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Senior Data Analyst

London | Hybrid (2 days per week) | Up to £75,000

A global sports, media and technology business is looking for a Senior Data Analyst to join its growing analytics team and help understand how millions of digital users interact with its products and content.

This is a highly analytical, SQL-heavy role focused on customer, audience and digital behaviour. You’ll work with large-scale datasets to understand user journeys, engagement, audience segments and account behaviour, while increasingly moving towards Product Analytics, experimentation and A/B testing.

You’ll work closely with Product, Engineering and Data teams to ensure the right tracking is in place, analyse the impact of new features and turn complex data into clear recommendations that improve the digital product.

We’re looking for:

• Strong, hands-on SQL skills – working with millions of rows of data

• Experience analysing customer, user, audience or digital behaviour

• A background in digital, consumer technology, media, subscription, e-commerce or similar environments

• Strong analytical and problem-solving skills

• Experience with experimentation, event tracking or user journeys

• Excellent stakeholder communication and the ability to work as a generalist

Nice to have:

• BigQuery / GCP or another cloud data warehouse

• GA4

• Looker or other BI tools

• Python

• Product analytics / CDP experience

• An interest in using AI tools such as Claude Code to improve analytical workflows

This is a great opportunity for a strong Customer, Audience or Digital Analyst who wants to move closer to Product Analytics without sacrificing the hands-on SQL and large-scale data work.

£70,000-£75,000 | London | Hybrid – 2 days per week in the office

Find out more and apply via the link below!

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Martech Engineer

London| Hybrid – x2 days a week | Up to £55,000 + bonus

A leading performance marketing and digital solutions agency is looking for a Martech Engineer to join its Media Solutions team and help build the technology that powers smarter, more efficient digital marketing for major B2B and B2C brands.

This is a hands-on engineering role sitting at the intersection of technology, data and digital marketing. You’ll build and maintain proprietary tools, integrations and automation that support teams across SEO, paid search, paid social and content, while working closely with data and analytics specialists.

You’ll be involved in projects such as building API connectors into BigQuery, developing serverless applications, creating AI-enabled marketing tools and dashboards, and troubleshooting client-facing platforms. You’ll also work directly with stakeholders to understand problems, scope solutions and turn ideas into scalable technical products.

We’re looking for someone with:

• 3+ years’ professional experience in software/MarTech engineering

• Strong JavaScript, TypeScript and/or Node.js skills

• Experience developing, maintaining and debugging serverless applications

• GCP experience

• Understanding of at least one digital marketing channel such as SEO, paid search, paid social or content

• Experience working with APIs and data

• Strong communication skills and confidence working with both technical and marketing teams

Nice to have:

• BigQuery or equivalent data warehousing experience

• ETL platforms such as Funnel or Adverity

• Experience pulling and transforming data through APIs

• Hands-on experience integrating AI into tools and workflows, including LangChain or CrewAI

• Agency experience

The role is hybrid, with two days a week in either London or Brighton (London preferred), and offers up to £55,000 plus a company bonus.

This is an opportunity to join a collaborative team where you’ll have genuine ownership of technical projects and help shape the tools and technology used to deliver digital marketing for some major brands.

Find out more and apply via the link below!

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Senior Risk Engineer
London
Up to £200,000 Base + Bonus

This is a rare opportunity to join a technology-driven investment firm where engineering has a direct impact on investment decisions. You’ll build risk intelligence tools used by Portfolio Managers and Risk teams to better understand exposures, performance, and opportunities across portfolios.

The Company
They are a global investment firm with a strong focus on technology, data and quantitative decision-making. Engineers work closely with front-office stakeholders in a collaborative environment that values ownership, innovation and high-quality engineering.

The Role

• Build and enhance cross-asset risk analytics platforms.
• Develop APIs, data pipelines and decision-support tools for investment teams.
• Translate risk and pricing models into scalable production systems.
• Work closely with Portfolio Managers, Risk Managers and Quant Researchers.
• Own systems end-to-end, from design through to production support.
• Contribute to AI-enabled analytics and risk intelligence initiatives.

Your Skills & Experience

• Strong experience in risk technology, software engineering or quant development within financial markets.
• Python or Java and SQL expertise.
• Experience building production-grade risk, pricing or trading systems.
• Knowledge of derivatives, Greeks, VaR, scenario analysis and market risk.
• Experience with APIs, distributed systems and data pipelines.
• Ability to investigate model outputs and communicate findings clearly.

What They Offer

• Competitive salary
• Comprehensive benefits package.
• Direct front-office exposure.
• Strong career progression opportunities.
• Collaborative culture with excellent work-life balance.

To Apply for this Job Click Here

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Senior Risk Engineer

Up to £200,000

London (4 days a week in office)

This is an opportunity to join a leading global investment management organisation at the forefront of risk technology and quantitative investing. You’ll work directly with investment teams, building innovative risk and decision-support platforms that influence portfolio construction, capital allocation, hedging strategies, and investment performance.

THE COMPANY

They are a highly regarded global investment management firm with a strong focus on technology, data, and quantitative research. Operating across multiple asset classes and complex financial markets, they combine advanced analytics with sophisticated engineering to support investment decision-making. Their collaborative culture encourages innovation, ownership, and continuous learning. As they continue to invest in their Risk Technology capability, they are seeking an experienced Senior Risk Engineer to help shape the future of their platform.

THE ROLE

As a Senior Risk Engineer, you will be responsible for designing, building, and enhancing investment-facing risk technology solutions used by Portfolio Managers, Risk Managers, and Quantitative Researchers.

Specifically, you can expect to be involved in the following:

• Architecting and developing scalable risk technology platforms and services
• Building cross-asset risk analytics covering sensitivities, scenario analysis, VaR, exposure aggregation, margin, and attribution
• Developing APIs, data pipelines, and interactive tools that deliver actionable investment insights
• Translating complex pricing and risk models into production-grade technology solutions
• Partnering closely with investment teams to solve trading, portfolio, and risk management challenges
• Supporting the firm’s Risk Intelligence strategy through the application of advanced analytics and AI technologies
• Ensuring robust engineering standards through testing, monitoring, data governance, and operational resilience
• Contributing to platform strategy, technical design reviews, and engineering best practice

SKILLS AND EXPERIENCE

The successful Senior Risk Engineer will have the following skills and experience:

• Strong commercial experience building production-grade software within financial markets, risk technology, quantitative development, or trading environments
• Advanced programming skills in Python and/or Java, alongside strong SQL capabilities
• Experience developing APIs, distributed systems, event-driven architectures, and large-scale data solutions
• Deep understanding of derivatives, pricing models, risk analytics, Greeks, scenario analysis, and VaR methodologies
• Ability to work closely with both technical and investment stakeholders
• Strong software engineering principles including scalability, maintainability, testing, and operational excellence
• Experience investigating risk model outputs and reconciling data, methodology, and implementation discrepancies
• Excellent communication skills with the ability to explain complex concepts clearly

Desirable experience:

• Machine learning, AI, LLMs, or AI-assisted development
• Cloud platforms, containerisation, CI/CD, streaming technologies, and observability tooling
• Exposure to multiple asset classes including equities, fixed income, credit, commodities, and FX

BENEFITS

The successful Senior Risk Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Martech Engineer

£45,000 – £55,000

London or Brighton (2 days a week in office)

This is an exciting opportunity to join a growing technology and data-focused team where you will build innovative marketing technology solutions, automation tools, and AI-powered products. You will play a key role in developing scalable solutions that help clients unlock insights, improve efficiency, and drive measurable business impact.

THE COMPANY

They are a leading digital consultancy operating at the intersection of marketing, technology, data, and AI. Their teams partner with a diverse portfolio of clients to solve complex business challenges through innovative technology solutions. With a collaborative and forward-thinking culture, they invest heavily in innovation, product development, and emerging technologies. The business offers exposure to global projects and the opportunity to work alongside specialists across multiple disciplines.

THE ROLE

As a Martech Engineer, you will build AI-powered tools, cloud-based data solutions, and automation products using GCP, TypeScript, Node.js, and modern AI frameworks.

Specifically, you can expect to be involved in the following:

• Design, develop, and maintain marketing technology products, automation solutions, and AI-powered tools.
• Collaborate with stakeholders to identify business challenges and build scalable technical solutions.
• Develop and maintain API integrations, data pipelines, and cloud-based applications.
• Support the ongoing enhancement of proprietary products and internal platforms.
• Build secure, reliable, and reusable solutions using modern engineering practices.
• Contribute to technical architecture, innovation initiatives, and product strategy.
• Troubleshoot and resolve issues across existing applications and tools.
• Work closely with technical and non-technical teams to deliver impactful projects.

SKILLS AND EXPERIENCE

The successful Martech Engineer will have the following skills and experience:

• Strong commercial experience with Google Cloud Platform (GCP) or similar cloud technologies.
• Experience developing applications using JavaScript, TypeScript, and Node.js.
• Knowledge of serverless architectures and modern software engineering practices.
• Hands-on experience integrating AI capabilities into products and workflows.
• Familiarity with agentic AI frameworks such as LangChain, CrewAI, or similar technologies.
• Experience with modern front-end frameworks such as React.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Interest or exposure to digital marketing channels such as SEO, paid media, content, or analytics.

Desirable experience:

• ETL/ELT tools and data integration processes.
• BigQuery or other cloud data warehouse technologies.
• Data visualisation and dashboard development.
• Marketing technology, analytics, or data-focused environments.

BENEFITS

The successful Martech Engineer will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Backend Engineer – AI Services

The Role

We are looking for a Lead Backend Engineer to help bring AI/ML capabilities from prototype to production within an established SaaS platform.

This is a hands-on technical leadership role, not an engineering management or research position. You’ll work closely with Data Science to build scalable backend services, make architectural decisions, and integrate AI into customer-facing products.

What You’ll Do

• Build and evolve backend services across an established SaaS platform.
• Integrate LLMs, RAG, model serving, predictions, and scoring into production products.
• Partner with Data Science to take models and POCs from prototype through production.
• Design reusable infrastructure and patterns for AI development.
• Lead projects from architecture through delivery.
• Make build vs. buy and broader architectural decisions.
• Improve scalability, reliability, security, and maintainability.
• Communicate technical decisions and tradeoffs to senior leadership.

What We’re Looking For

• 15+ years of software engineering experience
• Strong server-side Java and backend engineering experience.
• Experience integrating AI/ML into commercial or customer-facing products.
• Proven experience taking projects from prototype to production.
• Strong architecture and system design skills.
• Experience working within and modernizing existing production platforms.
• Linux and cloud experience across AWS, Azure, or GCP.
• Strong engineering fundamentals including testing, CI/CD, monitoring, and security.
• Basic SQL and experience with data-centric platforms.
• Excellent communication and technical leadership skills.

AI/ML Experience

Experience with several of the following:

• Python / FastAPI
• MLflow
• LangChain or similar frameworks
• Vector databases / RAG
• LLM APIs
• Model serving
• ML pipelines
• Prompt engineering / agentic workflows

Ideal Background

You’ll be a strong fit if you have deep Java backend experience, have successfully put AI/ML into production, and enjoy working closely with Data Science to solve complex technical problems.

Experience with analytics, BI, decision-support applications, or healthcare is a plus.

100% Remote | U.S. Work Authorization Required

Compensation: $175,000-$210,000

To Apply for this Job Click Here

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Lead Data Engineer

Remote (USA) | $175,000-$210,000

The Role

We are looking for a Lead Data Engineer to provide hands-on technical leadership across data engineering, architecture, and data platform development.

This is a Lead/Principal-level role where you will remain hands-on while setting technical direction, mentoring engineers, and leading complex data initiatives from architecture through implementation.

What You’ll Do

• Design, build, and maintain scalable ELT pipelines and data solutions.
• Lead data architecture, modeling, engineering standards, and best practices.
• Own data transformations and onboarding of new customer data sources.
• Troubleshoot complex customer-facing data issues.
• Improve existing systems through automation, scalability, reliability, and efficiency.
• Lead projects from architecture and planning through deployment and ongoing support.
• Evaluate technical options, communicate tradeoffs, and make recommendations.
• Mentor engineers and contribute to the technical roadmap.
• Manage and lead a small team of Data Engineers, supporting their development and performance.

What We’re Looking For

• 7-10+ years of experience, including 5+ years in Data Engineering.
• Strong SQL and Python skills.
• Deep experience with ELT, data pipelines, and large-scale data ingestion.
• Strong data modeling and architecture experience.
• Experience with Airflow or similar orchestration tools.
• Experience working with large datasets and varying data quality.
• Strong architectural mindset with the ability to make independent technical decisions.
• Experience improving or evolving existing data platforms.
• Previous experience managing a small Data Engineering team is required.
• Strong communication and stakeholder-management skills.
• Experience providing technical leadership and mentoring engineers.

Nice to have: dbt, PostgreSQL, MPP databases, Astronomer/Dagster, healthcare data, and experience across multiple database technologies.

To Apply for this Job Click Here

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Strategic Account Manager

About the Role

We are looking for a Strategic Account Manager to manage and grow long-term relationships with key public sector and healthcare customers. This role focuses on executive stakeholder management, customer retention, and identifying cross-sell and upsell opportunities beyond the initial implementation.

What You’ll Do

• Manage multiple strategic accounts with seven-figure annual contract values.
• Build strong relationships with executive sponsors and senior stakeholders.
• Develop multi-year account strategies focused on retention, satisfaction, and growth.
• Identify and close expansion opportunities within existing accounts.
• Partner with technical and implementation teams to understand customer needs and communicate platform value.
• Navigate complex technology environments involving data, integrations, analytics, AI/ML, and workflow solutions.
• Travel approximately 10-15% for customer meetings and onsite engagements.

What We’re Looking For

• 7+ years of experience in strategic account management, customer success, enterprise sales, or a similar role.
• Proven experience managing complex SaaS customers and multi-year relationships.
• Strong public sector experience, ideally with state-level organizations or public health agencies.
• HealthTech, healthcare, or Health & Human Services experience strongly preferred.
• Proven success growing existing customer relationships and generating new business.
• Strong executive communication and relationship management skills.
• Technical fluency with the ability to understand and communicate complex technology and data solutions.
• Comfortable working in a fast-paced, entrepreneurial environment with limited structure.
• Willingness to travel 10-15%.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst
London – Hybrid, 2 days per week
Up to £75,000

This is an exciting opportunity to join a growing analytics function within a leading digital consumer business. You’ll work with millions of user interactions, help shape product decisions, and play a key role in understanding customer behaviour, engagement, and retention across a large-scale digital platform.

The Company
They are a global digital business operating at the intersection of technology, content, and consumer engagement. Their products reach millions of users worldwide, generating vast amounts of behavioural and customer data.

The organisation is investing heavily in its data capabilities and product experience, with analytics playing a central role in driving growth and engagement. Joining at this stage offers the opportunity to influence how data is used across product, customer experience, and strategic decision-making.

The Role
As a Senior Data Analyst, you will work closely with Product, Technology, and Business stakeholders to understand user behaviour and identify opportunities to improve engagement across digital products.

Key responsibilities include:

• Analysing large-scale customer, audience, and behavioural datasets using SQL
• Investigating user journeys, engagement patterns, and customer cohorts
• Developing insights into how users interact with digital products and content
• Supporting product measurement, event tracking, and analytics frameworks
• Designing and analysing A/B tests and experimentation programmes
• Evaluating the impact of new features and product enhancements
• Identifying opportunities to improve retention, engagement, and user experience
• Working with web analytics and customer data to uncover actionable insights
• Supporting audience segmentation and customer identity analysis
• Translating complex analysis into clear recommendations for technical and non-technical stakeholders
• Partnering with Product and Engineering teams to ensure robust tracking and measurement
• Exploring opportunities to leverage AI tools to improve analytical workflows

Your Skills & Experience
You will likely bring:

• Advanced SQL skills with experience querying and manipulating large datasets
• Strong experience working with millions of rows of customer, user, or event-level data
• A background in digital analytics, customer analytics, audience analytics, CRM analytics, web analytics, or subscription analytics
• Experience analysing user behaviour, engagement, retention, or customer journeys
• Exposure to experimentation, A/B testing, or product measurement
• Experience working within cloud data environments such as BigQuery, Snowflake, Redshift, Databricks, Azure, or similar
• Strong stakeholder management and communication skills
• A naturally curious and problem-solving mindset
• Experience with GA4, digital analytics platforms, or product analytics tools would be advantageous
• Python or other analytical programming experience would be beneficial

What They Offer

• Opportunity to work with large-scale digital and behavioural datasets
• Exposure to Product Analytics and experimentation
• High visibility within a growing analytics function
• Career development opportunities and ongoing learning support
• Collaborative and data-driven culture
• Opportunity to influence product and customer experience strategy

How to Apply
If you’re a highly analytical Data Analyst with strong SQL skills and experience working with digital customer or audience data, apply now to discuss this opportunity in more detail.

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