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Location: On-site once every 2 weeks – London
Contract: 12 months
IR35: Inside
Rate: Up to £650pd
Start: ASAP (max 2-3 weeks’ notice)

Overview

The role sits within a key project focused on third-party hardware licensing, where an initial workflow has already been built. The focus now is on enhancing, scaling, and expanding this solution.

This is a hands-on development role, not a consultancy position, they are looking for someone who can actively build, iterate and drive delivery.

Key Responsibilities

• Design, build and implement enhancements across the ServiceNow platform
• Translate business requirements into technical designs and solutions
• Develop and deliver platform changes end-to-end
• Work in an agile environment, gathering requirements and delivering in sprints
• Plan, estimate and deliver ongoing platform improvements and workflow enhancements
• Provide technical guidance on ServiceNow capabilities and best practices
• Engage and influence stakeholders in a consultative manner

Requirements

• 3+ years’ strong hands-on ServiceNow development experience
• Experience building and developing ServiceNow Service Portals (public-facing)
• Experience building custom applications with a focus on UX/UI
• Strong experience translating business requirements into technical solutions
• Experience working in Agile, Scrum or SAFe environments
• Strong stakeholder engagement and communication skills
• Comfortable working at pace and delivering to tight deadlines
• Strong problem-solving skills, with the ability to work independently and within a team

Technical Skills

• ServiceNow platform development and workflow configuration
• Web technologies: JavaScript, AngularJS, HTML, CSS, Bootstrap
• APIs and integrations: REST, SOAP, JSON, HTTP
• Experience building and maintaining ServiceNow integrations
• Strong troubleshooting, documentation and debugging capability

Desirable Experience

• Experience with ServiceNow CSM (Customer Service Management)
• Exposure to Jira and Confluence
• Understanding of ServiceNow core platform architecture
• Knowledge of SaaS / cloud environments and ServiceNow licensing

Certifications (Desirable)

• ServiceNow Certified Application Developer (CAD)
• ServiceNow CSM (CIS-CSM)

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Key Responsibilities

• Build pixel‑perfect UI components with modern CSS and responsive techniques.
• Develop frontend features and pages using TypeScript and Next.js.
• Create reusable, scalable components supported by a design system.
• Integrate REST or GraphQL APIs into dynamic, data‑driven UIs.
• Implement and maintain components within Storybook or similar tools.
• Optimize for performance, SEO, and accessibility standards (WCAG).

Requirements: Must Have

• 2 to 3 years of professional frontend development experience.
• Strong skills in CSS, TypeScript, and Next.js.
• Experience building reusable UI components.
• Ability to translate design files into pixel‑accurate UI.
• Experience integrating with APIs (REST or GraphQL).

Nice to Have

• Experience with headless CMS platforms such as Strapi.
• Familiarity with design systems and component libraries.
• Accessibility and SEO optimization experience.

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The Company

We’re working with a globally recognised organisation undergoing a major HR transformation programme. This is a high-impact project within a well-established data function, where multiple hires have already been successfully placed.

You’ll be joining a growing team focused on modernising HR data architecture and delivering key data products that will shape business decision-making.

The Role

This is an exciting opportunity for a Data Architect with HR data experience to play a key role in a large-scale transformation programme.

You’ll work closely with senior stakeholders, including another project lead, to design and implement scalable data solutions, bringing together legacy Oracle systems with modern cloud-based platforms.

Key responsibilities include:

• Designing and developing data models to support HR data transformation
• Leading on data ingestion and architecture, ensuring smooth integration across systems
• Supporting the transition from traditional ETL processes to modern data engineering practices
• Working closely with Oracle teams to understand existing data structures
• Ensuring alignment between architectural design and engineering delivery
• Collaborating with stakeholders to understand reporting and data usage across insight teams
• Delivering 6 key data products by September, enabling downstream ETL processes

Your Skills & Experience

• Strong experience as a Data Architect within complex environments
• Proven experience working with HR data
• Hands-on experience with AWS and Snowflake
• Experience working with Oracle-based systems
• Strong stakeholder management and communication skills
• Ability to bridge the gap between architecture and engineering teams

The Team

You’ll join a tight-knit team of:

• 2 Data Engineers
• 1 Business Analyst

Alongside wider internal data and Oracle teams.

Interview Process

• 1-stage interview (1 hour) with 2 technical team members

Additional Details

• Start Date: ASAP
• Contract Length: 6 months (high likelihood of extension into next year)
• Day Rate: £630 per day
• Notice Period: Ideally 2 weeks (up to 4 weeks considered)

Why Apply?

• High-impact role in a major transformation programme
• Opportunity to shape modern data architecture within HR
• Work with cutting-edge tools including Snowflake & AWS
• Strong likelihood of contract extension

If this sounds like a good fit, apply now or reach out for more details.

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Senior Digital Analyst
London or Leeds, Outside IR35, £350 – 400/day

This is an opportunity to join a busy digital analytics function at a time when they are delivering a high volume of GA4, GTM and Looker Studio projects for a major programme of work. You will step into a team that is looking for someone who can hit the ground running across analytics, reporting and measurement.

The Company
They are a well-established digital agency with strong expertise in data, digital performance and analytics. The team works closely with internal stakeholders across paid media and digital channels. They operate a collaborative environment with a small analytics team of around eight people. While not heavily client facing, there is scope for this to evolve depending on project demands.

The Role and Deliverables
* Build Looker Studio dashboards to track paid media performance across channels such as LinkedIn, Facebook and Google Ads.
* Work with GA4 data across web and campaigns, identifying key metrics and pulling data into dashboards.
* Implement and refine event tracking using GTM, ensuring accurate data capture for reporting.
* Support internal stakeholders with insights on media spend, leads generated and digital performance trends.

Your Skills and Experience
* Strong hands-on experience with GA4 data across web and campaign measurement.
* Confident using GTM for event tracking, validation and troubleshooting.
* Solid capability in Looker Studio, including building dashboards and blending data.
* Familiarity with social listening tools such as Brandwatch is a nice to have.
* Comfortable collaborating with stakeholders.

How to Apply
If this freelance project matches your experience, please get in touch to discuss the next steps.

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CMS Architect – Contentful – Contract
Agency – Telco Client
£350-£390 per day – Outside IR35
London – 1 day per week in the office

This contract offers the chance to take ownership of a high impact Contentful ecosystem for a major digital team. You will step into a strategically important role where you will shape how content is architected, structured and delivered across key customer-facing channels.

The Company

They are a well known consumer brand with a large digital presence and a strong focus on modern content operations. Their teams are investing heavily in scalable content platforms and digital experience capabilities, with Contentful at the centre of their technology stack. You will join a collaborative environment and work closely with product, engineering and content teams.

The Role and Deliverables

• Lead the architecture, configuration and optimisation of the Contentful platform, ensuring scalable content structures and schemas.
• Design and implement content models that support complex digital experiences and integrate with internal and external systems.
• Own the governance and structure of the Digital Asset Management setup, ensuring assets are organised and accessible within CMS workflows.
• Work with cross functional teams to translate content requirements into robust architectural solutions within Contentful.
• Support integrations with personalisation and experience platforms, ensuring seamless connectivity with the CMS.
• Manage knowledge transfer with the existing specialist to ensure a smooth transition.

Your Skills & Experience

• Strong hands-on expertise configuring and architecting Contentful, including content modelling, schemas and governance.
• Solid understanding of CMS architecture and how content platforms integrate with wider business systems.
• Practical experience working with Digital Asset Management solutions for web and digital experience delivery.
• Familiarity with personalisation tools that connect with CMS platforms such as Adobe Target or Optimizely.
• Confident working with cross functional teams and translating requirements into technical configuration.
• Able to start at short notice and work on site in London one day per week.

How to Apply

If you have strong Contentful architecture experience and want to lead a key CMS project, please apply with your CV to be considered.

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ANALYTICS ENGINEER

£500 – £550 PER DAY INSIDE IR35
HYBRID (1 DAY PW IN THE OFFICE – LEICESTER)
3 MONTH CONTRACT

THE COMPANY:

This organisation is currently undergoing a digital transformation, with a strong focus on improving how operational data is utilised across the business. They are looking for an Analytics Engineer to help define “what good looks like” by connecting operational data to the wider business, improving forecasting capabilities, and identifying opportunities to drive efficiency through better modelling, reporting, and potential automation.

THE ROLE:

You will play a key role in bringing together disparate data sources (including Zendesk and internal back-office systems) to create a unified, well-modelled, and accessible data layer. Your responsibilities will include:

• Integrating and modelling operational data into a cohesive analytics layer

• Building and maintaining robust data pipelines

• Developing standardised data models using SQL and dbt (analytics engineering best practices)

• Designing and maintaining transformations aligned to a semantic / reporting layer

• Identifying and resolving data quality issues, including duplicates and inconsistencies

• Creating clean, reliable datasets to support downstream reporting and analytics

• Building and supporting dashboards and reporting in Lightdash

• Supporting and enhancing the use of Lightdash across the business

• Collaborating with Ops, Data, Product, and senior stakeholders including the CFO

• Identifying opportunities for automation, optimisation, and improved efficiency

YOUR SKILLS AND EXPERIENCE:

Essential:

• Strong experience as an Analytics Engineer, BI Developer, or Data Engineer with a focus on modelling

• Advanced SQL skills and hands-on experience with dbt

• Experience with Lightdash or Looker (semantic layer / BI tools)

• Experience designing and building data models and transformations

• Strong stakeholder management and ability to communicate with non-technical teams

• Experience working with operational or business process data

Desirable:

• Experience with Zendesk or similar customer/operations platforms

• Familiarity with Airflow or similar orchestration tools

• Python experience for data processing or automation

• Experience working with operational, transactional, or workflow-driven datasets

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I’m hiring for a Senior BI Analyst to join a large, well‑known consumer membership platform supporting millions of users across the UK. This is a delivery‑focused contract role designed to make fast impact while the wider data team scales and restructures. You’ll help build the foundations for long‑term reporting, insight, and operational decision‑making.

You’ll work closely with Operations, Product, and Data teams to build dashboards, connect multiple data sources, and generate insights that improve member experience and operational performance. This is ideal for someone who enjoys hands‑on BI development, solving messy data problems, and delivering clarity quickly.

What you’ll be doing

Dashboarding & reporting (initial priority)

• Build and optimise dashboards across operational performance (contact centre, member support, etc.).
• Connect multiple datasets to create a single source of truth for Ops teams.
• Improve visibility of key operational metrics and build scalable reporting frameworks.

Operational insight & analysis

• Analyse activity across email, chat, social, help centre, and chatbot channels.
• Deep dive into SLAs, backlog, productivity, repeat contact, complaints, and escalation trends.
• Translate complex analysis into clear, actionable recommendations that influence decisions.

Data manipulation & integration

• Extract and manipulate data from CRM, ticketing systems, workforce management tools, and other operational datasets.
• Ensure accuracy, consistency, and strong governance foundations across datasets.

Stakeholder collaboration

• Partner with Operations, Product, and Data teams to align insight priorities.
• Communicate insights clearly and support data‑driven decision‑making across the organisation.

What you bring

Essential

• Strong SQL (or equivalent querying experience).
• BI tooling experience, ideally Looker and/or Lightdash.
• Experience manipulating large and complex datasets.
• Proven ability to build and automate dashboards and reporting.
• Strong analytical and problem‑solving skills.
• Excellent communication and data‑storytelling abilities.
• Comfortable in fast‑paced, evolving environments.

Desirable

• Experience with dbt or similar transformation tools.
• Experience with CRM/ticketing data or customer insight environments.
• Exposure to contact‑centre or service operations (not essential).
• Experience in high‑growth, ecommerce, or membership‑based businesses.
• Python or modern data tooling (nice to have).

Candidate background

The team is open to candidates from Customer Insight, CX, Marketing Analytics, Product Analytics, or Operations Analytics – core BI ability matters most.

Why this role

• Immediate impact across a huge user base.
• Big, varied datasets from multiple systems.
• Autonomy to fix foundations and influence long‑term analytics direction.
• Hybrid (1 day a week)

Contract

• 3‑month FTC or day‑rate contract
• High likelihood of extension
• FTCs receive company benefits

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Location: Leicester (1 day per week on-site)
Contract: 3 months
IR35: Inside
Rate: £400-500pd
Start: ASAP

Overview

We’re supporting a business undergoing an operational transformation, focused on improving visibility, efficiency, and automation across their customer operations function.

Currently, operational data sits across siloed systems (including Zendesk and internal back-office tooling), making it difficult for the business to get a clear, joined-up view.

This role will focus on connecting these data sources, building reliable data models, and enabling the business to identify automation opportunities, improve forecasting, and drive operational efficiency.

The Role

You’ll work closely with the Operations team (reporting into the Ops Lead) as well as Data and Product teams to:

• Integrate Zendesk and back-office systems into the wider data ecosystem
• Build and standardise clean, scalable data models using SQL and DBT
• Identify data duplication issues and implement automation improvements
• Develop reporting and dashboards (Lightdash / Looker) for operational teams
• Support stakeholders in understanding and using data to drive decisions
• Collaborate with non-technical stakeholders across Ops, Product, Data and Finance (CFO level)
• Help define “what good looks like” in terms of data visibility and operational insight

This role is initially:

• ~80% data modelling (SQL / DBT)
• ~20% insights, reporting and stakeholder engagement
  (with potential to shift more toward reporting over time)

Key Deliverables

• Reliable, standardised data models across operational datasets
• Clear identification of operational inefficiencies and automation opportunities
• A suite of dashboards and reporting enabling better decision-making
• Improved data visibility across previously siloed systems
• Empowered stakeholders using data for forecasting and performance tracking

Required Experience

• Strong SQL and DBT experience (core requirement)
• Experience working with operational / customer support / contact centre data
• Exposure to Zendesk or similar customer support tooling
• Dashboarding experience (Lightdash, Looker or similar)
• Experience identifying automation opportunities within data workflows
• Strong stakeholder engagement skills (non-technical teams)

Nice to Have

• Exposure to Airflow
• Python experience

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BI DEVELOPER

£480 – £500 PER DAY INSIDE IR35

HYBRID (1 DAY PW IN THE OFFICE – LEICESTER)

3 MONTH CONTRACT

THE COMPANY:

This organisation is currently undergoing a digital transformation, with a strong focus on improving how operational data is utilised across the business. They are looking for a BI Developer to help define “what good looks like” by connecting operational data to the wider business, improving forecasting capabilities, and identifying opportunities to drive efficiency through better reporting and potential automation.

THE ROLE:

You will play a key role in bringing together disparate data sources (including Zendesk and internal back-office systems) to create a unified and accessible data view. Your key responsibilities will include:

• Bringing together and integrating operational data with the wider business
• Building and maintaining robust data pipelines
• Developing standardised data models using SQL and dbt
• Identifying and resolving data quality issues, including duplicates
• Creating clear, actionable reports for non-technical stakeholders
• Building dashboards and reports on Lightdash
• Supporting and enhancing Lightdash usage
• Collaborating with Ops, Data, Product, and senior stakeholders including the CFO
• Identifying opportunities for automation and improved efficiency

YOUR SKILLS AND EXPERIENCE:

Essential:

• Strong experience as a BI Developer / Analytics Engineer / Data Engineer
• Advanced SQL skills and hands-on experience with dbt
• Experience with Lightdash or Looker
• Experience building data pipelines and data models
• Strong stakeholder management and ability to communicate with non-technical teams
• Experience working with operational or business process data

Desirable:

• Experience with Zendesk or similar customer/operations platforms
• Familiarity with Airflow
• Python experience
• Experience working with operational data

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HubSpot Specialist (Remote US, Part-Time)

$30 per hour

20 hours per week

About the Company

A growing digital marketing agency specialising in SaaS, healthcare, and fintech clients is seeking a skilled HubSpot Specialist to support ongoing implementations and workflow optimisation.

Role Overview

The agency is looking for an organised and detail-oriented HubSpot Specialist to support the implementation and optimisation of Service Hub and Sales Hub, including clients transitioning from Professional to Enterprise. The role involves auditing client portals, improving workflows, and interfacing directly with clients to understand business needs and translate them into effective HubSpot configurations.

This is a part-time position (approx. 20 hours per week) with potential to increase depending on performance, demand, and ability to contribute to strategy.

Key Responsibilities

• Conduct comprehensive audits of client HubSpot portals and websites.
• Analyse, document, and optimise client workflows across Service Hub and Sales Hub.
• Manage ongoing requests from clients for workflow, process, and automation improvements.
• Liaise directly with clients to understand requirements, gather technical specifications, and provide solutions.
• Support clients migrating or upgrading within the HubSpot ecosystem (e.g., Professional → Enterprise).
• Stay current with HubSpot product updates and apply relevant enhancements to client accounts.
• Collaborate with internal team members and contractors to deliver high‑quality, consistent results.

Essential Requirements

• HubSpot Certified (non-negotiable) with strong knowledge of Sales Hub and Service Hub.
• Demonstrated experience auditing, documenting, and improving workflows within HubSpot.
• Strong client-facing communication skills, with the ability to interpret and translate requirements.
• Solid organisational skills and attention to detail.
• Awareness of the latest HubSpot rollouts and product updates.

Preferred Skills

• Experience using AI tools within HubSpot (e.g., HubSpot’s AI features).
• Familiarity with Claude or similar AI tools (beneficial but not essential).
• Strategic marketing or CRM advisory experience.

Working Structure

• Approximately 20 hours per week, with room to increase if strategy work is incorporated.
• Manage between 3-6 clients, depending on demand.
• Fully remote working environment.

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Head of Marketing Analytics (CONTRACT)

£650-£700 per day (Inside IR35)

3 Month Contract

London – based

This is an opportunity to lead a high impact marketing and analytics programme for a global digital business. You will shape how they measure media effectiveness, drive clarity from complex data, and influence pivotal commercial and marketing decisions.

The Company

They are a well-established digital organisation operating in a fast paced, multi-channel environment. With a strong focus on growth and customer engagement, they rely on sophisticated analytics to optimise investment and performance. Their teams collaborate closely across marketing, product, data and finance, and they value clear, insight led decision making. This contract sits within a strategically important programme where your work will have immediate visibility and impact.

The Role and Deliverables

• Lead the marketing and analytics workstream, setting the strategy for marketing mix modelling and effectiveness measurement.
• Own the design, implementation and refinement of MMM approaches that quantify the impact of media and other growth drivers.
• Use SQL to build and maintain datasets and pipelines that support modelling, reporting and insight.
• Translate analytical outputs into clear recommendations for senior marketing, commercial and finance stakeholders.
• Partner with media, performance marketing and marketplace teams to inform channel mix, budget allocation and campaign strategy.
• Deliver concise dashboards, frameworks and playbooks that guide investment decisions beyond the contract period.

Your Skills and Experience

• Strong experience leading marketing analytics or marketing science initiatives in complex environments.
• Deep practical expertise in marketing mix modelling, including building, running and interpreting MMM.
• Confident SQL skills with the ability to extract, manipulate and validate large datasets.
• Experience working with media data across brand and performance channels to inform strategy.
• Background in digital, marketplace or multi-channel businesses.
• Comfortable engaging senior stakeholders and communicating complex concepts clearly.
• Collaborative approach, able to partner effectively across marketing, data, product and finance.

How to Apply

Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.

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ML Engineer

£500-£560

The Company

They are a well‑established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact.

The Role

In this role, you will:
* Design and implement pipelines for training, evaluating, deploying, and monitoring detection models
* Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows
* Collaborate with backend and product teams to define integration requirements for trust detection services
* Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real‑time model serving, feature consistency, and monitoring
* Uphold strong standards around testing, observability, and operational excellence
* Contribute to a scaling engineering culture where experimentation and measurable outcomes are central

Your Skills and Experience
* Strong commercial experience building and deploying ML pipelines in production
* Experience with asynchronous ML inference pipelines
* Deep understanding of end‑to‑end ML workflows from research through to deployment
* Ability to operate with ownership in complex, fast‑moving environments
* Strong communication skills for working with both technical and non‑technical stakeholders
* Experience designing systems within modern cloud environments such as AWS or GCP
* Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit‑learn
* Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing
* Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow

How to Apply
If you are interested in this Machine Learning Engineer position, please apply with your CV.

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