{"id":4086302,"url":"https://alion.io/job/mulberry-data-engineer","title":"Data Engineer","company":{"id":678409,"name":"Mulberry","domain":"mulberry.com","url":"https://alion.io/company/mulberry","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T15:36:17Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T06:03:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nJoining 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.\nThis 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.\nWhat You’ll Be Doing\nData Platform Architecture\nWorking with the Head of Data, design and document our target data platform architecture in line with the Data Foundations roadmap and wider technology standards.\nDevelop engineering principles, integration patterns, data models and technical standards covering data ingestion, transformation, storage and access.\nAssess the integration of source systems, platforms and services to create a coherent and scalable data architecture.\nIdentify architectural risks, technical debt and dependencies, recommending practical solutions.\nData Engineering & Integration\nDesign, build, test and maintain robust ETL and ELT pipelines across our core business systems and third-party data sources.\nDevelop and optimise data structures, datasets and transformation processes, primarily within Google Cloud Platform (GCP) and BigQuery.\nCreate reusable integration components and engineering patterns that improve consistency and delivery.\nMake sure data pipelines are effectively monitored, documented and supported throughout their lifecycle.\nInvestigate and resolve complex data, integration and platform issues, partnering with internal teams and external specialists where needed.\nData Modelling, Quality & Governance\nDesign logical and physical data models that support trusted reporting, analytics and operational use cases.\nBuild a semantic layer to support self-service reporting tools and an MCP layer for natural language interrogation.\nImplement data quality controls, validation and monitoring to improve the accuracy, completeness and consistency of our data.\nEnable data lineage, metadata and auditability across priority data domains.\nPartner with data owners and stakeholders to establish clear definitions, ownership and appropriate access.\nEnsure solutions support data protection, retention, security and relevant regulatory requirements.\nDelivery, Collaboration & Technical Leadership\nTurn business and architectural requirements into clear technical designs and practical engineering solutions.\nBuild strong relationships across the business, Technology teams and specialist partners to understand requirements and deliver effective solutions.\nProvide technical guidance across data engineering and platform delivery, including reviewing third-party designs and code.\nProduce clear technical documentation, including architecture diagrams, data flows, mappings, standards and support information.\nSupport knowledge transfer and capability development across our internal Technology teams.\nHelp shape the priorities and ongoing evolution of our data platform roadmap.\nAbout You\nYou’ll bring significant experience designing and building modern, cloud-based data platforms, combined with strong hands-on engineering capability.\nWe’re looking for:\nSignificant experience designing and building modern cloud-based data platforms.\nStrong hands-on experience with Google Cloud Platform, particularly BigQuery and associated data services.\nProven experience designing, developing and supporting enterprise data pipelines using ETL and ELT techniques.\nStrong SQL capability and experience working with structured and semi-structured data.\nExperience in data architecture, data modelling, integration architecture and data warehousing.\nExperience integrating data from multiple enterprise and third-party source systems.\nExperience implementing data quality controls, lineage, metadata and governance requirements within technical solutions.\nThe ability to take incomplete or inconsistent information and turn it into clear technical designs and delivery priorities.\nStrong analytical, problem-solving and troubleshooting skills.\nClear communication and stakeholder management skills, including the ability to explain technical concepts to both technical and non-technical audiences.\nThe ability to work independently, lead technical workstreams and deliver high-quality outputs in a changing environment.\nIt would be great if you also have:\nExperience within retail, consumer, luxury, fashion, ecommerce or omnichannel environments.\nExperience with dbt or comparable data transformation and orchestration tooling.\nExperience supporting analytics, machine learning or artificial intelligence use cases.\nExperience working with ERP, point of sale, product, inventory, pricing, customer, ecommerce or marketing platforms.\nExperience working with specialist consultancies, implementation partners or managed service providers.\nA relevant Google Cloud or data engineering certification.\nLocation\nThis role is based in our London office, with travel to other Mulberry offices and locations as business needs require.\nFrom time to time, the role may also need to support planned releases or critical data platform issues outside normal working hours.\nCulture:\nEmbrace and demonstrate the Mulberry values and behaviours: honesty, dynamism, and a community-oriented spirit.\nSupport 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.\nAct as an ambassador for Mulberry and communicate positively about the brand.\nSustainability:\nAs 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.\nHelp 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.\nWhat we can do for you:\nAs well as the opportunity to play an important role in Mulberry’s future, you’ll have access to a range of benefits, including:\nCompetitive salary\nGenerous staff discount and access to staff sales\nYour birthday off\nPension contributions and life assurance\nLearning and development opportunities\nTwo paid volunteering days per year\nAccess to Help@Hand wellbeing support, including remote GP appointments, mental health support, physiotherapy, personal training and retail discounts","description_format":"text","description_chars":7077,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Paid volunteering days"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Apparel & Fashion Brands","Luxury Goods & Designer Brands","Bags, Luggage & Leather Goods"],"lifecycle":[{"event":"open","at":"2026-11-11T19:00:24Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":45,"reasons":["conf:0","win:early"],"computed_at":"2026-11-12T06:37:11Z"},"pay":null,"html_url":"https://alion.io/job/mulberry-data-engineer","json_url":"https://alion.io/job/mulberry-data-engineer.json","meta":{"generated_at":"2026-11-12T06:37:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13217,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":678409},"rest":"https://alion.io/mcp/rest/get_company?id=678409"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmulberry-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmulberry-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmulberry-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mulberry-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmulberry-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4086302}},{"tool":"search_jobs","arguments":{"company":"mulberry.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4086302},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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