Analytics Engineering Lead, Moonpig
Salary not provided
SQL
Python
Tableau
Snowflake
Git
dbt
Datadog
Senior and Expert level
London
1-2 days a week in office
Online company for personalised cards, gifts and flowers
Be an early applicant
Online company for personalised cards, gifts and flowers
501-1000 employees
B2CRetailFlowerseCommerce
Be an early applicant
Salary not provided
SQL
Python
Tableau
Snowflake
Git
dbt
Datadog
Senior and Expert level
London
1-2 days a week in office
501-1000 employees
B2CRetailFlowerseCommerce
Company mission
To help people connect and create moments that matter.
Role
Who you are
- Extensive experience in analytics engineering, data modelling, or related data disciplines, with a proven track record of operating across complex business domains
- Advanced SQL expertise, including complex data modelling, transformation, and performance optimisation
- Strong experience designing and maintaining scalable data models using dbt
- Proven experience working with Snowflake and modern cloud-based data platforms
- Deep understanding of analytics architecture, data governance, and scalable data design principles
- Experience writing clean, efficient Python code for automation and data processing
- Strong knowledge of Git and collaborative software development practices
- Ability to influence stakeholders and build strong cross-functional relationships
- Experience operating with autonomy and making decisions in ambiguous environments
- Passion for mentoring, coaching, and developing other engineers
- Comfortable working within agile delivery environments
- Curiosity for emerging technologies, tools, and best practices within the data ecosystem
- Experience with DataDog, Dagster, Fivetran, or Tableau would be beneficial but is not essential
What the job involves
- At Moonpig Group, data powers how we create personalised experiences, make better decisions, and drive growth. As a Lead Analytics Engineer, you'll play a key role in shaping how data is modelled, governed, and consumed across the business
- Operating at a business domain level, you'll combine deep technical expertise with commercial thinking to define, prioritise, and deliver analytics engineering solutions that enable scalable, trusted, and actionable data. You'll work closely with stakeholders across Product, Marketing, Finance, Engineering, Data Science, and the wider Data team, helping turn complex challenges into high-impact data products
- As a technical leader within Analytics Engineering, you'll help set standards, mentor others, and influence the future direction of our data platform. This is an opportunity to make a meaningful impact on how Moonpig uses data to innovate, personalise customer experiences, and scale effectively
- Lead the planning and delivery of analytics engineering initiatives across business domains, aligning work with strategic priorities
- Own the delivery of scalable data models and datasets, coordinating contributions from other engineers where required
- Partner with stakeholders across Product, Marketing, Finance, Data Science, and Engineering to define requirements and shape solutions
- Challenge and influence stakeholders to drive scalable, sustainable, and high-impact data solutions
- Act as a technical leader for analytics engineering, promoting best practices in data modelling, testing, documentation, and governance
- Design and implement scalable, reusable data models using dbt and Snowflake
- Lead architectural decisions, balancing performance, cost, scalability, and usability
- Contribute to the evolution of analytics engineering standards, tooling, and data platform capabilities
- Make and own technical decisions, balancing trade-offs between speed, scalability, and cost
- Ensure high standards of data quality through testing, monitoring, and governance practices
- Use metrics such as data quality, pipeline performance, and adoption to drive continuous improvement
- Identify opportunities to optimise processes, tooling, and workflows
- Translate complex business and data challenges into scalable data models and actionable delivery plans
- Advocate for best practices in data modelling, governance, and data usage across the organisation
- Represent Analytics Engineering in cross-functional discussions, helping teams navigate priorities and trade-offs
- Mentor and support analytics engineers through code reviews, pairing, and knowledge sharing
- Contribute to raising the overall quality, consistency, and maturity of the analytics engineering function
- Support the optimisation and scalability of the Snowflake data platform, ensuring performance, security, and cost efficiency
- Evaluate and introduce new tools and technologies that improve platform capability and engineering effectiveness
- Drive adoption of standardised, well-documented data models across the business
Application process
- Recruiter Screening Call
- Hiring Manager Interview and Technical Assessment
- Technical Test
- Interview with Wider Team Members
- Final Interview
- Our process may vary depending on role and availability. We keep candidates informed of any changes
Salary benchmarks
Our take
When Moonpig was founded in 2000, it bought into the idea that a personalised gift is always more meaningful, whether sent from the sofa, the commute, or the gym. Customers quickly bought into this vision, and Moonpig saw rapid growth culminating in its 2011 acquisition by Photobox for ÂŁ120M.
Since then, Moonpig has seen continued success. Through expansion into new products such as flowers (Moonpig is now a top-3 online flower seller) and the development of its own app, Moonpig has established its place within the market for personalised gifts.
And it doesn't plan on slowing down anytime soon, as it looks to expand even further. Recent innovations have included the introduction of giant cards, and the company has also secured the ability to create exclusively branded ranges alongside Disney and Warner Bros. This commitment to innovation positions Moonpig to capture even more market share and strengthen its leadership in the industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Led by a woman
Company
Company benefits
- Annual reviews
- Attractive annual bonus scheme - with increased earning potential based on business and individual performance
- Pension scheme where we match up to 5%
- Referral scheme with cash bonus available
- Interest-free travel loan
- Sharesave Plan - Save as you earn
- Generous staff Moonpig, Red Letter Days and Buyagift products
- Private medical insurance
- Private dental plan
- Life assurance paying 4x your salary
- Eye care vouchers
- Cycle to work scheme
- Free access to 24h mental health and wellbeing resource as well as one to one therapy sessions via Spill
- Dog-friendly offices
- Access to a broad range of training workshops and courses
- Technical and professional qualifications policy, allowing individuals to apply for a more formal professional qualification, using allocated individual allowance
- Career Conversations with your manager to create your Career Development Plan
- 25 days’ holiday plus 1 day per year of service (up to 30 days)
- Growing Your Family - 8 weeks paid supporting caregiver leave and 24 weeks full pay primary caregiver leave (based on qualifying criteria)
- Flexible working opportunities based on our Ways of Working - inclusive of Hybrid and Remote
- Summer Hours - We finish at 4pm on Friday's during the months of June, July and August
- Volunteering - 1 day - the equivalent of 8 hrs of time to give back - through a chosen charity or our MP Group Foundation
- Matched Funding Scheme - This scheme provides colleagues with a fundraising allowance to support causes close to their hearts
Company HQ
Farringdon, London, UK
Leadership
Catherine Faiers
(CEO)Previously Non-Exec Director at Allegro and COO of Auto Trader and Addison Lee. Was also Corporate Development Director at Trainline and a Director at DC Advisory.
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