To Apply for this Job Click Here

Lead GCP Data Engineer
New Malden (Hybrid, approx. 4 days per month onsite)
£85,000 to £90,000 plus up to 30 percent bonus

This is an opportunity to take ownership of a brand‑new GCP data platform and shape the engineering standards from the ground up. You will join a growing data function at a pivotal moment, playing a key role in a major cloud migration while influencing best practice across the team.

The Company
They are a technology‑driven organisation within the insurance space, focused on making data‑led decisions and building modern, scalable systems. Their mission is centred around delivering fast, accurate and accessible insurance experiences for a wide range of customers. With strong investment and a clear roadmap, they continue to enhance their predictive capabilities and data platform maturity. The environment is collaborative, outcome‑focused and built for people who enjoy autonomy and ownership.

The Role
As Lead GCP Data Engineer, you will
* Act as the in‑house GCP expert, guiding design decisions and engineering standards.
* Lead end‑to‑end delivery of data products, from ingestion through to transformation and analytical layers.
* Build and maintain production‑grade pipelines across batch and streaming workloads.
* Work closely with internal stakeholders to deliver reliable, high‑quality datasets.
* Support the Azure‑to‑GCP migration, ensuring data sources are correctly transformed and integrated.
* Mentor engineers and help uplift best practice across the team.
* Operate within Agile ways of working, contributing to planning, ceremonies and continuous improvement.

Your Skills and Experience
You will need:
* Strong commercial experience as a Data Engineer working on production‑grade pipelines.
* Deep hands‑on experience with GCP, including BigQuery, Cloud Storage, Cloud Run, Dataflow, Cloud Composer, and streaming technologies such as Kafka.
* Strong capability in dbt or Dataform and familiarity with medallion architecture.
* Ability to design robust ingestion patterns across multiple data types.
* Experience with Terraform or similar IaC approaches.
* Clear communication skills and a value‑focused engineering mindset.
* Experience operating within Agile teams.

Nice to have:
* GCP certifications.
* Experience working in regulated environments.

What They Offer
* £80,000 to £90,000 base salary.
* Up to 30 percent annual bonus.
* Hybrid working with only four days per month onsite.
* Strong pipeline of projects including a cloud migration and new platform build.
* Clear progression opportunities as the team scales.
* A positive, supportive culture with an emphasis on trust and autonomy.

How to Apply
If this sounds like the right next step, apply now to register your interest.

To Apply for this Job Click Here

To Apply for this Job Click Here

Chief Data Scientist – TS/SCI Clearance

Washington, DC – 4 days/week onsite

$325,000 – $375,000 + Bonus + Benefits

Harnham is partnered with a cutting-edge government contractor in the DC area. They are looking for an AI leader with a strong background in building production-grade LLM / natural language platforms in federal spaces. This person will lead a growing part of the AI research team and partner with government agencies on projects across defense, cybersecurity, robotics and human language technology.

THE ROLE

As the Chief Data Scientist, you will be required to:

• Show technical leadership of machine learning and NLP models for production
• Work closely across different ML and engineering teams on both model development and production
• Own new projects supporting various business functions and product development
• Partner directly with the C-suite on data science direction
• Expand upon existing AI platforms
• Provide deep knowledge and leadership in data science

YOUR SKILLS AND EXPERIENCE

The successful Chief Data Scientist will likely have the following skills and experience:

• Top Secret Clearance required (TS/SCI Poly preferred)
• PhD in Computer Science or similar STEM field required
• History of owning development of scalable ML models in federal spaces
• Team management experience required
• Strong Python coding – ability to step in to support the team as needed
• High level of comfort partnering with executive teams; history of pitching new concepts / getting buy-in
• Experience with NLP preferred
• Defense or cybersecurity experience preferred
• Comfortable with LLMs, Generative AI and AI Agents
• Proven communicator with technical team, clients and senior stakeholders

THE BENEFITS

A competitive base salary of $325,000 – $375,000 + bonus + benefits

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Team Leadership | Model Development | Machine Learning | Natural Language Processing | Production | Stakeholder Management | Innovation | Technology | Government | Federal Agencies | DoD | DoW | Department of War | Department of Defense | AI | Artificial Intelligence | LLM | Large Language Models | Agentic AI | AI Agents | Top Secret | Clearance | Cleared | Cybersecurity | Applied Research

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist – Leicester x2 days a week

We are working with a leading ecommerce company who are looking to add a Lead Data Scientist to their team. This role will involve the line management of 2 junior data scientists and will be interacting with stakeholders often.

The role will sit within a Marketing Science department and you will work on customer and marketing data including customer churn, segmentation, campaign analysis and marketing effectiveness across ads.

Required:

• Strong leadership and communication skills
• Ability to work in a fast paced environment
• Strong Python & SQL skills
• 4+ years in a Data Science position

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Engineer

£90,000 – £110,000

Remote (UK Only)

This is a standout opportunity to take technical ownership of a modern data engineering function. You will shape data architecture, build high‑impact ETL pipelines, and play a key role in developing both the platform and the team as they enter their next phase of growth.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience. The environment is modern, engineering‑driven, and designed for people who enjoy solving complex technical problems in a fast‑moving setting.

THE ROLE

As a Lead Data Engineer, you will take charge of a Data Engineering team focused on data ingestion and modelling.

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

• Leading the design, build and optimisation of ETL pipelines and ingestion frameworks.
• Owning core data engineering solutions across modelling, transformation and orchestration.
• Acting as a technical lead while providing light people leadership to a growing team.
• Collaborating closely with stakeholders to shape data architecture and best practice.
• Driving high coding standards and contribute to long‑term platform scalability.

SKILLS AND EXPERIENCE

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

• Strong commercial experience working as a Data Engineer in AWS.
• Solid programming skills in Python and strong SQL capability.
• Exposure to orchestration tools such as Airflow or Dagster.
• Experience with modern data warehouses such as Snowflake, Redshift or BigQuery.
• Infrastructure‑as‑code experience, ideally Terraform or Pulumi.

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary between £90,000 – £110,000 – depending on experience.
• Fully remote work.

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

£90,000 – £110,000

Remote (UK Only)

This is a standout opportunity to take technical ownership of a modern data engineering function. You will shape data architecture, build high‑impact ETL pipelines, and play a key role in developing both the platform and the team as they enter their next phase of growth.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience. The environment is modern, engineering‑driven, and designed for people who enjoy solving complex technical problems in a fast‑moving setting.

THE ROLE

As a Lead Data Engineer, you will take charge of a Data Engineering team focused on data ingestion and modelling.

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

• Leading the design, build and optimisation of ETL pipelines and ingestion frameworks.
• Owning core data engineering solutions across modelling, transformation and orchestration.
• Acting as a technical lead while providing light people leadership to a growing team.
• Collaborating closely with stakeholders to shape data architecture and best practice.
• Driving high coding standards and contribute to long‑term platform scalability.

SKILLS AND EXPERIENCE

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

• Strong commercial experience working as a Data Engineer in AWS.
• Solid programming skills in Python and strong SQL capability.
• Exposure to orchestration tools such as Airflow or Dagster.
• Experience with modern data warehouses such as Snowflake, Redshift or BigQuery.
• Infrastructure‑as‑code experience, ideally Terraform or Pulumi.

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary between £90,000 – £110,000 – depending on experience.
• Fully remote work.

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/ML Engineer

Fully Remote
Competitive salary between 130,000 to 150,000 USD base salary (paid in GBP) + equity + bonus
No sponsorship available

A standout opportunity to join a high‑growth technology business building advanced AI features into a market‑leading analytics platform. This role is ideal for someone who loves end‑to‑end machine learning, enjoys experimenting with the latest AI and LLM tools, and wants to work in a fast‑moving product environment where models directly impact customers.

The Company

They are a well‑funded, fully remote, product‑led technology organisation operating in a highly data‑rich domain. Their platform provides deep analytical insights to help customers discover opportunities, make informed decisions, and protect their portfolios. With strong backing, global reach and an ambitious roadmap, they are investing heavily in AI and expanding their senior engineering capability. The culture values transparency, speed, curiosity, ownership and simplicity.

The Role

You will join a small, senior team focused on building AI‑powered features that sit at the heart of the product.

Your work will involve

• Creating and scaling machine learning models across large and complex datasets
• Conducting high‑quality exploratory data analysis and shaping modelling approaches
• Working end‑to‑end across data, modelling, evaluation and integration with engineering
• Experimenting with new AI and LLM tooling to influence the product roadmap
• Contributing to labelling, behaviour modelling and intelligence features
• Collaborating closely with product and engineering to ship AI features that drive real customer value

Your Skills and Experience

• Strong commercial experience in Python for data science and machine learning
• Confidence working end‑to‑end across the ML lifecycle, including EDA and best‑practice DS methodology
• Experience or interest in GCP
• Genuine interest in the crypto, blockchain or financial data space
• Curiosity for modern AI and LLMs, with evidence of experimentation or personal projects
• Comfortable working in product‑focused environments and contributing to engineering‑ready solutions
• Start‑up experience is beneficial; consultancy backgrounds are less suited to this role

What They Offer

• Competitive salary between 130,000 to 150,000 USD base salary, paid in GBP
• Performance‑based bonus
• Equity with a four‑year vesting schedule
• Fully remote working, with once a year meetups across EMEA and APAC
• A high‑impact role in a growing AI team with strong technical leadership

How to Apply

If you are excited by the opportunity, please apply with your CV or email me at

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Engineer

£90,000 – £110,000

Remote (UK Only)

This is a standout opportunity to take technical ownership of a modern data engineering function. You will shape data architecture, build high‑impact ETL pipelines, and play a key role in developing both the platform and the team as they enter their next phase of growth.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience. The environment is modern, engineering‑driven, and designed for people who enjoy solving complex technical problems in a fast‑moving setting.

THE ROLE

As a Lead Data Engineer, you will take charge of a Data Engineering team focused on data ingestion and modelling.

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

• Leading the design, build and optimisation of ETL pipelines and ingestion frameworks.
• Owning core data engineering solutions across modelling, transformation and orchestration.
• Acting as a technical lead while providing light people leadership to a growing team.
• Collaborating closely with stakeholders to shape data architecture and best practice.
• Driving high coding standards and contribute to long‑term platform scalability.

SKILLS AND EXPERIENCE

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

• Strong commercial experience working as a Data Engineer in AWS.
• Solid programming skills in Python and strong SQL capability.
• Exposure to orchestration tools such as Airflow or Dagster.
• Experience with modern data warehouses such as Snowflake, Redshift or BigQuery.
• Infrastructure‑as‑code experience, ideally Terraform or Pulumi.

BENEFITS

The successful Lead Data Engineer will receive the following benefits:

• Salary between £90,000 – £110,000 – depending on experience.
• Fully remote work.

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

Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.

You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.

What you’ll be doing

• Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
• Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
• Design, run, and analyse A/B tests and experiments in partnership with product teams.
• Define and track meaningful product metrics; ensure consistent measurement across teams.
• Build and maintain core data products enabling self‑serve insights and faster product decisions.
• Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
• Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
• Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.

What you bring

Must‑haves:

• Strong SQL skills (non‑negotiable).
• Hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
• Experience running and evaluating A/B tests and experimentation frameworks.
• Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
• Strong storytelling ability, turning numbers into narratives

Good to have:

• Experience working with large‑scale customer behaviour datasets.
• Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
• Python/R/dbt exposure (not required).

Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.

The culture & offer

• A modern, data‑mature environment with over four million UK users and expanding globally.
• A product‑led organisation investing heavily in experimentation and user behaviour analytics.
• Private equity backing driving international expansion and new capabilities.
• FTC with benefits, strong likelihood of multi‑month extension.
• Salary up to £85k depending on experience.
• Offices in London and Leicester – ideally 1-2 days per week but flexible.

To Apply for this Job Click Here