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Lead AI Engineer

£95,000 – £115,000

King’s Cross, London (1-2 days a week in office)

This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will

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

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, infrastructure, and system design.
• Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
• Provide technical leadership and guidance to engineers working on AI projects.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems from design through deployment.
• Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
• Experience building agentic or multi-step AI systems.
• Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
• Ability to define technical direction and operate effectively in complex or evolving environments.
• Experience influencing engineering standards and best practices across multiple projects.
• Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £95,000 – £115,000 – 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 AI Engineer

£75,000 – £95,000

King’s Cross, London (1-2 days a week in office)

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

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

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

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

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – 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

Data Engineer

£30,000 – £45,000

Liverpool (1-2 days a week in office)

If you enjoy building scalable data solutions and turning complex datasets into trusted business intelligence, this is an excellent opportunity to join a growing data function with strong visibility across the organisation. You will play a key role in shaping data infrastructure, supporting analytics, and driving better decision-making through high-quality data engineering practices

THE COMPANY

They are a well-established organisation delivering services across a large and diverse operational environment. Data is central to their decision-making, and they are continuing to invest in modern cloud-based data platforms and reporting capabilities. You will join a collaborative team that values knowledge sharing, continuous improvement, and innovation. The environment offers the opportunity to work with a range of stakeholders while making a measurable impact through data.

THE ROLE

As a Data Engineer, you will build scalable data pipelines and cloud-based data solutions using Azure Data Factory, Snowflake, SQL, and Power BI, helping drive data-led decision making across the business.

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

• Design, build, test, and maintain data pipelines to move data from multiple sources into a central data warehouse.
• Develop and maintain data models using modern cloud data technologies.
• Transform and structure raw data into curated datasets that support business intelligence and reporting.
• Apply data warehousing best practices to improve data accessibility, quality, and performance.
• Create trusted datasets, measures, and KPIs to support reporting and operational decision-making.
• Collaborate with analysts and business stakeholders to understand data requirements and deliver scalable solutions.
• Support documentation, knowledge sharing, and continuous improvement across the data function.
• Contribute to data governance, data quality, and optimisation initiatives.

SKILLS AND EXPERIENCE

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

• Strong commercial experience with SQL and data modelling.
• Experience designing and managing ETL or ELT processes.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with Azure Data Factory and Snowflake.
• Experience working with Power BI and an understanding of DAX and Power Query.
• Understanding of data quality, governance, and performance optimisation.
• Exposure to collaboration and development tools such as GitHub, Jira, and Confluence.
• Ability to communicate technical concepts clearly to a range of stakeholders.
• Strong problem-solving skills and a proactive, adaptable approach to delivery.

BENEFITS

The successful Data Engineer will receive the following benefits:

• Salary between £30,000 – £45,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Engineer

Current Salary: Remote

Salary: $175,000 – $210,000

Looking for a role where you can influence architecture, lead technical direction, and remain hands-on with complex data engineering challenges?

This is an opportunity to join a growing SaaS business where data is central to both the product and customer experience. You’ll take ownership of critical platform decisions, mentor other engineers, and help shape the future of a customer-facing analytics environment that processes large and complex datasets.

The Company
This fast-growing technology company develops data-driven products that help organisations make smarter, faster decisions through analytics and workflow automation. With a strong customer focus and a collaborative engineering culture, they are investing heavily in the evolution of their data platform and are looking for a senior technical leader to help drive that journey.

The Role
As Lead Data Engineer, you’ll combine deep technical expertise with architectural thinking and technical leadership.
Your responsibilities will include:

• Designing and optimising scalable ELT pipelines and data processing frameworks
• Leading architecture discussions and making recommendations based on technical trade-offs
• Building robust data models that support customer-facing analytics products
• Improving automation, observability, reliability, and data quality across the platform
• Solving complex customer data challenges and driving long-term solutions
• Working closely with Engineering, Product, Analytics, and Customer-facing teams
• Mentoring engineers and helping establish best practices across the function
• Contributing to the long-term data platform roadmap and modernisation strategy

Your Skills & Experience
You’ll bring strong commercial experience with:

• SQL and Python for Data Engineering
• Building and supporting large-scale ELT pipelines
• Data modelling and data architecture
• Airflow, Dagster, Astronomer, or similar orchestration technologies
• Working with complex datasets and varying levels of data quality
• Technical leadership, mentoring, and engineering best practices
• Evaluating architectural approaches and communicating trade-offs effectively

What They Offer

• Salary of $175,000 – $210,000
• Fully remote working model
• The opportunity to influence architecture, engineering standards, and data platform strategy
• Clear progression towards broader technical leadership and future people management opportunities
• Collaborative environment with close interaction across engineering, analytics, and customer-facing teams
• Comprehensive benefits package including healthcare coverage, retirement contributions, generous paid time off, and additional wellbeing benefits

How to Apply

If you’re an experienced Lead Data Engineer who enjoys solving complex data challenges, influencing technical direction, and building scalable customer-facing data solutions, apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Business Intelligence Analyst

Remote

£70,000 – £90,000

Looking for a Business Intelligence Analyst role where your insights directly influence business decisions? This is an opportunity to join a fastgrowing digital business where data sits at the heart of strategy, product development, and commercial growth. You’ll work across multiple business functions, delivering actionable insights and building reporting solutions that drive measurable impact.

The Company

This organisation is an innovative digital business experiencing significant growth and expansion. They have built a strong data-driven culture where analytics plays a central role in shaping decision-making across the organisation. With a collaborative and ambitious environment, they offer the opportunity to work on high-impact projects alongside stakeholders across product, commercial, marketing, and operational teams. As they continue to scale, data and analytics remain a key investment area.

The Role

As a BI Analyst, you will bridge the gap between business challenges and data-driven solutions, helping stakeholders make smarter decisions through analysis, reporting, and strategic insight.

Responsibilities include:

• Translating business questions into structured analytical projects and actionable recommendations
• Building and maintaining high-quality dashboards and reporting solutions
• Creating self-service analytics tools that empower stakeholders to access insights independently
• Partnering with teams across Product, Growth, Commercial, and Operations
• Identifying trends, risks, and opportunities through detailed data analysis
• Communicating findings effectively to both technical and non-technical audiences
• Supporting experimentation, customer insight projects, and broader strategic initiatives
• Contributing to the development of data best practices and analytics capabilities across the business

Your Skills & Experience

• Strong commercial experience in data analytics
• Experience in the gambling or gaming sector.
• Advanced SQL skills and excellent analytical problem-solving capability
• Strong business intelligence experience, ideally with tools such as Omni, Looker, or similar platforms
• Experience building dashboards from stakeholder discovery through to implementation and optimisation
• Ability to turn complex data into clear stories and recommendations
• Experience influencing stakeholders across multiple functions
• Strong communication and relationship-building skills
• Comfortable working in a fast-paced, evolving environment
• Exposure to Python, dbt, or analytics engineering would be beneficial
• Experience within online gaming, betting, entertainment, or consumer digital businesses is advantageous

What They Offer

• Salary between £70,000 and £90,000
• Fully remote working across the UK
• Private healthcare package
• Income protection cover
• Enhanced holiday allowance with tenure-based increases
• Home office setup support
• Additional salary sacrifice and employee discount schemes
• Regular team events and collaborative development opportunities
• The chance to play a key role in shaping analytics within a growing business

How to Apply

If you’re a commercially focused Senior BI Analyst looking for a high-impact remote opportunity, apply today through Harnham to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer

Up to £45,000 + Benefits
Liverpool (Hybrid, 1 day per week in the office)
This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and maintaining data pipelines across a modern Microsoft and cloud-based data platform. You’ll work within a growing Data Engineering team and play a key role in shaping the future of the company’s data infrastructure.

THE COMPANY:

Our client delivers a wide range of services designed to transform people’s lives and strengthen communities. As the organisation continues investing in its data capabilities, they are expanding their Data Engineering team.

THE ROLE:

You will take ownership of developing and maintaining scalable data solutions across a modern Azure, Snowflake, and Fabric ecosystem. Key responsibilities include:

• Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake.
• Developing and supporting data warehousing solutions and dimensional data models.
• Creating and optimising datasets to support reporting, analytics, and business insights.
• Supporting the ongoing migration and development of solutions within Microsoft Fabric.
• Collaborating with analysts and stakeholders to deliver high-quality, trusted data assets and documentation.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data engineering experience, ideally 1-2 years in a dedicated engineering role.
• Building and maintaining ETL / ELT pipelines.
• Data warehousing concepts and dimensional modelling.
• Strong SQL skills and experience working within cloud-based data environments.

THE BENEFITS:

You will receive a salary of up to £45,000 depending on experience, along with an excellent benefits package.

HOW TO APPLY:

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Junior Data Engineer
up to £55,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.

THE COMPANY

Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.

THE ROLE

You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:

• Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
• Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
• Building and maintaining data models using dbt to support analytics and reporting requirements.
• Supporting the development of AI-driven data products and semantic layers.
• Creating trusted datasets and business-facing data assets to support company-wide decision making.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python development.
• Advanced SQL.
• Building and maintaining data pipelines.
• Data modelling and warehousing fundamentals.
• dbt or similar modern transformation frameworks
• Experience with AWS data services.
• Exposure to Kafka, Spark, streaming data, or modern BI tools.
• Interest in AI, analytics engineering, and data products

THE BENEFITS

You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to join a data consultancy working across marketing, media, and customer data. You’ll work directly with clients, deliver analytics projects, and help turn data into clear business recommendations. This role requires hands on SQL as well as marketing analytics experience.

The Company
They are a data and analytics consultancy supporting organisations with measurement, reporting, and insight. Their work spans marketing analytics, digital measurement, data strategy, and reporting. The team works closely with clients to solve business challenges using data.

The Role
In this role they are looking for agency/consultancy background, SQL and experience working acorss customer and marketing analytics.

You will:
* Lead analytics projects and act as the main point of contact for clients
* Build dashboards and reports using Power BI, Tableau, or Looker Studio
* Analyse campaign performance across digital marketing channels
* Design and implement measurement frameworks and attribution approaches
* Manage GA4 and Google Tag Manager implementations
* Write SQL queries to extract and analyse data
* Use Python or R to automate reporting and analysis processes
* Support data quality, tracking, and governance initiatives
* Present insights and recommendations to stakeholders

Your Skills & Experience
* Strong commercial experience in data analytics or digital analytics
* Advanced SQL skills
* Experience using Python or R for analysis and automation
* Hands-on experience with GA4 and Google Tag Manager
* Knowledge of paid media reporting across platforms such as Google Ads, Meta, and TikTok
* Experience building dashboards and visualisations
* Ability to communicate technical findings to non-technical stakeholders

Desirable experience but not essential:
* Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA)
* BigQuery, Snowflake, or other cloud data platforms
* Customer Data Platforms (CDPs)
* Data privacy and consent management frameworks

Apply today with your CV to find out more about this Data Consultant opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer
London (1 day per month in office)
Up to £60,000 + Benefits

This is an excellent opportunity for a Data Engineer to join a growing Business Intelligence function and play a key role in shaping analytics and reporting capability across the business. You’ll work with modern data technologies, build scalable solutions, and help drive data-led decision making across the organisation.
The Company
They are a growing organisation investing heavily in their data and analytics capabilities to support business performance and strategic decision making. Their Business Intelligence team is focused on delivering high-quality, scalable data solutions that empower stakeholders with reliable insights. This is a collaborative environment where data plays a central role in driving business success.
The Role
You will:

• Build and maintain reliable data pipelines that integrate, clean, and structure data from multiple sources.
• Design and optimise data models to support reporting and analytics requirements.
• Create scalable data assets that enable business teams to generate actionable insights.
• Implement data quality controls, validation processes, and error handling to ensure data integrity.
• Work closely with stakeholders to understand requirements and deliver impactful data solutions.
• Contribute to the continued development of reporting and analytics capabilities across the business.

Your Skills & Experience

• Strong commercial experience in data engineering and data integration.
• Hands-on experience with DBT.
• Advanced SQL skills for data transformation and automation.
• Experience working with Snowflake and cloud-based data platforms.
• Strong understanding of data modelling and data warehousing concepts.
• Experience building dashboards and reports using Power BI.
• Knowledge of data quality assurance, validation processes, and troubleshooting.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Salary up to £60,000.
• Comprehensive benefits package.
• Hybrid working with just one day per month in the London office.
• Opportunity to work with modern data technologies in a growing data function.
• Clear opportunities for career progression and professional development.
• The chance to shape data solutions that deliver measurable business impact.

To Apply for this Job Click Here