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Senior Backend Engineer

New York City (Hybrid, 3 days per week in office) | $155,000 – $225,000 + Equity + Benefits

This is an opportunity to join a high-growth technology business that is redefining a traditional industry through a modern software platform. You’ll have significant ownership, work closely with Product and Design teams, and help build scalable systems that support a rapidly expanding customer base.

The Company
They are a venture-backed technology company with more than 200 employees and recent Series D funding. Their platform enables independent businesses to launch, manage, and grow their operations through a combination of software, marketplace access, and operational support.
The business has experienced strong growth and is continuing to invest heavily in its product and engineering teams. They offer a collaborative environment where engineers are encouraged to influence product direction and drive technical decisions.

The Role

• Build, scale, and maintain backend services using Python
• Design and develop APIs that power key platform functionality
• Work closely with Product and Design teams to deliver customer-focused solutions
• Contribute to architecture decisions that improve performance, scalability, and reliability
• Develop systems across onboarding, customer management, communications, integrations, and operational tooling
• Take ownership of features and projects from design through deployment
• Promote engineering best practices and high-quality code standards
• Support the growth of a modern cloud-based platform serving a growing user base

Your Skills & Experience

• Strong commercial experience with Python backend development
• Experience working with Django, Flask, or similar frameworks
• Expertise designing and building REST APIs
• Strong knowledge of distributed systems and web application architecture
• Experience working with relational databases and ORM technologies
• Exposure to AWS and cloud-native environments
• Experience building customer-facing products within SaaS, marketplace, consumer technology, or other product-led businesses
• Ability to work autonomously while collaborating effectively across teams
• Product-minded approach with a strong sense of ownership

What They Offer

• $155,000 – $225,000 base salary
• Equity package
• Comprehensive benefits package
• Hybrid working model with 3 days per week in the New York City office
• High levels of ownership and autonomy
• Opportunity to solve complex technical challenges at scale
• Clear progression opportunities within a growing engineering organisation
• Collaborative and supportive engineering culture

How to Apply
If you are a Senior Backend Engineer with strong Python experience and a passion for building scalable products, apply today to learn more about this opportunity.

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Customer Analytics Manager 12 Month FTC
London (Hybrid) | Up to £70,000
Looking for a role where you can shape customer strategy and influence senior decision-making? This Customer Analytics Manager position offers the opportunity to own the customer analytics agenda for a well-established retail business, delivering insight that drives customer growth, retention and commercial performance.
The Company
This organisation is a leading consumer business with a large and highly engaged customer base across both digital and physical channels. Data and analytics sit at the heart of business decision-making, with established teams covering customer analytics, data science, AI and marketing analytics. They are now looking for a Customer Analytics Manager to join on a 12-month fixed-term contract and lead key customer insight initiatives.
The Role
You will be responsible for delivering strategic customer analytics and helping stakeholders make more informed customer-focused decisions.
Key responsibilities include:

• Owning customer analytics across retention, loyalty, profitability and customer lifetime value
• Delivering customer reporting, insight and deep-dive analysis to identify opportunities and risks
• Leading customer segmentation and profiling projects to better understand customer behaviour
• Applying advanced analytical techniques including clustering, predictive modelling, regression analysis and campaign measurement
• Translating complex analysis into clear, actionable recommendations for senior stakeholders
• Building strong relationships across the business and acting as a trusted analytics partner
• Developing compelling insight-led narratives that support commercial and customer objectives

Your Skills & Experience

• Strong commercial experience in customer analytics, customer insight or CRM analytics
• Advanced SQL skills
• Strong data visualisation experience
• Experience delivering segmentation, clustering, predictive modelling and campaign measurement
• Understanding of techniques such as k-means clustering, random forest and regression analysis
• Excellent stakeholder engagement and communication skills
• Ability to translate analytical findings into business recommendations
• Previous people management or mentoring experience would be beneficial

What They Offer

• Salary up to £70,000
• Competitive benefits package
• Hybrid working model based in London
• Opportunity to lead a high-impact customer analytics function
• Exposure to senior stakeholders across a data-driven organisation
• Valuable experience within a large-scale customer analytics environment

How to Apply
To apply for this Customer Analytics Manager role, please submit your CV for consideration.

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Forward Deployed Engineer

New York, NY (Hybrid preferred) Or Remote (EST/CT timezone)

$200,000 to $250,000 base + Equity

This is a unique opportunity to join a high-growth AI software business transforming how enterprises leverage AI for content operations, analytics, and workflow automation. You’ll be at the forefront of client delivery, working directly with senior stakeholders to design, build, and deploy AI-powered solutions that create measurable business impact.

The Company

They are an innovative AI platform helping organisations scale growth through intelligent automation, AI-powered workflows, and data-driven decision making. Their technology enables clients to operationalise AI across complex business processes and integrate seamlessly into existing technology environments.

As they continue to expand their enterprise footprint, they are investing heavily in technical client delivery and implementation excellence. This role offers the opportunity to work on strategic, high-impact engagements while helping shape a repeatable delivery model for future enterprise customers.

The Role

As a Forward Deployed Engineer, you will lead client-facing AI implementations from discovery through production deployment, acting as the bridge between business objectives and technical execution.

Responsibilities include:

• Leading end-to-end delivery of enterprise AI implementations from solution design through launch and handover
• Working directly with client business, analytics, data, technology, and operational stakeholders to define requirements and success metrics
• Building and deploying production-ready solutions, integrations, automations, and workflows
• Designing and implementing integrations across APIs, data sources, enterprise systems, and workflow tools
• Running experiments and evaluating how AI solutions can be embedded within client technology environments
• Translating complex technical findings into clear business recommendations for executive and C-suite stakeholders
• Managing implementation risks, delivery timelines, and dependencies across multiple teams
• Driving user adoption, documentation, operational readiness, and long-term success
• Partnering closely with Product Managers to influence future product capabilities and roadmap decisions
• Operating effectively in fast-moving environments where priorities and requirements evolve

Your Skills & Experience

• Strong commercial experience within consulting, solution delivery, implementation, analytics, data engineering, data science, or technical programme leadership
• Proven experience delivering complex software, AI, analytics, automation, or digital transformation projects from concept to production
• Strong client-facing communication skills with the ability to engage technical and non-technical stakeholders
• Experience translating ambiguous business problems into practical technical solutions
• Hands-on technical capability across data, analytics, integrations, APIs, or modern software environments
• Ability to communicate technical concepts, trade-offs, and recommendations to senior stakeholders
• Demonstrated ownership, initiative, and a track record of driving outcomes independently
• Comfortable making decisions with incomplete information and maintaining delivery momentum

Preferred backgrounds include:

• Management or technology consulting
• AI, analytics, software implementation, or digital transformation environments
• MarTech, AdTech, SaaS, or data-intensive technology businesses
• Forward Deployed Engineering, Solutions Architecture, Technical Consulting, Technical Programme Management, or Implementation Consulting

What They Offer

• Opportunity to work directly with enterprise clients and executive stakeholders
• High level of ownership and influence within a rapidly growing AI business
• Exposure to cutting-edge AI technologies and real-world enterprise deployments
• Clear progression opportunities as the company continues to scale
• Hybrid working in New York preferred, with remote options available across EST and CST time zones
• Support for eligible visa transfer candidates

How to Apply

If you’re excited by the opportunity to solve complex client challenges, deploy AI solutions in production environments, and drive measurable business outcomes, we’d love to hear from you. Apply today to learn more.

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Technical Delivery Lead

New York City (Hybrid preferred, EST/CST Remote Considered)

$200,000 – $250,000 Base + Equity

This is a unique opportunity to join a high-growth AI software company at a pivotal stage of its expansion. As a Technical Delivery Lead, you will work at the intersection of AI, data, consulting, and client delivery, owning the implementation of cutting-edge solutions from discovery through production rollout.

The Company

They are an AI-powered software business helping organisations scale content operations, analytics, and growth initiatives through intelligent automation and AI-driven workflows. Operating within the AI and MarTech space, they partner with enterprise clients to solve complex challenges and embed AI into real-world business processes. Their environment is fast-paced, collaborative, and highly execution-focused, offering significant exposure to senior stakeholders and emerging AI technologies.

The Role

You will take ownership of end-to-end client delivery, ensuring AI solutions are successfully designed, implemented, and adopted within enterprise environments.

Responsibilities include:

• Leading technical delivery from discovery and solution design through implementation, launch, and handoff.
• Translating business requirements into technical solutions, delivery milestones, and measurable outcomes.
• Working closely with client business, analytics, technology, security, and operational teams.
• Designing and implementing integrations across APIs, data sources, workflows, and enterprise systems.
• Building prototypes, automations, evaluation frameworks, and production-ready solutions.
• Managing project dependencies, removing blockers, and maintaining momentum in ambiguous environments.
• Communicating technical decisions, risks, and recommendations to both technical teams and executive stakeholders.
• Partnering with Product Managers to influence product direction and identify scalable, reusable capabilities.
• Supporting user adoption, documentation, operational handover, and long-term delivery success.

Your Skills & Experience

You will bring a blend of technical expertise, consulting capability, and stakeholder management experience, including:

• Strong experience leading complex software, AI, analytics, data, or digital transformation initiatives.
• Background within technology consulting, implementation consulting, solutions architecture, forward deployed engineering, data science, or technical programme delivery.
• Hands-on experience working with data integration, APIs, data modelling, analytics, or AI technologies.
• Ability to operate effectively in ambiguous environments with evolving requirements and competing priorities.
• Strong problem-solving skills and a highly execution-focused mindset.
• Experience translating technical findings into business recommendations for senior stakeholders.
• Comfortable partnering with Product Managers and acting as a technical subject matter expert.
• Strong communication skills with experience presenting to executive and C-suite audiences.
• Familiarity with technologies such as Python, SQL, cloud platforms, APIs, data pipelines, or AI applications is advantageous.
• Experience within healthcare, life sciences, financial services, or other regulated industries is beneficial but not essential.

What They Offer

• Exposure to cutting-edge AI implementations and enterprise transformation projects.
• Direct collaboration with senior leadership and executive stakeholders.
• Opportunity to shape delivery methodologies and influence future client engagements.
• Flexible working arrangements, with hybrid working preferred and remote options available across EST and CST time zones.
• Clear scope for career progression within a rapidly growing AI business.

How to Apply

If you are excited by the opportunity to lead enterprise AI implementations, work directly with senior stakeholders, and drive tangible business outcomes, apply today to learn more about this Technical Delivery Lead opportunity!

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Customer Analytics Manager

£60,000-£70,000

London (Hybrid – 3x Days a Week in Office)

12-Month FTC

The Company

A leading British fashion retailer with a strong high-street and online presence, serving millions of customers across the UK is seeking a Customer Analytics Manager to join on an initial 12-month contract! The business has made significant progress in how it uses customer data, moving towards a much more customer-led approach to decision-making across the organisation. This is an opportunity to join a growing analytics function at an exciting point in its development, helping the wider business better understand its customers and use data to drive commercial decisions.

The Role

As the Customer Analytics Manager, you will sit within the wider Customer Analytics function, working across customer behaviour, lifecycle, segmentation, retention, loyalty and profitability. This is a hands-on analytical role where you’ll own the customer analytics agenda, delivering insight that helps the business understand what its customers are doing, why they’re doing it and what this means commercially. You’ll lead customer reporting and deep-dive analysis, turning complex datasets into clear stories and actionable recommendations for senior stakeholders.

You’ll also work across areas including:

• Customer lifecycle and health
• Customer segmentation and profiling
• Retention and loyalty
• Customer profitability and lifetime value
• Customer behaviour and trends
• Campaign and promotional effectiveness
• Advanced analytics and modelling
• Customer reporting and KPI development

You’ll be expected to go beyond simply producing analysis, building compelling customer narratives and helping stakeholders understand how customer behaviour connects to sales, retention and wider commercial performance. The role also has a small leadership element, with responsibility for managing 1-2 analysts. Previous formal line management experience isn’t essential, however experience mentoring or developing more junior analysts would be valuable.

Your Skills & Experience

• Strong experience in customer analytics, customer insight or a closely related analytical discipline
• Excellent SQL skills
• Strong data visualisation and storytelling capabilities
• Experience working with customer behaviour, segmentation, retention, loyalty, CLV or profitability
• Comfortable applying advanced analytical techniques such as clustering, regression and predictive modelling
• Experience with techniques such as k-means, random forest or linear regression would be beneficial
• Strong commercial and stakeholder management skills, with the ability to explain complex analysis clearly to non-technical audiences
• Experience working in retail would be advantageous, but isn’t essential
• Previous line management experience is beneficial, but we are also open to Lead Analysts or Senior Analysts who have mentored or developed others

The Benefits

• £60,000-£70,000

How to Apply

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

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Head of Data Engineering
Remote (Netherlands) | £150,000 + Benefits

This is a unique opportunity to take ownership of a growing data platform within a globally distributed organisation operating at the intersection of healthcare, life sciences, and commercial consulting. You will help shape the long-term data strategy, establish engineering best practices, and build a scalable platform that delivers measurable business impact across the organisation.

The Company

They are a global services organisation supporting pharmaceutical and healthcare clients with data, analytics, and commercial operations solutions. With teams located across North America, Europe, and Asia, they operate within a highly collaborative and fully remote environment.
The business is investing significantly in its data capabilities and has already begun building a modern cloud-based data platform. They are now looking for an experienced data leader to take ownership of the platform, drive technical excellence, and help scale both the technology and the team.

The Role

You will lead the evolution of a modern data platform while partnering closely with engineering, business stakeholders, and leadership teams across multiple regions.

Key responsibilities include:

• Own and develop the organisation’s centralised data platform and analytics capabilities
• Define the long-term data engineering roadmap aligned to business objectives
• Drive architectural decisions in partnership with senior engineering leadership
• Establish engineering best practices across delivery, quality, governance, and scalability
• Introduce and embed Agile, Scrum, DevOps, and modern software development ways of working
• Lead and mentor a team of Data Engineers based in India, while supporting future team growth
• Work closely with stakeholders across the US, Europe, and Asia to prioritise delivery and maximise business value
• Improve data accessibility, reduce duplication, and create a scalable foundation for analytics and reporting
• Support the processing and management of high-volume datasets at enterprise scale
• Promote the effective use of AI-enabled development tools and engineering productivity improvements
• Act as the senior data engineering voice within the business, influencing both technology and operating models

Your Skills & Experience

Strong leadership experience within Data Engineering, Data Platform, or Analytics Engineering environments

• Proven ownership of cloud-based data platforms from strategy through to delivery
• Strong commercial experience with Snowflake and dbt
• Experience working with Python and SQL within modern data ecosystems
• Exposure to cloud technologies including AWS and Azure
• Knowledge of orchestration and pipeline tools such as Airflow
• Ability to balance strategic leadership with technical decision making
• Experience mentoring and developing high-performing engineering teams
• Strong stakeholder management skills across business and technical audiences
• Comfortable working within distributed teams and multiple time zones
• Experience operating within both fast-paced, lean organisations and larger enterprise environments
• Passion for building data cultures, improving engineering standards, and delivering business impact through data

What They Offer

Competitive base salary
Fully remote working from Netherlands
Opportunity to own and shape a business-critical data platform
Exposure to executive stakeholders and strategic technology decisions
Chance to build and scale a high-performing data engineering function
Collaborative international environment with significant growth plans
Strong focus on innovation, AI adoption, and modern engineering practices

How to Apply

If you are looking for an opportunity to combine data platform ownership, people leadership, architecture, and business impact in a growing international organisation, please apply with your latest CV.

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Senior Data Consultant

Up to £70,000 + bonus

London/Hybrid

The Overview

This is an opportunity to join a growing data and technology consultancy delivering complex transformation programmes across data, analytics, engineering and software development. You’ll work on high-impact projects, remain hands-on with modern technologies, and play a key role in shaping technical standards and mentoring others within the team.

The Company

They are a fast-growing consultancy focused on helping organisations modernise their data platforms, improve decision-making capabilities, and deliver large-scale transformation initiatives. Working across a diverse portfolio of clients, they support data infrastructure, analytics, software development, and cloud transformation projects.

Their environment is collaborative, entrepreneurial, and delivery-focused, offering exposure to a wide variety of technical challenges. With strong growth plans and an experienced leadership team, they provide an excellent opportunity for consultants who enjoy combining hands-on engineering with client engagement.

The Role

As a Senior Data Consultant, you will take ownership of technical delivery across client projects while remaining close to the build. You’ll help design scalable solutions, guide best practices, and work directly with senior stakeholders to solve complex business problems.

Responsibilities include:

• Designing and developing scalable data pipelines and modern data platforms
• Leading technical delivery across multiple client engagements
• Building robust data models and data warehouse solutions
• Collaborating with stakeholders to translate business requirements into technical solutions
• Reviewing code and driving engineering best practices
• Supporting cloud infrastructure, data integration, and migration projects
• Presenting technical recommendations to senior business stakeholders
• Mentoring and supporting the development of other consultants and engineers
• Contributing to architecture, platform, and tooling decisions
• Supporting enterprise-scale transformation and modernisation programmes

Your Skills & Experience

• Strong commercial experience with SQL and data engineering principles
• Proven expertise delivering solutions using dbt
• Experience building and maintaining production-grade data pipelines
• Strong understanding of data modelling and data warehousing concepts
• Experience working with cloud platforms such as Azure, AWS, Databricks, or BigQuery
• Ability to own technical projects from design through to delivery
• Strong stakeholder management and communication skills
• Experience presenting technical concepts to non-technical audiences
• Familiarity with BI and analytics platforms such as Looker
• Experience working with APIs, integrations, version control, and modern engineering practices
• Degree in a STEM-related discipline from a leading university

What They Offer

• Salary of £60,000 – £70,000 plus bonus
• Flexibility to consider exceptional candidates up to £75,000
• Hybrid working model with four days per week in the London office
• Exposure to large-scale data transformation and migration programmes
• Opportunity to work with modern technologies including SQL, Python, dbt, Databricks, BigQuery, Azure, AWS and Looker
• Clear progression opportunities within a growing consultancy
• The chance to influence technical standards, architecture decisions, and team development
• Varied project work across data engineering, analytics, cloud, and software development

How to Apply

If you’re a Senior Data Consultant looking for a role that combines hands-on technical delivery, client engagement, and leadership opportunities, apply today to learn more.

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Principal Engineer, Enterprise Data Integration
Life Sciences | Informatica IDMC | Enterprise Data Architecture

About the Role

This is a rare opportunity to come in as the first internal hire on a data team being built from the ground up at an established life sciences company. This is not a role for someone who executes within a defined system – it is a role for someone who defines the system.

As Enterprise Data Integration Leader, you will own the architecture, strategy, and delivery of enterprise-scale data integration across business units. You will be the thought leader who sets the integration lifecycle, establishes security and governance best practices, manages external vendors and development teams, and translates complex technical decisions into clear direction for business and executive stakeholders.

If you have deep Informatica IDMC expertise, have operated at true enterprise scale in pharma or life sciences, and have the leadership presence to influence without authority – this was built for you.

What You Will Own

Architecture & Technical Leadership

• Define and own the enterprise data integration architecture across all business units
• Establish the integration lifecycle – from design standards and development practices through deployment, monitoring, and retirement
• Set security best practices for data integration, including access controls, data masking, and compliance alignment in regulated life sciences environments
• Evaluate and recommend tooling, platforms, and integration patterns with a long-term perspective
• Serve as the internal subject matter expert and technical authority on Informatica IDMC and the broader integration ecosystem

Integration Delivery

• Design and oversee the build of enterprise-grade data pipelines, ETL/ELT workflows, and data transformation frameworks
• Ensure data integration solutions meet performance, reliability, and scalability requirements at enterprise scale
• Work across business units to align integration approaches, reduce duplication, and build reusable assets
• Drive adoption of modern data integration patterns and tooling across the organization

What We’re Looking For

Required

• Informatica IDMC – deep, hands-on expertise; this is non-negotiable
• Life sciences or pharma background – experience operating in regulated, compliance-sensitive data environments
• Enterprise-scale data integration experience – you have designed and delivered integration solutions at true enterprise scale, not departmental projects
• Vendor management experience – managing external development partners, holding vendors accountable, resolving issues
• End-to-end integration thought leadership – you don’t just build pipelines; you define how integration should be done across an organization
• Cross-functional collaboration skills – you have worked across business units and earned the trust of both technical and non-technical stakeholders
• Player-coach mentality – equally comfortable setting architectural direction and rolling up your sleeves to solve a hard problem
• Strong communication skills – you can present integration strategy to an executive audience and explain a technical tradeoff to a business analyst

Technical Stack

• Informatica IDMC – primary and required platform
• Snowflake (or equivalent cloud data platform – Databricks, BigQuery, Redshift)
• MuleSoft or Fivetran – experience with complementary integration platforms a strong plus
• dbt – for data transformation and modeling within the integration stack
• BI tools (Tableau, Power BI, Looker) – helpful but not required

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Overview

A growing healthcare technology organisation is seeking an experienced Healthcare Data Research Analyst to bridge the gap between healthcare domain expertise, data analysis, research, and product development.
This position focuses on investigating complex healthcare questions, interpreting policy and regulatory requirements, evaluating healthcare datasets, and creating clear, defensible data definitions that can be leveraged by product, engineering, analytics, and AI teams. The ideal candidate thrives in ambiguity, enjoys solving difficult research problems, and can translate healthcare concepts into structured analytical logic.
The role has a strong emphasis on public healthcare programs, healthcare claims data, program integrity initiatives, and service delivery analysis.

Key Responsibilities

• Research healthcare regulations, policy guidance, program documentation, clinical concepts, and external data sources to answer business and product questions.
• Translate healthcare policies and operational requirements into structured data definitions, rules, and analytical frameworks.
• Evaluate claims, encounter, eligibility, enrollment, and related healthcare datasets to identify meaningful cohorts, utilisation patterns, services, and outcomes.
• Validate research findings and business definitions through data analysis and testing.
• Assess potential external data sources that could enhance analytical capabilities or product functionality.
• Develop and test SQL-based logic to explore datasets and validate assumptions.
• Produce detailed documentation explaining methodologies, definitions, assumptions, and validation results.
• Present and defend analytical approaches and findings to cross-functional stakeholders.
• Support research, experimentation, and early-stage product development initiatives.
• Help transform ambiguous business questions into clear technical and analytical requirements.
• Collaborate with product, engineering, data science, AI/ML, analytics, and customer-facing teams.
• Serve as a subject matter expert on the relationship between healthcare policy, operational processes, and healthcare data.

Required Qualifications

• 5+ years of experience in healthcare analytics, healthcare research, healthcare informatics, clinical analytics, or a related field.
• Deep knowledge of public healthcare program data, including claims, encounters, eligibility, enrollment, and healthcare coding systems.
• Strong understanding of healthcare delivery models, services, and reimbursement concepts.
• Experience interpreting healthcare regulations, program guidance, policy documents, or clinical documentation.
• Demonstrated ability to convert policy requirements and healthcare concepts into analytical logic and data definitions.
• Advanced SQL skills and experience working with large structured datasets.
• Strong Excel proficiency.
• Excellent written and verbal communication skills.
• Proven ability to document, explain, and defend analytical decisions.
• Experience working independently with ambiguous or loosely defined business challenges.
• Strong investigative mindset and problem-solving capabilities.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Must be legally authorised to work in the United States without sponsorship.

Preferred Qualifications

• Experience with home and community-based healthcare services or related care delivery models.
• Experience supporting program integrity, compliance monitoring, fraud detection, waste reduction, or abuse prevention initiatives.
• Familiarity with state or public healthcare systems.
• Background researching healthcare policy and regulatory requirements.
• Experience addressing healthcare data quality and governance challenges.
• Knowledge of business intelligence tools such as Tableau, Power BI, or Looker.
• Exposure to AI, machine learning, or large language model technologies.
• Experience with research, prototyping, experimentation, or innovation-focused projects.

Technology Requirements

Required

• SQL
• Excel
• Healthcare claims and operational data
• Knowledge of Medicare, Medicaid, or similar public healthcare programs

Preferred

• Tableau, Power BI, or Looker
• AI/LLM tools
• Additional healthcare analytics and research technologies

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Senior/Lead Data Consultant

Up to £70k base + bonus + benefits

London – Permanent Role – 4x a week in the office

The Role

We are working with a growing data consultancy looking for a Senior/Lead Data Consultant to join its Data Infrastructure practice.

You’ll combine hands-on technical delivery, client engagement and mentoring, working across data engineering, modelling, BI, analytics and integrations. You’ll also have the opportunity to take technical ownership of client engagements and help shape solutions from end to end.

Requirements

• Strong background as a Senior Data Engineer, Analytics Engineer or Data Consultant.
• Strong SQL, data modelling and dbt experience.
• Experience building and supporting production data pipelines and BI solutions.
• Knowledge of Python, APIs, Git and cloud infrastructure, ideally AWS.
• Comfortable working across different technologies and client environments.
• Strong communication skills with the ability to engage senior client stakeholders.
• 2:1 or above in a STEM-related degree.

What Will Make You Stand Out

• Previous technical or delivery leadership experience.
• Consultancy or strong client-facing experience.
• Experience across modern data stacks such as Fivetran, Databricks, dbt and Looker.
• A track record of mentoring and developing engineers.
• Someone who enjoys solving complex problems, working independently and adapting to new technologies.

If you are interested in the role please apply, to follow up please message me on LinkedIn or email.

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AI Engineer (Contract)

Amsterdam / Hybrid | Competitive Day Rate | Contract

A digital-first organisation is looking for an AI Engineer Contractor to help deliver Generative AI solutions across its analytics and reporting landscape.

The Role

Build and deploy GenAI applications
Develop AI-powered analytics and reporting solutions
Deliver production-ready tools that drive business value
Work closely with Data & AI stakeholders

Your Skills & Experience

Hands-on experience with Generative AI and LLMs
Experience deploying AI solutions into production
Strong Python and modern AI tooling experience
Background delivering analytics-focused use cases

What They Offer

Competitive contract rate
High-impact AI projects
Opportunity for contract extension

To Apply for this Job Click Here