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Senior Data Engineer | £80,000 | Hybrid & Remote Flexibility

No Sponsorship Available

I am currently partnering with an innovative technology company that is simplifying complex processes through cutting-edge data solutions. They are seeking a Senior Data Engineer to join their agile, collaborative team, where hybrid working and flexible schedules are the norm.

The Role:
As a Senior Data Engineer, you will be instrumental in evolving the company’s data infrastructure, driving reliability, scalability, and insight. This is an end-to-end hands-on role where you will:

• Enhance the stability and performance of the data ecosystem.

• Manage data ingestion pipelines using Azure Data Factory (ADF) and Python.

• Ensure high-quality raw datasets to enable accurate analytics and data modeling.

• Deploy and maintain data tools on Kubernetes (Airflow, Superset, RStudio Connect).

• Support Data Analytics initiatives through DBT, DevOps, and deployment governance.

• You will work closely with a small, focused team, contributing directly to strategic data initiatives.

Candidate Profile:
The ideal candidate will have:

• Significant experience in Data Engineering, particularly with Azure, Databricks, and Delta Lake.

• Proficiency in Kubernetes, Infrastructure as Code, and Terraform.

• Strong understanding of Azure DevOps and software engineering best practices.

• A passion for delivering transparent, simple solutions and driving innovation in data.

If you thrive in a fast-paced, collaborative environment and enjoy seeing your solutions make a tangible impact, this role will offer you the opportunity to grow technically while shaping the company’s data landscape.

Package & Benefits:

• Competitive salary up to £80,000 (depending on experience).

• Flexible working and generous holiday allowance.

• Private medical insurance, pension scheme, cycle-to-work scheme.

• Death-in-service coverage and enhanced sick pay.

• Structured performance management with career development opportunities.

This is an exceptional opportunity to join a forward-thinking organisation where your expertise will be highly valued.

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Data Engineer – FinTech Scale-Up

Hybrid, London – £60,000 – £70,000

Company Our client is a fast-growing and innovative FinTech company at the forefront of analytics and technology. They have developed a proprietary, cutting-edge technology platform that integrates decision engines, databases, embedded modelling, analytics capabilities, and third-party integrations. This organization is in full scale-up mode and is seeking top-tier talent to drive their data and engineering capabilities to the next level.

The Role This is a fantastic opportunity for a skilled Data Engineer to take ownership of key aspects of a rapidly evolving data estate and infrastructure. The role is broad in scope and will offer excellent career progression opportunities for the right individual. You will play a pivotal role in evolving the company’s data stack, working with modern tools such as DBT and Airflow, and developing scalable, high-quality data pipelines and infrastructure.

Key Responsibilities:

• Lead the evolution of the company’s data stack, with a focus on automation and scalability.

• Design, build, and maintain robust data pipelines and infrastructure.

• Develop and enforce data governance frameworks and best practices.

• Collaborate with business teams, software engineers, and senior executives to align data strategy with business needs.

• Advocate for a strong data culture across the organization.

Your Experience The ideal candidate will be a proactive, results-driven Data Engineer with a passion for innovation and high-quality data solutions.

Requirements:

• 2-3 years of Data Engineering experience.

• Strong programming skills in SQL and Python.

• Proven experience in managing complex data estates and developing automated data pipelines.

• Good understanding of testing principles and deployment processes.

• Experience with technologies such as Redshift, Airflow, DBT, and AWS.

• Strong grasp of data modelling, database architecture, and governance principles.

• Hands-on experience with Git and modern development workflows.

• Excellent problem-solving skills, resilience, and a self-starter attitude.

• Ability to effectively communicate complex technical concepts to non-technical stakeholders.

The Benefits

• Competitive salary and performance-based annual bonus.

• Contributory pension scheme.

• Health and dental insurance, employee discounts, and cycle-to-work scheme.

• Hybrid working model with a modern office in a central London location.

• Exposure to C-suite executives and the opportunity to influence company-wide data strategy.

• A collaborative, meritocratic, and agile working environment, free from unnecessary bureaucracy.

• The chance to be part of an ambitious, growing business in the exciting scale-up phase.

If you are looking for a role where you can take real ownership, drive innovation, and contribute to the success of a dynamic and fast-growing FinTech, we’d love to hear from you!

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Senior Email Marketing Manager

Up to £50,000 | Hybrid – 3 days a week in London

Are you a hands-on email marketer who loves leading from the front? This is a fantastic opportunity to take ownership of email strategy and delivery across multiple high-profile consumer brands within one of the UK’s leading property groups.

The Opportunity

We’re looking for a Senior Email Marketing Manager to lead a growing team and drive best practice across high-volume, multi-brand campaigns. You’ll play a key role in shaping customer journeys, optimising lifecycle activity and improving performance across every stage of communication.

What You’ll Do

• Lead and mentor a team of five across email strategy, delivery and optimisation

• Manage large-scale B2C campaigns across 80+ brands

• Oversee lifecycle, triggered and BAU email programmes across multiple platforms (Dotdigital, BriefYourMarket, XMPIE)

• Drive testing, segmentation and personalisation to improve engagement

• Report on campaign performance and present insights to senior stakeholders

• Maintain compliance and GDPR standards across regulated communications

• Champion continuous improvement and innovation, including automation and AI opportunities

About You

• Proven experience managing end-to-end email marketing in a fast-paced B2C environment

• Strong people leadership and mentoring skills

• Confident working with data and campaign analytics tools (Power BI or similar)

• Comfortable working across multiple brands and stakeholders

• Excellent attention to detail and copy accuracy

• Experience in regulated or compliance-heavy sectors preferred

• Hands-on and proactive, with a collaborative, in-office leadership style

The Details

• Salary: Up to £50,000

• Location: Hybrid – 3 fixed office days (Tues/Weds/Thurs) in London

• Team: 5 direct reports across senior and junior exec levels

Join a collaborative marketing team driving the next phase of digital and CRM transformation – shaping how millions of customers engage with one of the UK’s most recognisable property brands.

Find out more and apply via the link below.

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Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000

A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.

What You’ll Do:

• Work closely with the Head of Analytics to deliver actionable insights across the network of charging points

• Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth

• Build statistical models for segmentation, regression, predictive modelling, and forecasting

• Support pricing and revenue optimisation initiatives, including dynamic pricing strategies

• Query and process large datasets coming from multiple real-time sources

• Translate complex analysis into clear recommendations for non-technical stakeholders

What You’ll Need:

• Strong SQL and Python skills; experience in AWS environments is a plus

• Solid statistical analysis background (segmentation, regression, forecasting)

• Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment

• Excellent communication skills and ability to take ownership of projects

• Experience delivering actionable insights rather than exploratory or purely machine learning work

Interview Process:

1. Remote competency interview and CV review

2. Face-to-face interview with testing component (details to be confirmed)

Find out more and apply via the link below.

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Senior Commercial Data Analyst
Location: London (Hybrid, 1-2 days per week)
Salary: £42,700-£53,700 + annual bonus

A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.

What You’ll Do:

• Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy

• Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform

• Translate complex data into actionable commercial recommendations across pricing, product and market performance

• Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth

• Analyse deal value, product performance, customer behaviour and digital/content trends

• Support budgeting, forecasting and wider commercial planning

• Build automated reporting and enable self-serve analytics across the business

Example Projects:

• Migrating legacy reports into a modern BI platform and improving reporting structures

• Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches

• Implementing forecasting and predictive analytics within dashboards

• Supporting CRM and commercial system integrations and helping drive adoption across global teams

• Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement

What You’ll Need:

• 3-5 years’ experience in analytics or commercial insights

• Strong SQL skills; Python experience desirable

• Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership

• Strong understanding of relational data structures and data modelling

• Confident communicator able to translate data into commercial action for non-technical stakeholders

• Proactive, curious, and comfortable operating as the sole data specialist in a team

Ideal Backgrounds:
Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.

Interview Process:

1. Initial conversation (CV anonymised)

2. Technical task

3. Task presentation to commercial stakeholders

4. Final interview with senior leadership

Find out more and apply via the link below.

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Senior Customer Analyst – Loyalty
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value.

What You’ll Do:

• Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and retention.

• Build and manage the Single Customer View (SCV) to unify customer data and enable personalised experiences.

• Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements.

• Partner with marketing, data, and global teams to deliver and measure loyalty initiatives.

• Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value.

Example Projects:

• Redesign loyalty programmes to increase engagement and repeat purchases.

• Develop SCV integrating purchase, engagement, and loyalty data.

• Model customer value to understand the impact of loyalty participation.

• Benchmark competitor loyalty schemes and propose differentiators.

• Share insights globally to replicate successful loyalty initiatives.

Requirements:

• Advanced SQL and experience with a dashboarding tool (Tableau/Looker).

• Strong understanding of loyalty programmes, CRM strategy, and customer engagement.

• Experience in loyalty analytics in e-commerce, retail, or telco environments.

• Analytical skills to interpret data and strategic mindset to design propositions.

• Confident working cross-functionally and internationally, with excellent stakeholder management.

Desirable:

• Python for statistical analysis.

• Experience designing and running A/B tests.

Application Process:

1. SQL test on Kaggle – 2 live-coding questions, interactive.

2. Skills-based interview – 45 minutes (30 minutes questions, 15 minutes candidate questions).

3. Case study/data analysis presentation – face-to-face in the office.

Find out more and apply via the link below.

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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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Senior Customer Analyst – CDM
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition.

What You’ll Do:

• Analyse customer behaviour across the lifecycle using SQL and modern analytics tools.

• Deliver actionable insights through dashboards and storytelling (Tableau/Looker).

• Run and evaluate A/B and multivariate tests to inform marketing and growth strategies.

• Support growth targets by identifying opportunities to move customers through lifecycle stages.

• Collaborate with marketing and senior stakeholders to influence customer strategy.

What We’re Looking For:

• Advanced SQL and experience with a dashboarding tool.

• Proven experience with customer analytics projects: single customer view, segmentation, churn, acquisition, LTV.

• Desirable: Python for stats analysis, experience designing and running A/B tests.

• Experience in e-commerce or tech environments with modern data stacks is a plus.

Find out more and apply via the link below.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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Senior Product Data Scientist – Up to £85k + Benefits | London (Hybrid)

A major consumer marketplace is hiring a Senior Product Data Scientist to lead analytics and experimentation across a high-impact product area. You’ll work closely with Product, Engineering and ML teams, owning technical discovery, shaping strategy, and driving experimentation at scale.

What you’ll do

• Lead analytics for a core product vertical

• Own technical discovery and experimentation frameworks

• Design, run and deeply analyse A/B tests (3-5 per quarter)

• Mentor other analysts (no line management)

• Influence product & business strategy end-to-end

• Enable scalable, self-serve analytics

What you’ll bring

• Strong SQL (daily use)

• Python experience (nice to have)

• BI tools (Looker/PowerBI/Tableau)

• Experience with Optimizely or similar testing platforms

• Excellent communication + stakeholder influence

• Hands-on, highly technical, commercially minded

Why apply?

• Up to £85k base

• 1 day a week in a modern London office

• Outstanding benefits

Perfect for someone who wants technical depth, strategic influence and high ownership-without people management.

Find out more and apply via the link below.

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