Analytics Engineer Data Head Office

Job Title:

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. We are proud to have received:

• Responsible Jewellery Brand, 2026 – Country & Town House
• Responsible Business of the Year, 2025 – Positive Luxury
• Top 50 Inspiring Workplaces (UK & NI), 2024 – Inspiring Workplaces

With a global footprint across physical retail, e-commerce and trusted partners, we put our community at the heart of everything we do. Proudly female-founded and inclusive, we build meaningful relationships with the people who wear and love our jewellery.

We are looking for an Analytics Engineer to join us as we continue this journey and help us shape what the future of modern jewellery can and should be.

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.

• 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

• Manage and optimise our cloud data platform (GCP, Big Query), 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 identifying areas for infrastructure optimisation and implementing best practices

• Champion robust data quality frameworks including…