Data Engineer

VoucherCodes; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading company in the UK is seeking a Data Engineer to join their Engineering team in London. The role involves designing and operating data systems, focusing on ETL processes and data management. Ideal candidates will have strong skills in Python and SQL, with experience in AWS technologies. The company offers a culture of personal growth and flexible work options, emphasizing collaboration across teams.

Benefits

Flexible work/life balance options

Two hours weekly dedicated to personal development

Personalized development plans

Team activities and social events

Qualifications

• At least 3 years of relevant data engineering experience.
• Strong Python and SQL skills.
• Experience with AWS and columnar databases.

Responsibilities

• Implement and maintain ETL pipelines using Airflow and AWS technologies.
• Monitor and maintain data infrastructure in AWS.
• Support Business Analytics and Marketing teams.

Skills

Python

SQL

Communication

ETL/ELT

Agile

Tools

AWS

Docker

Kubernetes

Airflow

dbt

Redshift

Snowplow

Job description

Join to apply for the Data Engineer role at VoucherCodes.

Description

With over 8 million members, VoucherCodes is one of the UK’s largest money-saving websites. Partnered with big brands like ASOS, Nike, Argos, Expedia, and Pizza Express, we receive over 8 million visits per month. We are seeking a Data Engineer to join our Engineering team in London.

We design, develop, and operate all data systems across the company, including ETL processes, data warehouses, real-time click streams, and EMR to support content personalization. We aim to evolve our architecture and technology stack, primarily using Python, with some systems in PHP currently migrating to Python. Our infrastructure is managed in AWS with Kubernetes (EKS). We collaborate closely with our Platform Team to ensure best practices and standards, maintaining our own infrastructure.

The ideal candidate will have strong software development experience with Python and SQL, along with an interest in Docker, Kubernetes, Airflow, and AWS data technologies such as Athena, Redshift, and EMR. You will join a team of over 25 engineers across mobile, web, data, and platform disciplines, emphasizing attention to detail and quality in feature implementation.

Minimum Requirements:

• At least 3 years of relevant data engineering experience
• Strong Python and SQL skills
• Experience with dbt
• Experience with AWS
• Experience working with columnar databases like Redshift
• Proficiency in ETL/ELT and data pipeline management
• Familiarity with Snowplow
• Experience with data integration from diverse sources
• Good cross-team communication skills
• Knowledge of CI/CD practices, unit testing tools
• Understanding of Agile Scrum lifecycle

Responsibilities:

• Implement and maintain ETL pipelines using Airflow and AWS technologies
• Contribute to data-driven tools, including content personalization
• Manage ingestion frameworks and processes
• Monitor and maintain data infrastructure in AWS
• Support Business Analytics and Marketing teams

What We Offer:

• A culture fostering personal growth
• Two hours weekly dedicated to personal development
• Personalized development plans
• Flexible work/life balance options
• Team activities and social events

Working Pattern: Hybrid, with 1-2 days in our London office (Yeoman House, Sekforde Street, London, EC1R 0HF).

Interested? Send your CV and a 200-300 word cover letter explaining your interest in the role and VoucherCodes.