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Mulberry · London, England, United Kingdom
Born in 1971, the roots of Mulberry are in Somerset, England. For more than fifty years, Mulberry has been a British lifestyle brand, internationally acclaimed for quality and design capturing the Mulberry Spirit.
Sustainability has been part of the Mulberry ethos since the brand's inception, in recognition of our purpose-driven approach, in 2024 we proudly achieved B Corp Certification.
Today, we are a global brand, but our values remain the same; we are committed to improving our impact on people and the planet. To do this our people are honest, dynamic, and community spirited.
If these are values you share, we would love you to join our team.
We’re looking for an experienced Data Engineer to join Mulberry and play a key role in building the data foundations that will support the next stage of our reporting, analytics and insight capabilities.
Joining as a member of our Data Foundations Project, you’ll help transform how data is brought together, structured and used across the business. You’ll design and build robust data pipelines, models and integration patterns that improve the quality, accessibility and trusted use of data.
This is a hands-on role where you’ll work closely with colleagues across Technology, the wider business and specialist third-party partners. Alongside engineering and delivery, you’ll help shape the technical standards and architecture that underpin our data platform, creating the foundations for reporting, customer insight and future artificial intelligence use cases.
What You’ll Be Doing
Data Platform Architecture
Working with the Head of Data, design and document our target data platform architecture in line with the Data Foundations roadmap and wider technology standards.
Develop engineering principles, integration patterns, data models and technical standards covering data ingestion, transformation, storage and access.
Assess the integration of source systems, platforms and services to create a coherent and scalable data architecture.
Identify architectural risks, technical debt and dependencies, recommending practical solutions.
Data Engineering & Integration
Design, build, test and maintain robust ETL and ELT pipelines across our core business systems and third-party data sources.
Develop and optimise data structures, datasets and transformation processes, primarily within Google Cloud Platform (GCP) and BigQuery.
Create reusable integration components and engineering patterns that improve consistency and delivery.
Make sure data pipelines are effectively monitored, documented and supported throughout their lifecycle.
Investigate and resolve complex data, integration and platform issues, partnering with internal teams and external specialists where needed.
Data Modelling, Quality & Governance
Design logical and physical data models that support trusted reporting, analytics and operational use cases.
Build a semantic layer to support self-service reporting tools and an MCP layer for natural language interrogation.
Implement data quality controls, validation and monitoring to improve the accuracy, completeness and consistency of our data.
Enable data lineage, metadata and auditability across priority data domains.
Partner with data owners and stakeholders to establish clear definitions, ownership and appropriate access.
Ensure solutions support data protection, retention, security and relevant regulatory requirements.
Delivery, Collaboration & Technical Leadership
Turn business and architectural requirements into clear technical designs and practical engineering solutions.
Build strong relationships across the business, Technology teams and specialist partners to understand requirements and deliver effective solutions.
Provide technical guidance across data engineering and platform delivery, including reviewing third-party designs and code.
Produce clear technical documentation, including architecture diagrams, data flows, mappings, standards and support information.
Support knowledge transfer and capability development across our internal Technology teams.
Help shape the priorities and ongoing evolution of our data platform roadmap.
About You
You’ll bring significant experience designing and building modern, cloud-based data platforms, combined with strong hands-on engineering capability.
Significant experience designing and building modern cloud-based data platforms.
Strong hands-on experience with Google Cloud Platform, particularly BigQuery and associated data services.
Proven experience designing, developing and supporting enterprise data pipelines using ETL and ELT techniques.
Strong SQL capability and experience working with structured and semi-structured data.
Experience in data architecture, data modelling, integration architecture and data warehousing.
Experience integrating data from multiple enterprise and third-party source systems.
Experience implementing data quality controls, lineage, metadata and governance requirements within technical solutions.
The ability to take incomplete or inconsistent information and turn it into clear technical designs and delivery priorities.
Clear communication and stakeholder management skills, including the ability to explain technical concepts to both technical and non-technical audiences.
The ability to work independently, lead technical workstreams and deliver high-quality outputs in a changing environment.
Experience within retail, consumer, luxury, fashion, ecommerce or omnichannel environments.
Experience with dbt or comparable data transformation and orchestration tooling.
Experience supporting analytics, machine learning or artificial intelligence use cases.
Experience working with ERP, point of sale, product, inventory, pricing, customer, ecommerce or marketing platforms.
Experience working with specialist consultancies, implementation partners or managed service providers.
A relevant Google Cloud or data engineering certification.
Location
This role is based in our London office, with travel to other Mulberry offices and locations as business needs require.
From time to time, the role may also need to support planned releases or critical data platform issues outside normal working hours.
Culture:
Embrace and demonstrate the Mulberry values and behaviours: honesty, dynamism, and a community-oriented spirit.
Support Mulberry to deliver an inclusive culture, through behaving in a way that is open-minded and respectful towards others, and understanding that your views, opinions, and experiences may not always be shared by your colleagues.
Act as an ambassador for Mulberry and communicate positively about the brand.
Sustainability:
As a certified B Corp, we are committed to using business as a force for good. You’ll be encouraged to incorporate environmentally and socially responsible practices into your work, supporting our Made to Last strategy across Climate, Circularity, and Community.
Help foster a culture where diversity is celebrated and every individual feels valued, respected, and included. Champion equity, empathy, and understanding in all interactions - internally and externally.
Competitive salary
Generous staff discount and access to staff sales
Your birthday off
Pension contributions and life assurance
Learning and development opportunities
Two paid volunteering days per year
Access to Help@Hand wellbeing support, including remote GP appointments, mental health support, physiotherapy, personal training and retail discounts
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Mulberry is an equal opportunities employer and we are passionate about hiring and developing the best talent. All hiring decisions are made only on the basis of qualifications, skills or experience and as they relate to the particular role. If you need us to make any adjustments to our application or interview processes to enable you to be at your best, please email us at .
Details
| Company | Mulberry |
| Location | London, England, United Kingdom |
| Type | FULL TIME |
| Niche | tech |