The role

We are looking for a Data Engineer to join the Data Science & Engineering team in London.

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.

Role overview

As a Data Engineer, you will be responsible for managing and improving the company's data ingestion, transformation, and analytical needs, directly supporting Data Science and Analytics functions. This role is essential in building and scaling new and existing data streams to support WGSN’s growing set of data products and services. Despite a core set of responsibilities, this role requires an element of creativity and curiosity in developing new approaches to solve problems.

The team

You’ll be joining a dynamic and diverse team of engineers and scientists within the wider decision science function. We thrive on collaboration, continuous learning, and building intelligent solutions that drive meaningful business impact. Whether it's testing new machine learning models or designing robust data pipelines, our team values creativity, technical excellence, and a shared passion for turning data into insight.

Key accountabilities

ETL Development
Develop and implement robust Extract, Transform, Load (ETL) processes to ensure the seamless flow of data from source systems to data repositories.
Optimise and streamline data pipelines for maximum performance and reliability.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and be creative in designing appropriate solutions.
Database Management
Manage and administer databases, ensuring data integrity, security, and availability.
Perform database tuning and optimisation for improved query performance.
Data Quality and Governance
Implement data alerting, testing, and quality checks, ensuring adherence to governance policies.
Collaboration and Communication
Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data needs and deliver effective solutions.
Clearly communicate technical concepts to non-technical stakeholders.
New tools and technologies
Stay abreast of emerging technologies and trends in data engineering and data science
Proactively evaluate and productionise new developments in AI that can enhance the data science and engineering workflow
This list is not exhaustive and there may be other activities you are required to deliver.

Skills, experience & qualifications required

Degree in Computer Science, Engineering, Mathematics, or equivalent experience
3–5 years of data engineering experience, with a proven track record of designing, building, and maintaining scalable data pipelines and ETL processes
Proficiency in SQL and experience working with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB)
Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop
Proficient in at least one programming language (e.g. Python, Scala, Java, R)
Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure)
Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable
Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker)
Understanding of data governance, security best practices, and compliance frameworks such as GDPR or HIPAA
Familiarity with project management tools and Agile ways of working (e.g. Jira, Asana). Can craft KPIs to measure the impact of data-driven projects and initiatives

What we offer

Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including:

- 25 days of holiday per year - with an option to buy/ sell up to 5 days

- Pension, Life Assurance and Income Protection Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness

- Employee assistance programme, season ticket loans and cycle to work scheme

- Volunteering opportunities and charitable giving options

- Great learning and development opportunities.

More about WGSN

WGSN is the global authority on consumer trend forecasting.

We help brands around the world create the right products at the right time for tomorrow’s consumer.

Our values

We Are Everywhere

The future is everything, it happens everywhere. WGSN is the world-leading forecaster because we track and analyse consumer behaviours, product innovation, design and creativity, everywhere.

We Are Future Focused

We utilise our global resources and intelligence to research, source and analyse quantitative and qualitative data to produce our forecasts. Everything we do is focused on working with our customers to create a successful and positive tomorrow.

We Are Rigorous

We source, review and assess quantitative and qualitative data to produce robust, actionable forecasts. To provide credible insights and design solutions for our clients, it is essential that rigour runs through everything we do.

Our culture

An inclusive culture is one of our key priorities. We want our people to truly be themselves and thrive. We love having a diverse team of people who bring new ideas, different strengths and perspectives & reflect the global audience we work with.

Inclusive workforce

We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030.

Recognising great performance is a key part of our culture. Our Awards schemes recognise and reward the brilliant achievements of our people.

We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements. Conversations about flexible working have always been—and will continue to be—actively encouraged here, but we do not offer full remote working.

We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know so that we can do our best to support you.

A Note for Recruiters

Thank you so much for your interest in working with us at WGSN! Our internal Talent Acquisition team takes care of all our recruitment efforts. When we need some extra help, we partner with agencies on our Preferred Supplier List (PSL) that truly understand our business, culture and ways of working together. Since we focus on these established partnerships, we’re unable to respond to unsolicited contacts or CVs from outside our PSL. But don’t worry! If we decide to explore new partnerships, we’ll be sure to reach out.

WGSN

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