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Engagement and Lifecycle Manager (Payments)
London Bridge, hybrid working three days in office, salary up to £48,000
This is a high-impact opportunity to own a critical part of the customer lifecycle for a large subscription-based business. The role sits at the intersection of CRM, payments, and customer experience, giving you real ownership over a pivotal commercial project with clear, measurable outcomes.
The Company
They are a well-established, consumer-facing organisation operating at significant scale, with a strong subscription model and a diverse portfolio of digital and media products. Customer experience sits at the heart of their strategy, and they continue to invest heavily in data-driven CRM, lifecycle marketing, and personalisation. The business operates in a collaborative, cross-functional environment with strong backing for strategic initiatives.
The Role

• Own the end-of-lifecycle contact strategy focused on payments, renewals, and failed or declined transactions
• Design and optimise customer communications to reduce payment-related churn and improve retention
• Analyse subscriber behaviour to understand why customers default and how to prevent this through smarter engagement
• Segment customers based on risk, payment method, and behaviour to deliver targeted and relevant messaging
• Define campaign strategy, content approach, and testing frameworks, working with CRM, design, and engineering teams for execution
• Run and evaluate tests across messaging, timing, and channels to identify what drives the best outcomes
• Track performance through key metrics such as payment success rates and churn reduction, clearly demonstrating business impact
• Contribute to wider lifecycle and win-back initiatives as the role evolves

Your Skills & Experience

• Strong experience in CRM, lifecycle, or retention marketing within a subscription-based business
• Proven exposure to payments, billing, renewals, or transactional communications
• Experience working with CRM platforms or customer data platforms such as Braze, Adobe, Salesforce Marketing Cloud, or similar
• Comfortable working with large customer datasets and translating insight into clear communication strategies
• A strategic mindset with the ability to influence stakeholders while collaborating closely with product, technology, and design teams

What They Offer

• Salary up to £48,000
• Hybrid working with three days per week in the London office
• Private medical insurance, including pre-existing conditions
• Generous pension contribution and enhanced family leave policies
• Extensive wellbeing support, training opportunities, and full access to LinkedIn Learning
• 25 days holiday plus bank holidays and volunteering days
• A broad range of lifestyle benefits, discounts, and exclusive experiences

How to Apply
Apply now to find out more about this opportunity and how you could play a key role in shaping payment and lifecycle strategy for a large-scale subscription business.

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Principal Data Engineer

Location: Remote, USA
Salary: $220,000 – $240,000

The Opportunity

This is a senior leadership role offering the chance to shape modern, large-scale data platforms from the ground up. You’ll have end-to-end ownership across architecture, delivery, and strategy, driving the development of AI-ready data systems that power real-world applications.

About the Company

Our client is a technology-driven organisation specialising in enterprise-grade data and AI solutions. They operate at the intersection of engineering excellence and practical delivery, building production-ready systems at speed. Their teams are highly collaborative, multidisciplinary, and focused on delivering measurable, business-critical impact.

The Role

As Principal Data Engineer, you will lead the design and execution of the company’s data strategy, working closely with engineering, product, and senior leadership.

Key responsibilities include:

• Defining and owning data platform strategy across pipelines, data lakes, and warehouses

• Designing, building, and optimising scalable batch and real-time data pipelines

• Establishing robust data governance, quality standards, and compliance frameworks

• Architecting data systems for AI and machine learning use cases, including embeddings, vector databases, and RAG workflows

• Driving platform modernisation with a focus on performance, scalability, and cost efficiency

• Collaborating cross-functionally to align data initiatives with business objectives

• Mentoring engineers and championing best practices across the organisation

Skills & Experience

We’re looking for a technical leader with a strong background in large-scale data systems:

• Proven experience designing and delivering distributed data platforms at scale

• Strong programming skills in Python and SQL, with additional experience in Scala or similar

• Deep expertise in cloud-native data ecosystems and modern data warehousing

• Experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub

• Strong understanding of data modelling, governance frameworks, and data quality practices

• Hands-on experience supporting AI/ML data pipelines and workflows

• Familiarity with CI/CD pipelines and containerised environments

• Excellent stakeholder management and communication skills

• Demonstrated leadership and mentoring experience

What’s on Offer

• High-impact role with ownership of critical data strategy and architecture

• Opportunity to work on cutting-edge AI and data platform initiatives

• Clear progression within a senior technical leadership track

If you’re interested feel free to email your application

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Staff Data Engineer

Remote, USA

$180,000 to $210,000 USD

This is a high-impact Staff Data Engineer role where you will help shape and deliver modern, enterprise-scale data platforms. You will play a key part in defining architecture, driving best practices, and enabling AI-ready data systems that support real production use cases.

The Company

They are a technology-driven organisation focused on building scalable data and AI solutions for enterprise clients. Their work combines strong engineering fundamentals with practical delivery, ensuring systems are reliable, secure, and built for real-world application. Teams are collaborative and multidisciplinary, working closely across data, engineering, and product to deliver measurable results. They operate at pace, with a clear focus on quality and impact.

The Role

* Design and deliver scalable data platforms across pipelines, warehouses, and data lakes

* Build and optimise batch and real-time data pipelines

* Define and enforce data governance, quality, and compliance standards

* Support the design of data systems for AI and machine learning, including embeddings and feature pipelines

* Improve platform performance, scalability, and cost efficiency

* Implement monitoring, logging, and CI/CD processes for data systems

* Collaborate with cross-functional teams to deliver end-to-end data solutions

* Mentor engineers and contribute to engineering standards and best practice

Your Skills and Experience

* Strong commercial experience building and scaling distributed data systems

* Expertise in Python, SQL, and either Scala or a similar language

* Deep knowledge of cloud-based data platforms and data warehousing

* Experience with data pipeline orchestration and processing

* Strong experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub

* Solid understanding of data modelling, transformation, and governance frameworks

* Experience working with containerised environments and CI/CD pipelines

* Hands-on experience supporting AI and machine learning data workflows

* Strong communication skills and ability to work across technical and non-technical teams

What They Offer

* 180,000 to 210,000 USD base salary

* Fully remote working across the US

* Opportunity to influence data architecture and engineering standards

* Exposure to modern AI and data platform technologies

* Clear progression within a technical leadership track

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Engineer

Location: Remote, USA

Salary: $180,000 to $210,000 USD

This is a high-impact Staff Data Engineer role where you will help shape and deliver modern, enterprise-scale data platforms. You will play a key part in defining architecture, driving best practices, and enabling AI-ready data systems that support real production use cases.

The Company

They are a technology-driven organisation dedicated to delivering scalable data and AI solutions for enterprise clients. Their approach blends strong engineering foundations with practical execution, ensuring systems are robust, secure, and built for real-world use. Teams collaborate across data, engineering, and product disciplines to deliver measurable outcomes. Operating at pace, they maintain a strong focus on quality, efficiency, and impact.

The Role

• Design and deliver scalable data platforms across pipelines, warehouses, and data lakes
• Build and optimise batch and real-time data pipelines
• Define and enforce data governance, quality, and compliance standards
• Support the design of data systems for AI and machine learning, including embeddings and feature pipelines
• Improve platform performance, scalability, and cost efficiency
• Implement monitoring, logging, and CI/CD processes for data systems
• Collaborate with cross-functional teams to deliver end-to-end data solutions
• Mentor engineers and contribute to engineering standards and best practice

Your Skills and Experience

• Strong commercial experience building and scaling distributed data systems
• Expertise in Python, SQL, and either Scala or a similar language
• Deep knowledge of cloud-based data platforms and data warehousing
• Experience with data pipeline orchestration and processing
• Strong experience with streaming technologies such as Kafka, Kinesis, or Pub/Sub
• Solid understanding of data modelling, transformation, and governance frameworks
• Experience working with containerised environments and CI/CD pipelines
• Hands-on experience supporting AI and machine learning data workflows
• Strong communication skills and ability to work across technical and non-technical teams

What They Offer

• Opportunity to influence data architecture and engineering standards
• Exposure to modern AI and data platform technologies
• Clear progression within a technical leadership track

To Apply for this Job Click Here

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AI Infrastructure Engineer

Location: New York (4 Days Onsite)

Base Salary: $200k + 50% bonus

This is a rare opportunity to shape the AI foundations of a complex, global organisation at a pivotal moment in its technology journey. You will play a central role in building secure, production-grade infrastructure that enables intelligent agents and AI-driven development across the business. For engineers who want to be close to real AI use cases while owning core platform decisions, this role offers genuine impact and visibility.

The Company
They are a global investment and technology-led organisation operating across multiple regions, with a strong reputation for engineering excellence and data-driven decision making. The business runs sophisticated, high-performance systems in a fast-moving environment and continues to invest heavily in modern infrastructure and AI capabilities. Collaboration, technical depth, and thoughtful system design sit at the heart of their culture. The organisation operates a hybrid working model with a strong in-office engineering presence.

The Role
You will sit within a broader infrastructure function, working closely with AI, data, and platform engineering teams to design and deliver the next generation of AI infrastructure.

• Architect and build scalable, production-grade AI infrastructure and platforms.
• Design and operate Kubernetes-based environments supporting containerised AI workloads.
• Enable intelligent agent platforms, orchestration frameworks, and secure execution environments.
• Own reliability, observability, and operational stability for AI systems in production.
• Implement governance, security, and access controls to ensure safe and compliant AI usage.
• Partner with internal engineering teams to drive adoption of AI-enabled tooling and best practices.

Your Skills & Experience

• Strong commercial experience running Kubernetes in production environments.
• Background in infrastructure engineering, SRE, or platform engineering for complex systems.
• Solid understanding of security-first design, including authentication, API security, and secure system architecture.
• Experience supporting AI or ML platforms, agent-based systems, or developer tooling is beneficial, but deep AI research experience is not required.
• Clear communicator who can work effectively with senior engineers and technical stakeholders.

What They Offer

• High-impact role building core AI infrastructure used across the organisation.
• Exposure to senior technology leadership and mission-critical systems.
• Strong investment in tooling, learning, and long-term career development.
• Hybrid working model with four days per week in the New York office.
• Please note, visa sponsorship is not available for this role.

How to Apply
Apply now to learn more about this opportunity or speak to a specialist consultant about whether this role aligns with your experience and career goals.

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Principal Data Engineer
Remote, USA
$220,000 to $240,000

A senior leadership opportunity to shape modern data platforms at scale. This role offers end to end ownership across architecture, delivery, and strategy, with a strong focus on AI ready data systems that power real world applications.

The Company
They are a technology led organisation focused on building enterprise grade data and AI solutions. Their work sits at the intersection of engineering excellence and practical application, delivering production ready systems at pace. Teams are collaborative, multidisciplinary, and focused on measurable impact.

The Role
* Define and lead data platform strategy across pipelines, warehouses, and data lakes
* Build and optimise scalable batch and real time data pipelines
* Establish governance, quality standards, and compliance frameworks
* Design data architecture for AI and machine learning systems, including embeddings, vector stores, and RAG workflows
* Drive platform modernisation across performance, cost, and scalability
* Collaborate with engineering, product, and leadership to align data strategy
* Mentor engineers and set best practices across the team

Your Skills and Experience
* Strong experience designing and delivering distributed data systems at scale
* Expertise in Python, SQL and either Scala or similar
* Deep knowledge of cloud native data platforms and data warehousing
* Experience with streaming technologies such as Kafka, Kinesis or PubSub
* Proven capability in data modelling, governance, and data quality frameworks
* Hands on experience building data pipelines for AI and machine learning use cases
* Experience with CI CD and containerised data environments
* Strong stakeholder communication and technical leadership skills

What They Offer
* 220,000 to 240,000 USD base salary
* Fully remote working across the US
* High impact role with ownership of data strategy and architecture
* Opportunity to work on cutting edge AI data systems
* Clear progression within a senior technical leadership track

To Apply for this Job Click Here

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Senior Engagement Manager

£100,000 – £120,000

London or Leeds (2 days a week on-site + client sites as needed)

This is a high impact opportunity to shape and lead complex analytics consulting engagements within a growing advisory capability. You will work closely with senior stakeholders across financial services, helping organisations unlock commercial value through data driven decision making while building a scalable consulting practice.

THE COMPANY

They are a global organisation with a strong presence in data, analytics and risk solutions, supporting clients across a range of industries including financial services, retail and telecommunications. Their consulting arm is expanding rapidly, bringing together deep domain expertise and advanced analytics to solve complex business challenges. The business operates at scale internationally and offers strong investment in both people and capability development. They promote a collaborative and inclusive culture with a focus on long term impact.

THE ROLE

As a Senior Engagement Partner, you will lead end to end analytics consulting engagements, combining client leadership with hands on delivery oversight and commercial ownership.

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

• Act as the primary point of contact for senior client stakeholders, guiding decision making and building trusted partnerships.
• Own delivery from problem definition through to measurable business outcomes.
• Lead multi workstream programmes, coordinating cross functional and global teams.
• Drive business development activities including proposals, pitches and account growth.
• Shape analytics solutions across modelling, experimentation, data extraction and visualization.
• Translate analytical insights into commercial outcomes across areas such as risk, pricing, fraud and customer strategy.
• Develop consulting frameworks, reusable assets and delivery playbooks.
• Support the growth of the consulting practice through hiring, mentoring and capability building.

SKILLS AND EXPERIENCE

The successful Senior Engagement Partner will have the following skills and experience:

• Strong commercial experience within analytics consulting, ideally within banking, fintech or payments.
• Proven ability to lead complex programmes and influence senior stakeholders.
• Experience delivering data driven solutions that drive measurable business impact.
• Solid understanding of credit risk, portfolio management or regulatory environments.
• Experience working with analytics tools and modern data stacks such as SQL, Python or cloud platforms.
• Strong communication and stakeholder engagement skills with executive level audiences.
• Commercial acumen with experience contributing to revenue growth and pipeline development.
• Experience operating within global delivery environments is advantageous.

BENEFITS

The successful Senior Engagement Partner will receive the following benefits:

• Salary between £100,000 – £120,000 – 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

Senior Engagement Manager

£100,000 – £120,000

London or Leeds (2 days a week on-site + client sites as needed)

This is a high impact opportunity to shape and lead complex analytics consulting engagements within a growing advisory capability. You will work closely with senior stakeholders across financial services, helping organisations unlock commercial value through data driven decision making while building a scalable consulting practice.

THE COMPANY

They are a global organisation with a strong presence in data, analytics and risk solutions, supporting clients across a range of industries including financial services, retail and telecommunications. Their consulting arm is expanding rapidly, bringing together deep domain expertise and advanced analytics to solve complex business challenges. The business operates at scale internationally and offers strong investment in both people and capability development. They promote a collaborative and inclusive culture with a focus on long term impact.

THE ROLE

As a Senior Engagement Partner, you will lead end to end analytics consulting engagements, combining client leadership with hands on delivery oversight and commercial ownership.

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

• Act as the primary point of contact for senior client stakeholders, guiding decision making and building trusted partnerships.
• Own delivery from problem definition through to measurable business outcomes.
• Lead multi workstream programmes, coordinating cross functional and global teams.
• Drive business development activities including proposals, pitches and account growth.
• Shape analytics solutions across modelling, experimentation, data extraction and visualization.
• Translate analytical insights into commercial outcomes across areas such as risk, pricing, fraud and customer strategy.
• Develop consulting frameworks, reusable assets and delivery playbooks.
• Support the growth of the consulting practice through hiring, mentoring and capability building.

SKILLS AND EXPERIENCE

The successful Senior Engagement Partner will have the following skills and experience:

• Strong commercial experience within analytics consulting, ideally within banking, fintech or payments.
• Proven ability to lead complex programmes and influence senior stakeholders.
• Experience delivering data driven solutions that drive measurable business impact.
• Solid understanding of credit risk, portfolio management or regulatory environments.
• Experience working with analytics tools and modern data stacks such as SQL, Python or cloud platforms.
• Strong communication and stakeholder engagement skills with executive level audiences.
• Commercial acumen with experience contributing to revenue growth and pipeline development.
• Experience operating within global delivery environments is advantageous.

BENEFITS

The successful Senior Engagement Partner will receive the following benefits:

• Salary between £100,000 – £120,000 – 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

Analytics Engineer

London

Up to £60,000

This is a great opportunity to become the key Analytics Engineer within an early-stage data function, playing a defining role in how the organisation builds its lakehouse, models its core data, and shapes best practice for years to come. If you enjoy ownership, influence, and hands-on technical work across Databricks, data modelling, and pipeline development, this role offers genuine impact and long-term career growth.

The Company

They are investing heavily in their data capabilities and are building out a modern data stack to support smarter decision making across the business. The data team is still in its early stages, giving you the chance to help shape standards, strengthen their Databricks environment, and unlock more value from their growing data estate. Collaboration is central to how they work, with strong relationships across Technology, Finance, Operations and other key teams.

The Role

* Develop and maintain data pipelines across Databricks, Azure Data Factory and API-based integrations.

* Work across transformation layers in Databricks, ensuring clean, well-modelled datasets.

* Build and extend the Power BI data model, enabling reliable reporting and analytics.

* Partner with stakeholders to understand requirements, validate assumptions and shape how data should be modelled.

* Apply strong data modelling practices, including star schemas and Kimball methodologies.

* Support the management of the lakehouse, including incremental loads, snapshotting and data quality.

* Contribute to the relationship with Databricks to help expand adoption of its features.

* Organise and maintain the existing platform, ensuring stability and clarity across data sources.

Your Skills and Experience

* Strong commercial experience with SQL.

* Experience working in MS Azure environment.

* Hands-on experience working with Databricks.

* Expert understanding of data modelling principles and semantic layer concepts.

* Experience working with Azure Data Factory or similar orchestration tools.

* Ability to translate business needs into logical, scalable data models.

* Comfortable working across multiple data sources and handling pipeline design.

* Experience with Power BI, including semantic models or Tabular Editor.

* Curious, collaborative mindset with the ability to push back constructively and guide stakeholders.

To Apply for this Job Click Here

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Qualitative Insight Team Lead

£80,000 – £100,000

Mansfield (3 days a week on-site)

This is a standout opportunity for a Qualitative Insight Team Lead to shape and grow a high-impact research function within a creative and insight-led environment. You will play a central role in elevating qualitative capabilities, working closely with senior stakeholders, and influencing how insight drives creative and strategic decisions across major client accounts.

THE COMPANY

They are a well-established, large-scale brand communications business with an embedded insight capability at the heart of their offering. Bringing together creative, production, and insight teams, they operate a highly collaborative model that supports global clients across a range of industries. The organisation is investing significantly in its insight function, with a clear ambition to strengthen its external positioning and expand its research capabilities. You will join a multidisciplinary insight team working in close partnership with creative and client teams.

THE ROLE

As a Qualitative Insight Team Lead, you will lead and scale the qualitative insight function while delivering high-impact research and shaping strategic direction across key client accounts.

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

• Lead and develop the qualitative research team, with responsibility for hiring and capability growth.
• Own and evolve the qualitative research offering across the business.
• Deliver high-quality qualitative insight, remaining close to research execution and craft.
• Partner with senior stakeholders and account leads on key client engagements.
• Play a leading role across high-profile, global client accounts.
• Introduce and scale new qualitative and hybrid research methodologies.
• Contribute to new business opportunities and support commercial growth.
• Collaborate across insight, creative, and strategy teams in a matrix environment.

SKILLS AND EXPERIENCE

The successful Qualitative Insight Team Lead will have the following skills and experience:

• Strong commercial experience in qualitative research within an agency or consultancy environment.
• Proven ability to lead, mentor, and grow a team or capability.
• Deep expertise across a range of qualitative methodologies such as interviews, focus groups, and behavioural research.
• Experience working with large, complex client accounts and managing senior stakeholder relationships.
• Strong commercial awareness with the ability to link insight to business impact.
• Confidence operating in client-facing leadership roles.

BENEFITS

The successful Qualitative Insight Team Lead will receive the following benefits:

• Salary between £80,000 – £100,000 – 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

Senior BI Data Architect (8 Month FTC)

£97,000 (Pro-rated to 8 months – £66,000)

Fully Remote (UK-Based Only)

This is a high-impact opportunity to shape the future of a modern data platform at scale. You will take ownership of architecture, performance, and governance across a Databricks Lakehouse environment, directly influencing how business decisions are made.

THE COMPANY

They are a global, data-driven organisation operating at the intersection of technology and insights. With a strong emphasis on innovation, they leverage large-scale data to power decision-making across multiple business functions. Their environment promotes collaboration, continuous improvement, and high technical standards. They are investing heavily in modernising their data infrastructure to support future growth.

THE ROLE

As a Senior BI Data Architect, you will lead the evolution of the data platform, working across engineering and BI to deliver a scalable and high-performing architecture.

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

• Design and implement a governed Databricks Lakehouse, including catalog and data structures.
• Migrate complex legacy SQL into clean, modular, and maintainable pipelines.
• Build scalable transformation frameworks using Spark and Python or SQL-based pipelines.
• Optimise query performance across large datasets, improving efficiency and cost control.
• Define and manage data modelling standards, including dimensional modelling approaches.
• Develop CI and CD pipelines to enable reliable deployment and testing of data products.
• Create and maintain a semantic layer for self-service analytics and reporting.
• Partner with stakeholders across multiple business areas to translate data needs into solutions.
• Deliver insights and recommendations to senior stakeholders, balancing technical and business priorities.

SKILLS AND EXPERIENCE

The successful Senior BI Data Architect will have the following skills and experience:

• Strong commercial experience in data architecture or data engineering within modern cloud environments.
• Deep expertise in Databricks, including Delta Lake, Unity Catalog, and SQL Warehousing.
• Advanced SQL skills with a focus on performance tuning and optimization.
• Experience migrating legacy data systems into scalable architectures.
• Proven ability to design and build data pipelines using Spark and Python or SQL.
• Strong understanding of data modelling, including star and snowflake schemas.
• Experience working with BI tools and semantic layers such as Looker or similar platforms.
• Familiarity with version control and CI or CD workflows.
• Ability to communicate complex technical concepts to non-technical stakeholders.

BENEFITS

The successful Senior BI Data Architect will receive the following benefits:

• Salary up to £66,000 (£97,000 pro-rated to 8 months) – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to M

To Apply for this Job Click Here