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Senior Data Engineer

Location: London (2 Days in Office)

Salary: £80,000

Join a growing, people‑first organisation where you’ll shape a modern Databricks Lakehouse platform, lead impactful data initiatives across the business, and enjoy true flexibility, autonomy and career growth.

The Opportunity
This is a mission‑driven organisation that empowers people to travel with confidence, backed by a strong culture of integrity, care and collaboration. It has recently entered an exciting growth phase following a strategic partnership, creating new opportunities for impact and innovation across the business. Recognised as one of the best places to work, the company offers a supportive, people‑first environment where every employee plays a meaningful role in shaping its future.

You’ll join a team that values autonomy, flexibility and personal development, with real investment in learning, wellbeing and career progression. This is a chance to contribute to a growing brand with clear purpose, strong leadership and a genuinely collaborative culture.

The Role and Responsibility
The role focuses on designing, building and maintaining scalable data pipelines and products on a modern Databricks Lakehouse environment, using Delta Lake, Spark, Python (PySpark) and SQL to deliver high‑quality, well‑governed data across the business. You’ll manage and optimise the cloud‑based data lakehouse, leverage features like Unity Catalog and Databricks Workflows, and ensure performance, quality, lineage and regulatory compliance. A key part of the role involves collaborating with stakeholders to understand requirements, communicate technical concepts clearly, and support delivery through Agile ways of working.

You’ll mentor junior engineers, contribute to a positive and inclusive team culture, and help embed best practices around governance, access control and secure handling of PII. The position suits someone who combines strong Databricks engineering expertise with excellent communication skills and a collaborative mindset.

Interview Process:

1. 30 Minute Conversation – Motivations
2. In-Person Technical Deep Dive – Competency Questions
3. In person Meeting with CEO and COO

If this role sounds interesting, apply now!

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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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Optimisation Consultant

£65,000

Hybrid – Birmingham

A leading UK health organisation is undergoing a major digital and operational transformation, moving away from legacy systems into a modern, product-led operating model. Over the past year, the business has adopted a Spotify-style squad and tribe structure, embedding optimisation capability into a more digital, data-driven environment.

The organisation is mid-way through a large-scale transformation programme, including the migration of core operations onto Salesforce and the introduction of intelligent automation across the business.

The Role

This role has been created to modernise traditional operational excellence and make it fit for a digital organisation. You will play a key role in shaping how processes operate in a product-led, technology-enabled environment.

Key responsibilities include:

• Leading process improvement initiatives across digital and operational teams
• Applying Lean thinking to redesign and optimise end-to-end processes
• Partnering with Product Owners, Digital and Operations to identify improvement opportunities
• Defining how processes should evolve and how technology can enable them, including Salesforce, RPA and AI
• Hands-on process mapping, data analysis and solution design

This is a high-impact role within a transformation that is already well underway, offering the opportunity to shape how a modern digital organisation operates.

**Please note we cannot offer sponsorship for this role**

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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