Data Engineer

WGSN; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer and play a vital role in shaping the future of data analytics. This dynamic position involves developing robust ETL processes, managing databases, and collaborating with cross-functional teams to drive business impact. You'll be part of a diverse team that values creativity and technical excellence, working on innovative data solutions that empower clients to make informed decisions. With a commitment to continuous learning and development, this role offers a unique opportunity to grow your skills in a supportive environment focused on sustainability and inclusivity.

Benefits

25 days of holiday

Pension and Life Assurance

Private Medical and Dental Insurance

Flexible working options

Learning and development opportunities

Qualifications

• 3-5 years of experience in data engineering with scalable data pipelines.
• Proficient in SQL and various database technologies.

Responsibilities

• Develop and implement ETL processes for seamless data flow.
• Manage databases ensuring integrity and security.

Skills

Data Engineering

ETL Processes

SQL

Apache Spark

Cloud Infrastructure

Data Governance

Python

Agile Methodologies

Education

Degree in Computer Science

Equivalent Experience

Tools

Snowflake

BigQuery

PostgreSQL

MySQL

MongoDB

Kafka

Hadoop

Git

Docker

Jira

Job description

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 are a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants, and 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 include 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 manage and improve the company's data ingestion, transformation, and analytical needs, directly supporting Data Science and Analytics functions. This role involves building and scaling data streams to support WGSN’s data products and services. Creativity and curiosity are essential in developing new problem-solving approaches.

The team
You’ll join a diverse team of engineers and scientists within the wider decision science function. We value collaboration, continuous learning, and building solutions that drive business impact. Whether testing machine learning models or designing data pipelines, we prioritize creativity, technical excellence, and turning data into insight.

Key Accountabilities

1. ETL Development
   Develop and implement robust ETL processes to ensure seamless data flow from sources to repositories. Optimize pipelines for performance and reliability. Collaborate with data scientists, analysts, and stakeholders to design solutions.
2. Database Management
   Manage and administer databases, ensuring data integrity, security, and availability. Perform database tuning and optimization.
3. Data Quality and Governance
   Implement data alerting, testing, and quality checks, adhering to governance policies.
4. Collaboration and Communication
   Work with cross-functional teams to understand data needs and communicate technical concepts effectively to non-technical stakeholders.
5. New tools and technologies
   Stay updated on emerging data engineering and science technologies. Evaluate and productionise AI developments to enhance workflows.

This list is not exhaustive; other activities may be required.

Skills, Experience & Qualifications Required

1. Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
2. 3–5 years of data engineering experience with scalable data pipelines and ETL processes.
3. Proficiency in SQL and experience with relational and non-relational databases (e.g., Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB).
4. Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop.
5. Proficient in at least one programming language (e.g., Python, Scala, Java, R).
6. Experience deploying and maintaining cloud infrastructure (e.g., AWS, GCP, Azure).
7. Knowledge of data modeling, warehousing, and dimensional modeling; familiarity with dbt is a plus.
8. Comfortable with CI/CD tools, version control, and containers (e.g., Git, Jenkins, Docker).
9. Understanding of data governance, security, and compliance frameworks like GDPR or HIPAA.
10. Familiarity with project management tools and Agile methodologies (e.g., Jira, Asana). Ability to craft KPIs for data projects.

What We Offer
Our benefits and wellbeing package includes flexible options such as:

• 25 days of holiday per year, with options to buy or sell up to 5 days
• Pension, Life Assurance, Income Protection, Private Medical, Dental Insurance, Critical Illness
• Employee assistance, season ticket loans, cycle to work scheme
• Volunteering and charitable giving opportunities
• Learning and development opportunities

More About WGSN
WGSN is the global authority on consumer trend forecasting. We help brands create the right products at the right time for tomorrow’s consumer.

Our values

• We Are Everywhere: The future happens everywhere. We track and analyze consumer behaviors, product innovation, design, and creativity worldwide.
• We Are Future Focused: We use global resources and data to produce forecasts, working with clients to create a successful, positive tomorrow.
• We Are Rigorous: We source, review, and assess data to produce credible, actionable forecasts and insights.

Our culture

We prioritize an inclusive environment where everyone can thrive. We support diversity, reflect our global audience, and are committed to sustainability, aiming for net zero by 2030. Recognizing performance through awards and offering flexible, hybrid work arrangements are key parts of our culture. We also support reasonable adjustments during the recruitment process.