Senior Data Engineer: Cloud Pipelines & BigQuery

Mulberry England; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Staff discount

Birthday off

Pension & life cover

Learning & development

Volunteering days

Wellbeing support

Job summary

Mulberry is seeking a data engineer to help build the data foundations for reporting, analytics and insight. You will design and implement scalable data pipelines and models across GCP/BigQuery, enabling trusted data for business decisions and future AI use cases.

You will work closely with Technology and business teams, shaping standards and architecture while delivering robust, well-documented data solutions in a hybrid London-based environment.

Qualifications

• Significant experience designing and building modern cloud-based data platforms.
• Strong hands-on experience with Google Cloud Platform, 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.

Responsibilities

• 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.

Skills

Cloud data platform

BigQuery

ETL/ELT pipelines

SQL

Data modelling

Data governance

Data architecture

Stakeholder management

Analytical thinking

Tools

dbt

Job description

Mulberry is seeking a data engineer to help build the data foundations for reporting, analytics and insight. You will design and implement scalable data pipelines and models across GCP/BigQuery, enabling trusted data for business decisions and future AI use cases.

You will work closely with Technology and business teams, shaping standards and architecture while delivering robust, well-documented data solutions in a hybrid London-based environment.