Analytics Engineer

Location: London (Hybrid working available)

Reporting To: Head of Data and Analytics

Who We Are

At Monica Vinader, we believe luxury should be empowering, long-lasting and responsibly made. Guided by integrity, craftsmanship and innovation, our goal is to elevate people’s lives by opening access to a more beautiful world. From crafting consciously with recycled precious metals and ethically sourced materials, to designing enduring, versatile pieces made to be layered, loved and lived in every day, we are redefining what modern jewellery can be. We create jewellery that marks moments, tells stories and becomes part of who you are, all while making responsible luxury more accessible.

Our Commitment To Sustainability, Innovation And Positive Impact Continues To Be Recognised Across The Industry.

Where we need your help

We have all the makings of an iconic brand – beautiful products that are timeless and designed to last, service that exceeds our customers’ expectations, a passionate founder that cares deeply about doing what is right, and a loyal and growing community who advocate for us. As an Analytics Engineer at Monica Vinader, you will sit at the heart of our data value chain, bridging the gap between data infrastructure and analytics delivery. You will own the transformation and governance layer that powers our dashboards, reporting and advanced analytics – ensuring the data our teams rely on is accurate, well-structured and cost-effective.

This role spans end-to-end across our data stack: from building and maintaining data models in dbt, through to managing ingestion from third-party sources, optimising costs across our cloud platform, and championing data quality best practices. We are a team that actively embraces AI tools and emerging technologies in our day-to-day work, and we are excited about how these will continue to evolve the way we build and deliver data products. You will be expected to share that mindset and be comfortable working in an environment where experimentation and pragmatic adoption of new tools is encouraged. If you thrive at the intersection of engineering rigour and analytical thinking, and you want to work in a collaborative, fast-paced retail environment where your work has a direct commercial impact, this is the role for you.

What You’ll Do

• Data Modelling & Transformation: Build, maintain and optimise data transformation models in dbt, ensuring clean, reusable and well-documented models that power dashboards, reporting and advanced analytics. Govern metric definitions within the modelling layer, working closely with the Senior Data Analyst and Head of Data to ensure consistency and accuracy across all data products. Surface high-value datasets in Sigma, Looker Studio and Google Sheets, enabling data to flow where it is needed most.
• Data Platform & Infrastructure: Manage and optimise our cloud data platform (GCP, BigQuery), with a strong focus on cost management, query efficiency, model refresh strategies and warehouse performance. Set up and maintain data ingestion from third-party sources using automated connector platforms or custom Python scripts, ensuring consistent and reliable data access. Collaborate with the wider technology team to continuously improve data systems, reduce technical debt, increase automation and improve observability. Build for resilience and scale – proactively identify areas for infrastructure optimisation and implement best practices.
• Governance, Quality & Testing: Champion robust data quality frameworks including validation, alerting and monitoring to catch and resolve issues before they impact stakeholders. Maintain clear and accessible documentation for data models, pipelines and governance processes, improving data literacy and trust across teams. Apply rigorous QA processes to all outputs, ensuring a high standard of data integrity across the team’s deliverables. Support data governance initiatives, ensuring responsible data use and alignment with privacy and compliance standards (e.g. GDPR).
• End-to-End Delivery: Take ownership of projects from requirements gathering through to delivery, demonstrating a data product mindset – understanding the business question behind the request and designing lean, impactful solutions. Build dashboards and reports in Sigma where appropriate, taking work end-to-end on your own use cases. Collaborate with cross-functional stakeholders to deeply understand their goals, translating them into well-structured data products.
• Innovation & Continuous Improvement: Use AI tools (e.g. Claude, GitHub Copilot) as part of your daily workflow to accelerate development, improve code quality and prototype solutions. Contribute to prototyping and testing new approaches to how we deliver data to the business, including supporting experiments with conversational data tools and alternative front-end interfaces. Stay up to date with emerging technologies and practices in data engineering, analytics and AI, sharing relevant learnings with the team. Evangelise data capabilities internally, supporting analysts, marketers and operators in better leveraging the data platform.

What You’ll Bring

• Connect & Empower: A collaborative communicator who can bridge technical complexity and business needs with ease. Comfortable working with stakeholders across the business, adapting your communication style to both technical and non-technical audiences. Willing to share knowledge, mentor peers and contribute to a supportive data community.
• Drive & Deliver: A proactive mindset – you take ownership, identify inefficiencies and drive continuous improvements without waiting to be asked. Strong attention to detail, particularly around data quality, governance and testing. Able to manage your own workload, balance competing priorities and deliver within agreed timescales. Demonstrable experience of end-to-end project delivery, from scoping through to stakeholder sign-off.
• Grow & Adapt: Comfortable working in a fast-paced, high-growth environment where priorities can shift and pragmatism is valued. A genuine curiosity for learning – whether that is new tools, techniques or business domains. Open to feedback and reflective about how to improve your own approach.
• Master & Apply: Strong command of SQL and experience with data transformation tools, preferably dbt. Hands-on experience with cloud data platforms, preferably GCP and BigQuery. Familiarity with data ingestion methods (e.g. Fivetran, custom Python scripts, API integrations) and reverse-ETL concepts. Understanding of data quality, observability and cost management best practices. Experience with BI tools such as Sigma, Tableau, Power BI or Looker Studio. Comfortable using AI tools to accelerate your own work (e.g. code generation, prototyping, documentation) and genuinely curious about how AI is changing the data landscape. Background in retail, DTC or e-commerce environments is strongly preferred. Familiarity with agile workflows and experience working closely with product, e-commerce or growth teams.

To be successful at Monica Vinader, it helps if you...

• Are hands-on, solutions-focused, and entrepreneurial.
• Collaborate openly with humility, honesty and humour.
• Embrace learning, teaching and personal growth.
• Stay resilient, adaptable and self-motivated in a creative environment.
• Speak up when you don’t know – and act fast to figure it out.

Additional Requirements: Ability to document your authorisation to work in the United Kingdom.

Travel Requirements: Occasional travel to our Norfolk / London office may be required.

Inclusive Culture Pledge: Monica Vinader as a global business commits to celebrating the diverse voices of our employees, partners and the customers we serve. Our jewellery is for everyone and so is our community. We will continue to implement sustainable changes to ensure that career opportunities and progression are open to all.

This job description is not intended to be an exhaustive list of duties to be performed by the employee. This job description may be altered to reflect the business needs of the company.