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Senior Data Engineer

Salary: £90,000

Location: Remote

Join a mission‑driven team using modern data engineering to directly improve lives, build pipelines with purpose and shape a platform that genuinely changes how people are supported.

The Opportunity

The company is a mission‑driven digital health provider focused on improving access to high‑quality mental health and neurodevelopmental support across the UK. It blends clinical expertise with modern, data‑led thinking to create meaningful, personalised care pathways for individuals of all ages. The organisation partners with major institutions to deliver assessments, therapy, and ongoing support while constantly refining its services through insight and innovation.

Joining the team means contributing to work that directly improves people’s lives and supports some of the most underserved communities. It’s an opportunity to play a key role in a growing data function where your impact is both immediate and deeply meaningful.

Role and Responsibilities
You’ll own the ingestion layer, building and maintaining pipelines that bring data from PostgreSQL, Zendesk, billing feeds and other sources into Databricks using tools like Fivetran or other ETL processing tools. You’ll develop Databricks jobs and notebooks to validate, preprocess and pseudonymise data, ensuring it’s accurate, reliable and ready for downstream modelling. A key part of the role is implementing secure authentication and role‑based access controls across AWS and Databricks, maintaining strong governance around PII.

You’ll write Python scripts to handle edge cases, automate testing and enhance resilience across the pipeline. You’ll also work closely with the Analytics Engineer and software teams to troubleshoot issues, support transformation layers and identify new tools that can improve speed, adaptability and quality.

Interview Process

1. Interview with HR team (30 Mins – Teams)
2. Technical Test / Conversation with Hiring Manager
3. Conversation and Culture Fit with CTO

If this role sounds interesting, and you want to make the world a better place through tech, apply now!

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SENIOR PRODUCT DATA SCIENTIST

£65,000-85,000 + BENEFITS

LONDON

An opportunity at a high-growth marketplace driving experimentation across the organisation.

THE COMPANY

This marketplace are heavily driven by Data and Analytics and are looking for a Senior Product Data Scientist to deliver actionable and meaningful insights using advanced analytics. This company has a vast amount of data to work through and as the Senior Product Data Scientist, you will be working closely with talented individuals to deliver essential insight that will allow the company to continue growing.

THE ROLE

As a Senior Product Data Scientist, you can expect to be analysing and interpreting results of both testing and optimisation experiments in a statistical and scientifically sound manor. By collaborating data engineers, you will be making sure that the right data is collected to produce actionable, but more importantly, relevant insights to the business.

In specific, you can expect to be involved in the following:

• Identification of opportunities to increase revenue through product optimisation
• Set up, analysis and interpretation of testing results and optimisation experiments in a statistical and scientific manor using SQL and visualisation tools such as Looker, Tableau, etc
• Analysis of customer behaviour for the purpose of generating insights and testable hypotheses
• Identification, design and iterative improvement of workflows and processes

YOUR SKILLS AND EXPERIENCE

The successful Senior Product Data Scientist will have the following skills and experience:

• Educated to a degree level with a significant quantitative component (e.g. math, computer science, physics or economics)
• Statistical background with knowledge of regressions and hypothesis testing
• Full proficiency using SQL, coding from scratch, commercial experience visualising data within Tableau (or similar), and commercial experience using Google Analytics (or similar)
• Significant experience with large-scale A/B Testing and tools such as (e.g. Optimizely, SiteSpect, VWO)
• Experience using Python for data analysis, building models of attribution, LTV, segmentations
• Significant experience defining and delivering insights and analysis for digital products in a B2C environment
• Experience using data visualisation tools such as Power BI, Looker, Tableau

THE BENEFITS

The successful Senior Product Data Scientist will receive a salary between £75,000 and £85,000, working in a company with an excellent culture, great pension scheme and good holiday package.

HOW TO APPLY:

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

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Lead Marketing Analyst

Location: Remote (UK-based)

Salary: Up to £100,000 + benefits

Start Date: ASAP

The Company

A global digital entertainment business with millions of active users worldwide. Known for creating immersive experiences and building strong communities, the company continues to invest heavily in data-driven marketing. You’ll be joining a dedicated Analytics, Data Science & Engineering hub that shapes strategy across marketing, customer lifecycle, and product.

The Role

This is a senior role leading marketing analytics for a fast-scaling consumer brand. You’ll be the central expert on campaign measurement, attribution, and optimisation, guiding spend and targeting decisions across multiple channels. Alongside delivering hands-on analysis, you’ll mentor a small team, partner with senior stakeholders, and ensure best practice in data-driven marketing decisions.

Key Responsibilities

• Lead and mentor a small marketing analytics team, setting best practices and ways of working.
• Own full-funnel, cross-channel analysis covering acquisition, engagement, and retention.
• Improve campaign performance measurement through attribution modelling, incrementality testing, and media mix modelling.
• Partner with Data Science to develop predictive models (e.g. LTV, churn) to inform budget allocation.
• Build and maintain marketing forecast models to optimise spend and ROI.
• Conduct robust statistical analysis to improve campaign testing methodologies.
• Deliver clear reporting and actionable insights to marketing, CRM, and executive stakeholders.
• Collaborate with Data Engineering to ensure reliable data pipelines and infrastructure.
• Champion a data-first approach across marketing and product teams.

Skills & Experience

Essential:

• 5+ years’ experience in marketing analytics or a related data role.
• Proven ability to lead or mentor junior analysts.
• Expertise in attribution, incrementality, and campaign measurement.
• Strong SQL skills and proficiency with analytics tools (e.g. GA4, Looker, Tableau, Power BI).
• Hands-on experience with digital marketing channels including CRM, paid media, and lifecycle.
• Strong communication skills, comfortable influencing senior stakeholders.
• Excellent statistical analysis and data storytelling ability.

Desirable:

• Experience building LTV, churn, or other predictive models.
• Familiarity with marketing mix modelling and forecasting techniques.
• Python or R for advanced analytics.
• Exposure to high-volume, consumer-facing industries (gaming, media, entertainment, or subscription).

Interview Process

1) Introductory chat with the hiring manager.
2) Technical task and presentation.
3) Final interview with senior leadership, focusing on strategy, culture, and stakeholder alignment.

How to Apply

Send your CV to Mohammed Buhariwala at Harnham, or connect on LinkedIn to learn more.

Keywords

Lead Marketing Analyst, Marketing Analytics, SQL, Python, Attribution, Incrementality, Media Mix Modelling, Campaign Measurement, Forecasting, LTV, Churn, Data Storytelling, Stakeholder Management, Remote.

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Process Consultant – Digital Transformation | Up to £65,000 | Hybrid | Birmingham, Leicester, or Leeds

A major financial services organisation is undergoing significant digital transformation, moving from legacy systems into a modern, product-led operating model. They are mid-way through migrating core operations onto Salesforce and embedding intelligent automation across the business.

The Role

As a Process Consultant, you will lead process improvement across digital and operational teams, using Lean thinking to redesign and optimise end-to-end processes. This role sits at the intersection of Product, Digital and Operational Excellence.

You will be part of a collaborative team from varied backgrounds including financial services, telecoms, energy, manufacturing, and consulting. The team consists of 3 Optimisation Consultants and 6 Process Analysts, with matrix leadership responsibility over the analysts.

Key Responsibilities

Lead process improvement using Lean methodology. Partner with Digital teams, Product Owners and Operations to identify opportunities. Work hands-on to map processes, analyse data, and design improvements. Determine how technology can enable process change (Salesforce, RPA, AI). Coach Process Analysts and uplift capability in data analysis. Influence stakeholders across the business including Directors and Heads of function. Present complex findings clearly. Work in agile product teams alongside developers and product owners.

Example Project

The organisation processes 500,000 healthcare invoices per year. Some breach a 30-day SLA. You would break down data by invoice type, identify delays, analyse root causes, map the process, use Lean thinking to redesign the flow, decide where digital tools can help, and present clear recommendations.

What You’ll Work On

Large-scale Salesforce transformation. Agile product teams. Digital optimisation using RPA, process mining, and intelligent automation. Process mapping using ARIS. Focus on optimising before digitalising, not automating broken processes.

Essential Skills

Deep Lean expertise. Strong process improvement and design capability. Data-driven mindset, comfortable with numbers and problem-solving. Strong Excel skills. Digital exposure in RPA, automation, AI, or product environments. Confident communicator. High EQ and collaborative. Natural problem solver and self-starter.

Desirable Skills

SQL and Power BI. Salesforce exposure. Tools: UI Path, ARIS, process mining. Background in financial services, telecoms, energy, manufacturing, consulting, or digital product.

Package & Benefits

Salary: Up to £65,000. Bonus: 10% target. Location: Birmingham, Leicester, or Leeds (your choice). Hybrid: 2 days per week in office (moving to 3 days from September). Notice: Up to 3 months accepted. 25 days annual leave. Company pension. Life assurance. Private healthcare. 1 paid charity day. Season ticket loan.

Interview Process

Stage 1: 30-minute virtual intro with Product Lead. Stage 2: 2-hour virtual interview with structured Lean questions and presentation. Stage 3: 30-minute final with Head of Business Design & Optimisation. Strong candidates progress quickly.

About the Team

This is a pragmatic, collaborative team that combines Lean, data and digital thinking. The business is looking for optimisation specialists who can bridge the gap between traditional operational excellence and digital transformation.

If you have deep Lean expertise, are comfortable with data, and have exposure to digital and automation, this is a rare opportunity to work on large-scale digital transformation in a modern, product-led environment.

For more information or to apply, please get in touch.

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SENIOR DATA ENGINEER

UP TO £90,000 + BENEFITS

Remote (UK based)

As a Senior Data Engineer, you’ll take ownership of the data ingestion layer, working with complex and sometimes messy healthcare data sources. You’ll play a key role in shaping how data is collected, transformed, and made available across the organisation.

This is a hands-on role suited to someone who enjoys autonomy, ambiguity, and rolling up their sleeves.

THE COMPANY:

We’re partnering with a fast-growing digital health provider operating in the mental health and neurodiversity space. The business is mission-driven, highly regulated, and expanding its services across healthcare and corporate wellbeing.

This is a rare opportunity to join at a pivotal stage, helping to build a modern data platform from scratch in a small, trusted team where your work will have immediate impact.

THE ROLE:

A Senior Data Engineer will need to:

• Build and maintain Python-based batch ingestion pipelines from a variety of healthcare systems
• Work extensively with Databricks on AWS
• Contribute to data modelling and transformations using dbt
• Collaborate with analysts and stakeholders to support reporting and insights (PowerBI)
• Help establish best practices around data quality, governance, and reliability in a regulated environment

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.

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

SENIOR DATA ENGINEER

UP TO £90,000 + BENEFITS

Remote (UK based)

As a Senior Data Engineer, you’ll take ownership of the data ingestion layer, working with complex and sometimes messy healthcare data sources. You’ll play a key role in shaping how data is collected, transformed, and made available across the organisation.

This is a hands-on role suited to someone who enjoys autonomy, ambiguity, and rolling up their sleeves.

THE COMPANY:

We’re partnering with a fast-growing digital health provider operating in the mental health and neurodiversity space. The business is mission-driven, highly regulated, and expanding its services across healthcare and corporate wellbeing.

This is a rare opportunity to join at a pivotal stage, helping to build a modern data platform from scratch in a small, trusted team where your work will have immediate impact.

THE ROLE:

A Senior Data Engineer will need to:

• Build and maintain Python-based batch ingestion pipelines from a variety of healthcare systems
• Work extensively with Databricks on AWS
• Contribute to data modelling and transformations using dbt
• Collaborate with analysts and stakeholders to support reporting and insights (PowerBI)
• Help establish best practices around data quality, governance, and reliability in a regulated environment

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.

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

SENIOR DATA ENGINEER

UP TO £90,000 + BENEFITS

Remote (UK based)

As a Senior Data Engineer, you’ll take ownership of the data ingestion layer, working with complex and sometimes messy healthcare data sources. You’ll play a key role in shaping how data is collected, transformed, and made available across the organisation.

This is a hands-on role suited to someone who enjoys autonomy, ambiguity, and rolling up their sleeves.

THE COMPANY:

We’re partnering with a fast-growing digital health provider operating in the mental health and neurodiversity space. The business is mission-driven, highly regulated, and expanding its services across healthcare and corporate wellbeing.

This is a rare opportunity to join at a pivotal stage, helping to build a modern data platform from scratch in a small, trusted team where your work will have immediate impact.

THE ROLE:

A Senior Data Engineer will need to:

• Build and maintain Python-based batch ingestion pipelines from a variety of healthcare systems
• Work extensively with Databricks on AWS
• Contribute to data modelling and transformations using dbt
• Collaborate with analysts and stakeholders to support reporting and insights (PowerBI)
• Help establish best practices around data quality, governance, and reliability in a regulated environment

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.

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

Lead / Principal Data Science Consultant

Up to £150,000 + Benefits

Minimum 3 days per week on client site

I’m working with a well-established consulting business that is building a new data and AI function and is looking for senior hires to help shape it from the ground up.

This role sits at the intersection of data delivery, client leadership, and business development. There is committed investment and approval to grow the team to around 10 hires, giving real scope to influence how the function is built and how work is won and delivered.

The Role

You’ll work closely with clients to identify high-impact opportunities for data science, AI, and advanced analytics, then lead those ideas through to real operational outcomes. Early on, a key part of the role will be shaping and winning work, alongside leading delivery on complex engagements.

You’ll spend a minimum of three days per week on client site, working directly with senior stakeholders and delivery teams.

What They’re Looking For

• Strong experience delivering data science, AI, or advanced analytics in a client-facing environment

• Proven ability to take ideas from concept to production

• Commercial mindset, with experience shaping or winning client work

• Excellent stakeholder communication and leadership skills

• Comfortable working on client site at least 3 days per week

Package & Opportunity

• Up to £150,000 base salary

• Key role in building and scaling a new data function

• Clear progression into senior leadership / partner-track roles

To Apply for this Job Click Here

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Technical Programme Manager

12-Month Fixed-Term Contract (potential to go perm) | London – Hybrid Working

We’re working with a technology-driven, high-growth organisation to appoint a Technical Programme Manager on a 12-month fixed-term contract.

This role will lead complex, cross-functional technology programmes, partnering with engineering, product, data, finance and security teams to deliver meaningful improvements in efficiency, governance and technical capability.

Key responsibilities:

• End-to-end ownership of strategic technical programmes
• Driving alignment across multiple teams and senior stakeholders
• Delivering initiatives such as systems consolidation, tooling optimisation and platform improvements
• Clear communication of progress, risks and trade-offs to leadership
• Managing dependencies, risks and delivery in a fast-paced environment

About you:

• Proven experience as a Technical Programme or Senior Technical Project Manager
• Strong background delivering cross-functional technology transformation
• Excellent stakeholder management and communication skills
• Good understanding of software development lifecycles and data platforms
• Experience working in Agile or hybrid delivery environments
• Comfortable working autonomously and managing multiple priorities

If you are interested in this role and would like to be considered, please apply. To follow up please message me on LinkedIn or email.

To Apply for this Job Click Here

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Lead Marketing Analyst

Salary: Up to £100,000 -£120,000

Location: Remote

We’re partnering with a leading name in digital entertainment, renowned for creating deep, engaging products across PC, console, mobile, and subscription platforms. With millions of users worldwide, they’re seeking a hands-on Lead Marketing Analyst to drive smarter decisions across their ecosystem.

About the Role:

You’ll work across web, app, and digital products – not just reporting, but shaping how players engage, subscribe, and stay connected. You’ll be leading marketing analytics projects within the business, covering areas like uplift, LTV, incrementality, MMM, and attribution, to generate actionable insights that influence strategy at scale.

What You’ll Need:

• Strong SQL skills and expertise in data visualization
• Proven B2C analytics experience (subscription focus essential)
• Experience across multiple platforms – web, app, PC (not just web analytics)
• Experience driving marketing analytics projects (uplift, LTV, incrementality, MMM, attribution)
• Background in mobile gaming or consumer app
• Experience in a start-up or scale-up environment is a plus

If you’re ready to make an impact in a fast-growing digital entertainment company, send your CV to register your interest.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Engineer

Remote, US based

$160k-$175k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is scaling its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive measurable impact. As the business grows, data is becoming central to how decisions are made across Finance, GTM, and Product.

This is an opportunity to step into a high ownership analytics engineering role where your work directly influences business strategy and execution.

The Role

As a Senior Analytics Engineer, you will own the analytics layer end to end. This role blends data modeling, analytics engineering, reporting, and stakeholder partnership, with a clear mandate to move the organization from reactive reporting to insight led decision making.

You will be embedded within the Finance organization and work closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with a clear path toward people leadership as the data function matures.

What You Will Do

• Own the analytics stack from data modeling in Snowflake through to dashboards and reporting in Metabase
• Design and maintain high quality data models that power trusted, scalable analytics
• Lead the migration away from legacy BI tools and establish a single source of truth
• Build self service dashboards for Finance, GTM, RevOps, and Product stakeholders
• Partner with business leaders to translate questions into durable analytics solutions
• Proactively surface insights that influence planning, forecasting, and strategic decisions
• Improve data quality, consistency, and usability across the analytics layer
• Define analytics standards, tooling, and best practices as the function evolves
• Support the transition toward predictive and forward-looking analytics over time

What We Are Looking For

• 5-7+ years of experience in analytics engineering, analytics, or data analysis
• Advanced SQL skills with hands on experience in Snowflake
• Strong experience building dashboards in Metabase
• Proven ability to own data models and analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Comfort operating independently and taking full ownership of analytics domains
• Experience with dbt, forecasting, experimentation, or predictive analytics is a plus
• Interest in modern data tooling and AI enabled analytics
• Strong communication skills and ability to work effectively with non technical stakeholders

Why This Role

This role is ideal for a Senior Analytics Engineer who wants ownership, visibility, and real influence. You will help shape how data is used across a growing SaaS organization while supporting a meaningful social mission, with the opportunity to grow into leadership as the team scales.

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Data Engineering Manager

Location: Remote, US based

Salary: $200-250k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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