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Analytics Manager

£110,000-£120,000

Fully Remote in the UK

The Company

A fast-growing, product-led scale-up in the online gaming and betting space is hiring an Analytics Manager to lead and shape its analytics function during a key growth phase; this is a high-impact hire reporting directly into the Head of Data, with ownership of analytics strategy, stakeholder engagement, and team development across a modern, tech-driven business. The company is building a next-generation consumer platform and scaling rapidly, offering the opportunity to influence decision-making across growth, product, trading, and commercial functions from day one!

The Role

This Analytics Manager role sits at the intersection of business strategy and technical execution; you will lead the analytics function, manage a growing team, and act as the key partner to senior stakeholders across the business. The role blends people leadership, technical guidance, and commercial impact.

You will:

• Lead and develop a small analytics team (analysts & analytics engineers)
• Partner closely with senior stakeholders across Growth, Product, Trading and Commercial
• Translate business problems into clear analytical questions and measurable outputs
• Own prioritisation of analytics work across the business
• Set and maintain high standards across SQL, modelling, dashboards and documentation
• Provide hands-on technical guidance and review work where needed
• Drive the evolution from reactive reporting to proactive, strategic analytics
• Help scale self-serve analytics and improve data maturity across the company

The environment is fast-paced and collaborative, with a strong focus on delivering commercial value through data.

Your Skills & Experience

I am looking for a technically strong analytics leader who enjoys working closely with stakeholders and driving business impact.

Key requirements:

• Proven experience leading analytics teams or acting as a senior analytics lead
• Strong stakeholder management and communication skills
• Hands-on technical background in analytics (strong SQL essential)
• Experience reviewing analytics work and setting best practices
• Ability to prioritise effectively across competing business demands
• Experience working in product-led or consumer tech environments

Nice to have:

• Gaming, betting, or gambling industry experience preferred
• If not, experience working in regulated industries (e.g. FS&I / FinTech)
• Familiarity with modern analytics stacks (dbt, Snowflake, BI tools such as Looker/Omni)
• Start-up or scale-up experience also preferred (but not essential)

The Benefits

• £110,000-£120,000
• Fully Remote role
• Opportunity to shape and scale an analytics function
• High ownership and direct impact on business performance
• Modern data stack and product-led environment
• Strong progression into senior data leadership

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analytics Consultant

£60,000-£70,000 + Bonus

Remote-First in the UK (1-2 days a month in London)

The Company

An established data, analytics and activation consultancy within a global media network is hiring a Digital Analytics Consultant to join its growing team. The business works closely with clients navigating change across analytics, activation, personalisation and data platforms, helping them join up tools, teams and measurement without unnecessary complexity or platform-led selling; known for its pragmatic, low-ego approach, the consultancy focuses on what will actually work for clients rather than pitching glossy strategies. With strong backing from a global network and an evolving operating model, this is a chance to shape how integrated data consulting is delivered in practice!

The Role

This is a client-facing Adobe-focused Digital Analytics Consultant position sitting between strategy and delivery. You’ll act as the day-to-day lead for clients, bringing strong Adobe Analytics expertise while helping organisations navigate wider analytics and experience challenges.

You’ll balance hands-on Adobe knowledge with client leadership: owning relationships, guiding roadmaps and ensuring delivery stays grounded and effective.

Key responsibilities include:

• Acting as SME across Adobe Analytics for key clients
• Supporting and leading end-to-end Adobe Analytics implementations
• Translating business requirements into technical delivery plans
• Owning client meetings, roadmaps and delivery coordination
• Presenting insights and recommendations to senior stakeholders
• Working across analytics, activation and experience programmes
• Supporting internal delivery improvements and best practice
• Contributing to new business conversations where required

Your Skills & Experience

I’m looking for candidates who enjoy breadth, client exposure and solving real-world data challenges

Key experience:

• Strong Adobe Analytics experience (implementation + analysis)
• Experience delivering analytics projects end-to-end
• Confident client-facing communication and stakeholder management

Nice to have:

• Adobe CJA / Customer Journey Analytics experience

The Benefits

• £60,000-£70,000
• Bonus
• Remote-first working
• London office visit once per month (preference for twice monthly, fully expensed)
• Opportunity to shape delivery within a growing consultancy
• Strong client exposure and progression opportunities

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Analyst
London – 3 days in the office
£45,000 to £50,000 plus benefits

This is a great opportunity to join a fast‑growing digital lender where you will work at the intersection of data, credit strategy, and product innovation. You will play a meaningful role in shaping credit decisioning and analytical capability within a business that places data at the centre of every decision.

The Company
They are a high‑growth financial services organisation building next‑generation lending products for homeowners across the UK. With a strong culture of ownership, innovation, and collaboration, they are scaling their credit, data, and technology functions to support continued expansion. Their environment suits people who enjoy autonomy, problem‑solving, and making an immediate impact.

The Role
You will work with credit risk, data, product, and engineering teams to deliver accurate, insightful analysis and reporting. Your work will directly support credit strategy, performance monitoring, and new product initiatives. Responsibilities include:

• Collecting, structuring, and validating data from internal and third‑party sources.
• Building dashboards, reports, and automated data pipelines to monitor portfolio and business performance.
• Analysing customer behaviour, portfolio trends, and decision outcomes to identify risks and opportunities.
• Turning analytical findings into clear, actionable recommendations for non‑technical stakeholders.
• Supporting the testing and monitoring of new credit policies, strategies, and decisioning engines.
• Ensuring data accuracy, consistency, and adherence to governance standards.

Your Skills and Experience

• Strong commercial experience in data analysis or business intelligence, ideally within lending or a fast‑paced tech environment.
• High proficiency in SQL for extracting, transforming, and structuring data.
• Experience with visualisation tools such as Power BI, Tableau, Looker, or similar.
• Ability to communicate insights clearly and collaboratively with stakeholders across the business.
• A curious, proactive mindset, with a drive to improve reporting processes, data quality, and decision‑making.
• Comfortable working in an evolving environment where you take ownership and navigate ambiguity.

What They Offer

• £45,000 to £50,000 base salary, plus discretionary bonus.
• 25 days annual leave plus bank holidays.
• Flexible working and work‑from‑anywhere allowance.
• Growth shares and benefits designed to support wellbeing, learning, and development.
• Opportunities to expand your career across credit risk or data engineering within a growing team.

How to Apply
If this BI Analyst role sounds like the right next step, please submit your application today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Software Engineer, Data Platform

Location: Los Angeles, CA

Salary: $180-230k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Staff Software Engineer, Data Platform to shape the long-term architecture and direction of the company’s data ecosystem.

The Role

At the Staff level, you will operate as a technical leader across the data platform, responsible for both delivery and direction. You will:

• Define and lead the roadmap for the data platform architecture
• Design scalable ingestion, transformation, and data service frameworks
• Establish engineering standards across data modeling, testing, CI/CD, and security
• Partner with senior stakeholders across operations, product, and engineering to align platform capabilities with business needs
• Drive architectural decisions that balance performance, scalability, and maintainability
• Mentor engineers and raise the technical bar across the team
• Take ownership of debugging and resolving complex system-level data issues

What They’re Looking For

• 7+ years of experience in data engineering, backend engineering, or platform engineering
• Strong expertise in Python or similar programming languages
• Deep experience with Spark, PySpark, SQL, and dbt
• Proven experience shaping scalable data architectures in cloud environments
• Strong systems thinking and ability to influence technical direction
• Comfort leading ambiguous, high-impact initiatives
• Clear communication skills and ability to partner with technical and non-technical leaders
• Must be a U.S. Person due to export-controlled information requirements

This is a senior technical leadership opportunity to define and scale the data backbone of a high-growth, technically ambitious organization.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Analytics Engineer
Location: Los Angeles, CA | Hybrid
Salary: $180-220k base

We’re partnering with a rapidly scaling, mission-driven advanced technology company operating at the intersection of AI, software, and complex real-world systems. Their platform ingests and operationalizes high-volume, real-time data to support critical decision-making in high-stakes environments.

As the organization grows, they are hiring a Staff Analytics Engineer to take ownership of core data domains and help shape the long-term architecture of the data platform.

The Opportunity

This is a senior, high-ownership role focused on building foundational data systems, not just reporting. You will define and evolve the ontologies and reusable data models that represent how the company operates across domains such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, executive reporting, and operational workflows across the business.

At the Staff level, you’ll influence platform direction, set engineering standards, and serve as a technical leader within the data organization.

What You’ll Do

• Lead the design and implementation of scalable, domain-level data models that serve as the backbone of the business
• Architect ingestion and transformation frameworks across diverse operational systems
• Set best practices for testing, version control, and CI/CD within analytics workflows
• Partner closely with engineering, product, and operations leaders to translate ambiguous needs into production-grade data systems
• Drive roadmap decisions for the data platform, balancing immediate delivery with long-term maintainability
• Mentor and raise the technical bar for analytics engineers across the team
• Push the organization beyond dashboards toward reusable data applications and self-serve analytics at scale

What They’re Looking For

• 7+ years of experience in Analytics Engineering, Data Engineering, or similarly technical data roles
• Deep expertise in SQL and strong proficiency in Python or another programming language
• Proven experience designing scalable, reusable data models in complex environments
• Strong background with modern data stack tools such as dbt, Redshift, and enterprise BI platforms
• Experience shaping data architecture and influencing technical direction
• High ownership mindset with the ability to operate autonomously
• Strong stakeholder management skills with both technical and non-technical leaders
• Ability to obtain and maintain a U.S. Secret security clearance

This is an opportunity to define how data is modeled and operationalized inside a technically ambitious, fast-scaling organization. If you’re excited by building durable systems that leadership relies on to run the business, this role offers significant scope and impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

• Define and develop domain-level data models that reflect real business operations
• Build secure, scalable, and extensible transformations and data pipelines
• Own ingestion and egress frameworks across multiple source systems
• Contribute to architectural decisions and roadmap direction for the data platform
• Partner cross-functionally with engineering, product, and operations stakeholders
• Translate ambiguous business questions into structured, production-grade data systems
• Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
• Advanced SQL skills and strong experience with Python or similar languages
• Demonstrated success building scalable, reusable data models in fast-paced environments
• Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
• High degree of ownership and comfort operating autonomously
• Strong communication skills and ability to partner with non-technical stakeholders
• Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

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Senior / Lead Data Engineer

London, Hybrid. (1-3 Days in London)

Up to £90,000 plus 25% bonus.

This is an exciting opportunity to lead data engineering within a growing organisation that is scaling its cloud data platform. You will take technical ownership of GCP data architecture, guide engineering standards, and deliver high quality pipelines that enable analytics and product teams across the business.

The Company

They are investing heavily in modern data capabilities and are building a cloud‑native environment to support their next phase of growth. Their teams work collaboratively across engineering, analytics, and product, creating an environment where data reliability, scalability, and innovation are core priorities. You will join a function where your leadership has clear impact on technical strategy and delivery.

The Role

* Lead the design and build of scalable data pipelines and platform components in GCP.

* Guide and develop data engineers, ensuring strong engineering practices and delivery standards.

* Create and maintain reliable batch and streaming workflows using GCP native tools.

* Develop robust data models and ensure high quality, well‑documented datasets.

* Champion data quality, governance, observability, and continuous improvement.

* Partner with cross‑functional teams to translate business needs into technical solutions.

* Contribute hands‑on to complex engineering challenges and architectural decisions.

Your Skills and Experience

* Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow.

* Proficiency in Python and SQL for building well‑structured, production‑grade pipelines.

* Familiarity with infrastructure as code, ideally Terraform.

* Experience leading technical delivery or guiding engineering standards.

* Comfortable operating across architecture, hands‑on engineering, and collaboration with non‑technical stakeholders.

* Strong awareness of data quality, testing, monitoring, and modern ELT patterns.

What They Offer

* Salary up to £90,000 plus 25% bonus.

* Hybrid working with office flexibility.

* Pension and a comprehensive benefits package.

* Dedicated training and development budget.

* Opportunity to shape data engineering strategy and influence long‑term platform decisions.

* Clear progression pathways within an expanding data function.

How to Apply

If this opportunity sounds like a good match, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

HEAD OF ENGINEERING

Up to £130,000 + BENEFITS

Remote UK based

This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You’ll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients.

THE COMPANY:

This is a business built on innovation, stability, and genuine technical excellence. Recently recognized for cutting-edge GenAI data work, they’re operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology.

THE ROLE:

• Own and execute the engineering roadmap
• Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
• Ensure systems can scale to handle massive datasets and evolving ML workloads
• Champion best practices around testing, observability, incident response, and documentation
• Set standards for AI-assisted development practices at scale

YOUR SKILLS AND EXPERIENCE:

• Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps

• Understanding how ML models are delivered, deployed, and maintained in production
• Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
• Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

HEAD OF ENGINEERING

Up to £130,000 + BENEFITS

Remote UK based

This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You’ll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients.

THE COMPANY:

This is a business built on innovation, stability, and genuine technical excellence. Recently recognized for cutting-edge GenAI data work, they’re operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology.

THE ROLE:

• Own and execute the engineering roadmap
• Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
• Ensure systems can scale to handle massive datasets and evolving ML workloads
• Champion best practices around testing, observability, incident response, and documentation
• Set standards for AI-assisted development practices at scale

YOUR SKILLS AND EXPERIENCE:

• Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps

• Understanding how ML models are delivered, deployed, and maintained in production
• Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
• Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Software Developer

Guildford (1.5 days a week on site)
Salary £90,000 plus benefits.

This is an exciting opportunity to join a growing engineering team working on complex, meaningful problems across aviation, defence, and public sector environments. You will work on end to end software delivery, solve challenging optimisation and modelling problems, and contribute to high impact products used by major organisations.

The Company
They are a specialist consultancy building bespoke software products that integrate directly into their customers’ environments. Their work focuses on solving high value technical challenges that clients cannot resolve internally, and they prioritise innovation and quality over volume. With rapid growth and a strong pipeline of diverse projects, they offer autonomy, variety, and the chance to work on impactful systems with real world application.

The Role
* Deliver full stack software solutions across backend and frontend.
* Design and build features using Java, Spring and a modern frontend framework.
* Collaborate with data scientists and engineers on optimisation and modelling projects.
* Contribute to engineering best practice across the development function.
* Take ownership of work and drive delivery with minimal oversight.
* Support problem solving, design discussions and code reviews.

Your Skills and Experience
* Strong commercial experience with Java and Spring for backend development.
* Experience with Angular or another modern frontend framework such as React or Vue.
* Confident working across the full stack, including cloud based environments.
* Familiarity with Azure or Terraform is beneficial but not essential.
* Ability to write high quality code with a focus on maintainability and security.
* Comfortable working independently and collaborating in small teams.
* Experience mentoring others is useful but not required.

What They Offer
* Salary of £90,000.
* Hybrid working with 1.5 days per week in the office.
* 5 percent pension match.
* 25 days holiday plus bank holidays, with the option to buy more.
* Five days paid training per year.
* Five days paid charity work per year.
* Up to one month per year working remotely from abroad.
* Annual pay rise and performance based bonus.
* A variety of high impact projects across multiple domains.

How to Apply
If this Senior Software Developer role in Guildford sounds like the right next step, apply today.

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Senior Data Engineer
Central London (2-3 days a week)
Salary £90,000 plus benefits.

This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.

The Company
They are a digital‑focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.

The Role
* Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment.
* Build well structured data models and curated layers to support reporting and analytics.
* Improve data quality, observability, governance, and overall platform reliability.
* Lead architectural decisions and support a review of existing workflows and pipelines.
* Contribute to ongoing transformation and migration projects.
* Provide technical guidance and mentor a junior engineer.

Your Skills and Experience
* Strong commercial experience working with AWS in production environments.
* Proficiency in Python and SQL for data processing and orchestration.
* Experience with Airflow for workflow management.
* Knowledge of cloud data warehousing, ideally Redshift.
* Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub.
* Ability to build reliable, governed pipelines with strong data quality and lineage practices.
* Experience in regulated settings or fast moving scale ups is beneficial.

What They Offer
* Salary of £90,000.
* Hybrid working with 2-3 days in the office.
* A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options.
* Opportunities to influence architectural direction within a modern data and AI function.
* Clear progression as the data team continues to grow.

How to Apply
If this London based Senior Data Engineer role sounds like the right next step, apply now.

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