Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 54.
From 8,108 similar postings that came down. Coming down is not always a hire.
Director of Data Engineering
Reads like a Data Leadership role: running a data team.
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Permanent — employment source
Employment type Permanent
Employment type in the employer’s posting: Permanent
From the employer’s posting
What you’ll work on
Full postingWe're hiring a Director of Data Engineering to own WGSN's data platform: its architecture, its data models and how it runs day to day.
At the heart of the role is the trend spine, the connected backbone that links trend signals, taxonomies, forecasts and content.
Own data architecture and modelling across the WGSN platform
Design and build the trend spine linking signals, taxonomies, forecasts and content
Integrate structured, semi-structured and unstructured data
Lead and set standards for five engineers plus agency and contractor partners
Shape the planned platform rebuild, including stack, cost and vendor decisions
From the employer’s posting
We're hiring a Director of Data Engineering to own WGSN's data platform: its architecture, its data models and how it runs day to day. You'll report to our Group Chief Data Officer, lead a team of five data engineers, and work closely with our Group Technology, Data Science and programme teams.
At the heart of the role is the trend spine, the connected backbone that links trend signals, taxonomies, forecasts and content. Next year we launch an expanded social data product across TikTok, Reddit and Instagram, and after that we plan to rebuild the platform. You'll lead both, and lay the data foundations for the AI products that will sit on top.
Own data architecture and modelling across the WGSN platform
Design and build the trend spine
Integrate structured, semi-structured and unstructured data, from social and search signals to runway imagery and proprietary research
Lead, develop and set standards for a team of five engineers, plus agency and contractor partners
Shape the planned platform rebuild, including stack, cost and vendor decisions
What you’ll bring
All qualificationsCore experience
- Around 10+ years in data engineering
- At least four years leading engineers
- Experience designing or substantially reshaping a data platform
- Hands-on experience with semi-structured and unstructured data alongside structured data
- Practical track record of using AI to change how your team builds
Qualification wording
Around 10 or more years in data engineering
with at least four years leading engineers
Experience designing or substantially reshaping a data platform
Hands-on experience with semi-structured and unstructured data alongside structured data
A practical track record of using AI to change how your team builds
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 20265 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 6, 2026
- Employer says posted
- Oct 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Wgsn is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Databricks
- Snowflake
Where the posting names them
Nice to Have - Snowflake, Databricks and AWS - Embeddings, vector search, feature stores or knowledge graphs
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Working at WGSN
Together, we create tomorrow
A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow.
WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you.
About the Role
We're hiring a Director of Data Engineering to own WGSN's data platform: its architecture, its data models and how it runs day to day. You'll report to our Group Chief Data Officer, lead a team of five data engineers, and work closely with our Group Technology, Data Science and programme teams.
At the heart of the role is the trend spine, the connected backbone that links trend signals, taxonomies, forecasts and content. Next year we launch an expanded social data product across TikTok, Reddit and Instagram, and after that we plan to rebuild the platform. You'll lead both, and lay the data foundations for the AI products that will sit on top.
What You'll Do
- Own data architecture and modelling across the WGSN platform
- Design and build the trend spine
- Integrate structured, semi-structured and unstructured data, from social and search signals to runway imagery and proprietary research
- Lead, develop and set standards for a team of five engineers, plus agency and contractor partners
- Lead architecture discussions with our Group Technology team
- Shape the planned platform rebuild, including stack, cost and vendor decisions
- Introduce AI-assisted and agentic engineering practices and build AI-ready data foundations
- Make sure the platform is reliable, well governed, GDPR compliant and cost effective
What We're Looking For
- Experience designing or substantially reshaping a data platform, with clear ownership of architecture and modelling decisions
- The technical depth and confidence to lead engineering and architecture conversations with senior technologists
- Data engineering leadership at a small to mid-size business, or at manager level in a larger organisation with real design ownership
- Hands-on experience with semi-structured and unstructured data alongside structured data
- A practical track record of using AI to change how your team builds
Nice to Have
- Snowflake, Databricks and AWS
- Embeddings, vector search, feature stores or knowledge graphs
- Taxonomy or ontology design
- Social, web-scale or licensed third-party data
- A background in media, information services, SaaS or e-commerce
Experience
Around 10 or more years in data engineering, with at least four years leading engineers.
Employment type
Permanent
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, UK
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.