Containerization: Docker
• Observability: Prometheus, Grafana, Datadog
• CI/CD: GitHub Actions

What We’re Looking For

• Proven experience building scalable backend systems from the ground up
• Strong hands-on expertise with AWS services
• Record of modernizing or refactoring legacy infrastructure
• Experience troubleshooting and resolving production issues
• Deep familiarity with containerized environments and distributed systems

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This is a true greenfield opportunity to take an existing Databricks proof of concept and turn it into a scalable, production-grade data lakehouse powering analytics and AI across the organization.

Why This Role

• Greenfield architecture ownership
• Direct access to senior leadership
• High visibility across analytics and AI initiatives
• Real-world impact on globally recognized projects

What You’ll Do

• Architect and build Databricks on AWS
• Design a modern lakehouse architecture (Databricks + Snowflake)
• Define scalable data pipelines and integration patterns
• Partner with Info Systems and DevOps teams
• Drive cost optimization and platform scalability
• Establish governance, standards, and technical roadmap
• Shape the future of analytics and AI across the firm

What We’re Looking For

• 10+ years in data architecture / engineering
• Strong expertise in Databricks, AWS, and Snowflake
• Proven experience building enterprise data platforms end-to-end
• Experience in greenfield environments
• Strong business partnership and stakeholder communication skills

Nice to Have

• Experience with design or engineering data
• Collaboration with DevOps teams
• Interest in analytics, ML, or AI

Location: New York, NY – Hybrid

If you’re excited to build a data platform from scratch and drive real-world impact at global scale, apply now!

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The Role

As a Senior Analytics Engineer, you will own the “middle layer” of the data stack. Your mission is to translate complex healthcare business logic into scalable, governed dbt models that power the future of the Client’s analytics strategy.

• Architect the Semantic Layer: Define metrics, naming conventions, and data structures that enable natural language querying (NLQ) and self-service BI.
• Engineering Excellence: Build and maintain high-performance dbt models utilizing advanced macros, snapshots, and exposures.
• Strategic Collaboration: Partner with Data Engineers to refine ingestion and BI Developers to ensure seamless consumption.
• AI Readiness: Structure data specifically to support emerging agentic BI tools (e.g., ThoughtSpot) and LLM-driven analytics.

Who You Are

• The Hybrid Expert: You possess the technical rigor of a Data Engineer but the business empathy of an Analyst. You understand why a metric matters as much as how to calculate it.
• The Healthcare Veteran: You have spent at least 2+ years navigating the complexities of healthcare data, including Medical Claims, EHR/EMR systems (HL7/FHIR), and the nuances of clinical vs. transactional data.
• The dbt Power User: You don’t just use dbt; you master it. You are comfortable with complex metric layers and maintaining clean, modular code.

Experience & Requirements

• 6-8 years of total experience in Data/Analytics Engineering.
• 3+ years of dedicated experience with dbt (Required).
• Must have deep experience in the Healthcare industry (Claims/Clinical data).
• Advanced SQL skills and a strong understanding of dimensional modelling.
• Familiarity with modern warehouses (Snowflake, Databricks, or Fabric) and semantic tools (Cube, AtScale, or LookML) is a major plus.

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A global semiconductor organization is seeking a senior supply chain professional to take responsibility for enterprise planning within its Supply Chain Solutions function. This role focuses on improving planning processes, systems, and alignment across a complex, global manufacturing environment.

This position covers end-to-end planning, including demand planning, inventory optimization, supply planning, and capacity planning to support ongoing manufacturing growth. The role plays an important part in connecting demand signals with supply capabilities and factory operations to support accurate planning and efficient execution.

You will help shape the direction of planning systems and processes, including building and maintaining multi-year roadmaps and supporting transformation initiatives across modern platforms, analytics, and automation. This includes involvement in system design, implementation, and ongoing improvements, as well as contributing to legacy system updates and data quality across planning systems.

The role works closely with manufacturing and operations teams to support factory planning, scenario modeling, and capacity alignment, ensuring that planning outputs reflect both business needs and operational realities.

You will work with a global team across the US and India, contributing to consistent processes, skill development, and ongoing improvements across the planning function. This role requires both strong collaboration skills and comfort working with planning systems, data, and cross-functional teams.

The ideal candidate has experience working in supply chain planning within manufacturing environments, with an understanding of enterprise planning and system implementations. Experience in semiconductors or similarly complex industries is preferred, along with exposure to planning transformations and cross-functional collaboration.

This is an opportunity to contribute to the evolution of planning within a global semiconductor organization, supporting both operational efficiency and long-term business goals.

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Analytics Manager – CRM & Loyalty
London (with 3 days per month in Southampton)
Up to £80,000 base + bonus + excellent benefits

We’re partnering with a leading UK retail brand to hire an Analytics Manager to play a key role in shaping their CRM & Loyalty strategy.

This is an exciting opportunity to join a growing, high-impact analytics function operating as a “boutique” team within a major organisation. You’ll work closely with CRM and Loyalty stakeholders to drive customer insight, campaign effectiveness, and commercial performance.

The Role

As Analytics Manager, you will:

• Partner with CRM & Loyalty teams to deliver actionable customer insights

• Lead analytics projects across:

  • Customer segmentation & targeting

  • Loyalty programme optimisation

  • Campaign performance (email, web, push, in-store)

  • Basket and category performance analysis

• Support the evolution of a major loyalty programme transformation

• Work with modern data tools (Databricks, SQL, Python)

• Line manage an Analyst and a Contractor

What We’re Looking For

• Strong SQL skills (core requirement)

• Python experience (desirable)

• Background in marketing, CRM, or customer analytics

• Experience working across multiple customer channels

• Ability to translate data into commercial insight

Retail experience is beneficial but not essential – strong customer/marketing analytics experience is key.

The Team

• High-growth analytics function with strong leadership

• This role sits within the CRM & Loyalty pillar

• Opportunity to influence strategy and build capability

• Collaborative culture with ambitious plans for expansion

Package & Benefits

• Up to £80,000 base salary

• Performance bonus

• Private healthcare (Bupa)

• 14% pension contribution (matched)

• Flexible working environment

Interview Process

• Introductory conversation (Teams)

• SQL & numerical assessment (remote)

• Final stage including presentation + competency interview

• Final stakeholder conversation

If you’re looking to step into a high-impact role where you can shape customer strategy through data, this is a fantastic opportunity to make your mark.

Apply now or get in touch to learn more.

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Marketing Technology Executive – Digital Marketing Data & Feeds

Location: London (Hybrid – approx. 1 day per week on-site)
Salary: £45,000-£50,000 + benefits
Start: ASAP (urgent hire)

About the Role

We’re looking for a hands-on Marketing Technology Executive to help deliver and evolve the technical digital marketing capabilities across inbound and outbound channels. This role sits within a growing digital marketing function and focuses on building, managing, and optimising the product and stock data pipelines that power marketing activity across multiple platforms.

You’ll work closely with Marketing, Product, and Engineering teams to ensure product data is accurate, reliable, and effectively integrated into the MarTech ecosystem. If you enjoy solving data flow challenges, improving feed quality, and enabling smarter marketing activation, this is a great fit.

What You’ll Do

• Develop, maintain, and optimise product and stock data feeds using tools like Athos Commerce and technologies such as Kafka and Snowflake.
• Manage real-time feed integrations with platforms including Meta, TikTok, Salesforce Marketing Cloud, and others.
• Support ETL processes to ensure accurate and compliant data sharing across marketing tools and dashboards.
• Validate and monitor product/stock data to ensure accuracy, completeness, and performance.
• Run and report on feed tests, identifying opportunities to improve marketing efficiency.
• Work collaboratively with internal teams to ensure smooth delivery of data-driven projects.

What We’re Looking For

Essential:

• Experience managing product and stock feeds for digital commerce (Athos, Mulesoft, Boomi, etc.).
• Integration of feeds into digital marketing platforms.
• Knowledge of ETL processes and data governance best practices.
• Understanding of how digital channels use feed data for targeting, optimisation, and reporting.
• Ability to translate technical requirements into marketing deliverables.

Desirable:

• Experience with APIs (Postman, Datadog, Splunk, Boomi).
• Working knowledge of GCP, data pipeline tools (Funnel, Datorama) or Snowflake.
• Experience in enterprise retail, ecommerce, or marketplace environments.
• Familiarity with real-time data architecture (e.g., Kafka).

What You’ll Bring

• Problem-solving mindset and ownership of tasks from start to finish.
• Ability to simplify complex problems and communicate clearly with stakeholders.
• Curiosity, adaptability, and willingness to try new approaches.
• Strong relationship-building skills across technical and non-technical teams.
• A proactive approach to improving processes and marketing effectiveness.

Working Model

Hybrid, with flexibility-typically one day per week in the London office, but open to once every two weeks depending on needs.

Find out more and apply via the link below.

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Senior Marketing Analyst
Fully Remote (UK) | Up to £70,000 + equity options + quarterly bonus

This is a great opportunity to join a high-growth, digital-first business where marketing decisions are genuinely data-led. You will shape how performance marketing is measured, reported, and optimised, while working with a modern data stack and a growing central data team.

The Company
They are a fast-scaling, subscription-based consumer marketplace with a strong international presence. Their model is built around a two-sided membership community, and they are investing heavily in data to drive smarter growth decisions. Over the past six months, they have been building a modern data platform from the ground up, introducing tools such as dbt and Databricks. Data is central to their strategy, and marketing analytics is a key area of focus for future growth.

The Role
As a Senior Marketing Analyst, you will sit within the Marketing Analytics function and act as a strategic partner to growth and marketing leaders. You will:

• Work with marketing stakeholders to understand growth questions and translate them into clear analytical projects.
• Analyse channel and campaign performance to inform budget allocation and investment decisions across paid and owned channels.
• Deep dive into the end-to-end customer journey, from initial visit to registration, membership, and purchase.
• Identify behavioural indicators and patterns that predict conversion and retention.
• Develop and refine customer segments to improve targeting across paid media and CRM.
• Support the development of marketing mix modelling (MMM) capabilities.
• Build and maintain dashboards and self-serve tools that bring performance and insights to life for non-technical stakeholders.
• Help improve data foundations and data models that power marketing analytics and reporting.

Your Skills & Experience
You will be a strong fit for this Senior Marketing Analyst position if you have:

• Strong commercial experience using SQL to query and manipulate large datasets.
• Proven experience in marketing analytics, ideally with a focus on paid performance marketing.
• Hands-on experience with data visualisation tools such as Tableau or Looker (or similar BI tools).
• A background working in a marketplace, start-up, or scale-up environment where you have influenced growth or acquisition strategy.
• Experience working across channels such as paid social, paid search, CRM, and/or influencer marketing.
• Confidence working directly with senior stakeholders, communicating complex analysis in a clear, actionable way.
• A proactive, problem-solving mindset and a genuine interest in understanding customer behaviour and the full customer journey.

What They Offer

• Salary in the range of £70,000 – £80,000, depending on experience.
• Equity options plus a quarterly performance bonus structure.
• Fully remote working within the UK, with flexibility and trust.
• The chance to join at a pivotal stage as the data platform and marketing analytics function are being built out.
• Significant scope to influence marketing strategy, measurement frameworks, and advanced analytics capabilities.
• Opportunities to grow your career as they expand their data, analytics, and marketing teams and move further into predictive modelling and advanced analytics.

How to Apply
If you are a Senior Marketing Analyst looking to have a real impact on growth strategy in a modern, data-driven business, please apply with your CV to be considered.

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Director, Commercial Analytics
London | £105,000 to £150,000 base plus 20 percent bonus and equity | Hybrid, 1 day per week in office

This is a senior, build-and-shape analytics leadership role with genuine international impact. You will define how commercial performance is measured and understood across multiple markets, partnering closely with senior stakeholders to influence strategy, investment and growth.

The Company
They are a high-growth, global healthcare organisation operating a recurring revenue, SaaS-like commercial model. The business is scaling rapidly outside its core market, supported by increasing reimbursement and healthcare investment internationally. Data and analytics are being centralised for the first time, with strong executive sponsorship.

The Role

• Act as the international commercial analytics partner across sales, marketing and market access
• Lead and develop a small, high-performing analytics team
• Translate ambiguous business questions into clear analytical frameworks and insight
• Drive standardised metrics and measurement across regions while allowing for local nuance
• Own attribution and effectiveness measurement of commercial activity
• Synthesize complex data into clear narratives for senior leadership
• Help stand up and scale a new international analytics capability

Your Skills and Experience

• Strong background in commercial analytics within complex, regulated environments
• Proven people leadership and experience scaling analytics capability
• Confident operating in ambiguity and challenging business thinking
• Experience with attribution, measurement and market research data
• Comfortable working across different healthcare or distribution models
• Strong executive-level communication and data storytelling skills

What They Offer

• £105,000 to £150,000 base salary
• 20 percent bonus target with significant upside
• Equity participation through an RSU plan
• High visibility, strategic role with international scope
• Hybrid working with a light in-office requirement

How to Apply
Apply now to explore this senior leadership opportunity in commercial analytics.

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