Data Engineer Kensington Office, London Permanent Full-Time

Mulberry Group; Greater London; Presencial; GBP 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Staff discount

Birthday off

Pension contributions

Life assurance

Learning and development opportunities

Volunteering days

Wellbeing support

Resumo da oferta

Mulberry is seeking an experienced Data Engineer to build data foundations powering reporting, analytics and insights. You will design and implement robust data pipelines, models and integration patterns to improve data quality, accessibility and trust across the business.

In this hands-on role, you’ll work with Technology, the wider business and external partners. You’ll establish technical standards and architecture for the data platform to enable reporting, customer insights and future AI use

Qualificações

• Significant experience designing and building modern cloud-based data platforms.
• Strong hands-on experience with Google Cloud Platform, BigQuery and related data services.
• Proven experience designing, developing and supporting enterprise data pipelines using ETL/ELT.
• Strong SQL skills with structured and semi-structured data.
• Experience in data architecture, modelling, integration and warehousing.
• Experience integrating data from multiple source systems and governance needs.
• Ability to turn incomplete information into clear technical designs and priorities.

Responsabilidades

• Design data platform architecture aligned with roadmaps and standards.
• Build and maintain robust ETL/ELT pipelines across core systems and 3rd party sources.
• Develop data structures, datasets and transformations in GCP/BigQuery.
• Create reusable integration components and patterns for delivery consistency.
• Monitor, document and support data pipelines throughout their lifecycle.
• Collaborate with Technology, business teams and partners; lead workstreams.

Conhecimentos

Cloud data platforms

BigQuery

ETL/ELT pipelines

SQL proficiency

Data modelling

Data governance

Data architecture

Stakeholder management

Communication skills

Cloud services

Ferramentas

Google Cloud Platform

dbt

Descrição da oferta de emprego

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.

We’re looking for:

• 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.
• Strong analytical, problem‑solving and troubleshooting skills.
• 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.

It would be great if you also have:

• 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.

What we can do for you:

As well as the opportunity to play an important role in Mulberry’s future, you’ll have access to a range of benefits, including:

• 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

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 [e-mail].