Marketing Analytics Engineer

Marketing Analytics Engineer

Full-Time 80000 - 90000 £ / year (est.) Home office (partial)
Propel

At a Glance

  • Tasks: Architect and deliver a transformative Martech infrastructure for a leading consumer services business.
  • Company: Join a top UK consumer services company with a strong focus on digital transformation.
  • Benefits: Competitive salary, hybrid working, and a chance to shape a 5-year transformation programme.
  • Other info: Opportunity to work closely with senior stakeholders and lead innovative projects.
  • Why this job: Make a real impact by integrating data and driving marketing analytics in a dynamic environment.
  • Qualifications: Experience in Martech engineering, analytics, or data infrastructure; SQL and Python skills required.

The predicted salary is between 80000 - 90000 £ per year.

I'm working with one of the UK's leading consumer services businesses on a genuinely rare hire. They're mid-transformation - rebuilding their data and Martech infrastructure from the ground up, with CEO-level backing, real budgets, and a 5-year roadmap to match. They operate like a retail business - weekly trading rhythms, growing media investment, and a big push into D2C and digital journeys. The data estate today is fragmented: multiple CRMs, siloed marketing data, parts of the business still not fully digitised. The ambition is to get all the way to full econometric modelling.

This role is neither pure analytics nor pure engineering. This is a hybrid - for someone who can design the infrastructure, phase the delivery, and still communicate clearly with senior marketing stakeholders about what the data is telling them.

What you'll be doing

  • This is a high-ownership, high-visibility role sitting at the intersection of Martech engineering, data infrastructure, and marketing analytics.
  • The data estate is complex and fragmented - your job is to architect how it gets brought together, and then deliver against that roadmap incrementally over time.
  • Designing and building the connector layer that integrates marketing platforms, CRM systems, and data sources across four business units.
  • Leading the progression toward a single customer view - reconciling customer data held across multiple systems and brands.
  • Owning the Martech transformation roadmap: phasing delivery in sprints, driving incremental value at every stage, not just at the end.
  • Working with BigQuery as the likely data lake destination - advising on platform decisions as the stack evolves.
  • Drawing on wider engineering resource in the business - acting as the architect and technical lead, not the sole builder.
  • Building dashboards, reporting frameworks, and pipelines used in weekly trading and executive reviews.
  • Supporting the evolution toward attribution, incrementality, and econometric modelling as investment scales.
  • Translating complex infrastructure decisions into clear language for marketing leadership.

The first 12 weeks will be focused on data quality and foundations - understanding the existing estate, cleaning it up, and making it reliable before greenfield re-architecture begins. That groundwork is what everything else gets built on. This is a continuous delivery model - the Martech stack will keep evolving, new technologies will be added, and the roadmap will be maintained and iterated for as long as this person is in the role.

What we're looking for

  • Background is open - digital transformation, scale-up, or greenfield Martech builds are all strong fits.
  • What matters most is that you've done this kind of work before and can hit the ground running with minimal hand-holding.
  • Hands-on experience in Martech engineering, analytics engineering, or data infrastructure -- ideally including greenfield builds.
  • Familiarity with data integration patterns: API connectors, ETL/ELT pipelines, data lake architecture.
  • Exposure to SCV delivery, CRM data unification, or multi-source data reconciliation.
  • SQL and Python essential; BigQuery, Snowflake, or similar cloud data platforms.
  • Experience with Google Analytics, Google Ads, Google Data Manager.
  • Comfortable translating technical decisions into clear recommendations for non-technical stakeholders.
  • Attribution, incrementality, or econometric modelling experience is a plus.

This will suit you if:

  • You've architected a Martech or data infrastructure transformation before and want to do it again with more scope.
  • You're equally comfortable in a technical deep-dive and a senior stakeholder conversation.
  • You enjoy building systems and phasing delivery -- and get satisfaction from incremental progress, not just the finish line.
  • You're energised by ambiguity and shaping your own remit rather than waiting for a brief.
  • You want to leave a visible mark on a business and be part of something genuinely meaningful.
  • You're comfortable being a senior individual contributor and see that as a strength, not a stepping stone.

This probably won't be right for you if:

  • You're looking for a pure analytics or pure engineering role -- this genuinely requires both.
  • You prefer a well-defined brief in a stable, structured environment.
  • You've spent most of your career directing or delegating rather than doing.
  • You want a remote-first role.
  • You're uncomfortable with ambiguity or working without a playbook.

Benefits

  • Salary up to £90,000 depending on experience.
  • Hybrid working - 3 days per week in Maidenhead (near the train station, parking available).
  • A 5-year transformation programme with genuine scope and visibility.
  • The chance to architect something from scratch with CEO-level backing.

Please note: sponsorship cannot be provided for this opportunity. Candidates must have full existing right to work in the UK and will be required to pass pre-employment checks.

Marketing Analytics Engineer employer: Propel

Join one of the UK's leading consumer services businesses as a Marketing Analytics Engineer, where you'll play a pivotal role in a transformative journey backed by the CEO. With a hybrid work model and a focus on employee growth, you'll have the opportunity to architect innovative data solutions while enjoying a collaborative culture that values your contributions. This is a unique chance to make a significant impact in a dynamic environment, all while being part of a forward-thinking team in Maidenhead.

Propel

Contact Details:

Propel Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Marketing Analytics Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your experience in Martech engineering and analytics. This will give you something tangible to discuss during interviews and show that you're not just all talk.

Tip Number 3

Prepare for those interviews! Research the company’s current data infrastructure and think about how you can contribute to their transformation. Be ready to discuss your past experiences and how they relate to the role of Marketing Analytics Engineer.

Tip Number 4

Apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly shows your enthusiasm and commitment to being part of our exciting journey.

We think you need these skills to ace Marketing Analytics Engineer

Martech Engineering
Data Infrastructure Design
Data Integration Patterns
API Connectors
ETL/ELT Pipelines
Data Lake Architecture
SQL

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in Martech engineering and analytics. We want to see how your background aligns with the role, so don’t hold back on showcasing relevant projects!

Showcase Your Technical Skills:Since this role is a hybrid of analytics and engineering, be sure to emphasise your hands-on experience with SQL, Python, and any cloud data platforms like BigQuery. We’re keen to see how you’ve used these skills in past projects.

Communicate Clearly:Remember, you’ll need to translate complex technical concepts into clear language for non-technical stakeholders. Use your application to demonstrate your ability to communicate effectively, perhaps by including examples of how you've done this before.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on being part of our transformation journey!

How to prepare for a job interview at Propel

Know Your Martech Inside Out

Make sure you’re well-versed in the latest trends and technologies in Martech. Brush up on your knowledge of data integration patterns, API connectors, and cloud data platforms like BigQuery or Snowflake. Being able to discuss these topics confidently will show that you’re ready to hit the ground running.

Prepare for Technical Deep-Dives

Since this role requires a blend of technical and stakeholder communication skills, be prepared to dive deep into your past experiences. Think of specific projects where you’ve architected data infrastructure or led transformations, and be ready to explain your thought process and decisions clearly.

Showcase Your Problem-Solving Skills

This position involves navigating ambiguity and shaping your own remit. Prepare examples of how you've tackled complex problems in previous roles, especially in fragmented data environments. Highlight your ability to deliver incremental value and how you phased delivery in sprints.

Communicate Clearly with Non-Technical Stakeholders

Practice translating complex technical concepts into simple language. You’ll need to communicate effectively with senior marketing stakeholders, so think about how you can convey your ideas clearly and persuasively. This skill will be crucial in demonstrating your fit for the role.