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About the Role

At Moonpig Group, data powers personalized experiences, informed decisions, and business growth. As a Lead Analytics Engineer, you will shape data modeling, governance, and consumption across the organization. You will combine technical expertise with commercial acumen to deliver scalable, trusted, and actionable data solutions, working with stakeholders across various departments to transform complex challenges into high-impact data products. This role offers an opportunity to provide technical leadership, set standards, mentor others, and influence the future direction of the data platform, making a significant impact on how Moonpig uses data for innovation and scaling.

Responsibilities

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.

Requirements

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.

Skills

SQL
dbt
Snowflake
Python
Git
Data Modelling
Data Governance
Analytics Architecture
Agile Methodologies
DataDog
Dagster
Fivetran
Tableau

Location

London

Work Type

Hybrid
Full-time

Experience Level

Lead

Salary/Compensations

Competitive Salary

Benefits

Competitive Pay & Bonuses
Generous pension plans
Staff discounts
Private healthcare (UK)
Mental health support
Dog-friendly offices (London & NL)
Generous holidays
Hybrid working (1-3 days in office, depending on role/team)
Up to 20 days of international working
Learning allowances
Coaching & development programs

About the Company

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered.
We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart.
Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.
We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special.
Our values guide how we work and support one another, creating a place where people (and ideas) can truly thrive.
We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life.
Face-to-face office time is an important and expected part of working at Moonpig Group, supporting collaboration, alignment, and effective decision-making.

Equal Opportunity

At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong.
We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us.
From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them.
We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress.
Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.
If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so😊 - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.