As a Data Engineer, you'll be at the heart of building and optimizing our client's data infrastructure. You'll be working on a hugely complex and ambitious project which is the clients number one priority for 2026.

You'll be responsible for:

Designing, building, and maintaining robust ETL/ELT pipelines and batch/streaming workflows.
Integrating data from various sources, including external APIs and internal systems, into Snowflake and other downstream tools.
Utilizing web scraping and browser automation techniques to extract data from platforms lacking traditional API access.
Taking ownership of critical components within the Airflow-based orchestration layer and Kafka-based event streams.
Ensuring the highest levels of data quality, reliability, and observability across all data pipelines and platforms.
Developing shared data tools and frameworks to empower analytics and reporting initiatives.
Collaborating closely with analysts, product managers, and engineers to enable data-driven decision-making throughout the organization.

About You

We are looking for three people, one senior and 2 less senior engineers. All will be at Individual contributor level.

3+ years of experience as a Data Engineer or Software Engineer specializing in data infrastructure.
Expertise in Python, with proven experience in pulling and managing data from APIs.
Strong SQL skills and hands-on experience with Snowflake.
Experience with modern orchestration tools such as Airflow.
A solid understanding of data modeling, governance, and performance tuning within warehouse environments.
Proficiency in web scraping via browser automation tools (e.g., Playwright, Selenium, Puppeteer) is a plus.
Ability to work independently, prioritize effectively, and manage multiple stakeholders.
Comfortable operating within a cloud-native environment (e.g., AWS, Terraform, Docker).

The Company

Our client is a dynamic and innovative organization working in the affiliate marketing realm, they work with a huge variety of clients across multiple industries creating content and introductions.

Why You Should Do This Job

Be part of a talented team and contribute to impactful projects.
Work with cutting-edge technologies in a fast-paced environment.
Opportunity to make a significant impact on the organization's data capabilities.
Gain valuable experience in a modern data stack.
Possibility of extension based on project needs.

Location

Remote (UK Based)

Duration

6 months possible extension

The Money

£475- £600 + per day (Dependent on experience, some flex for the right person) OUTSIDE IR35

What You Should Do Now

If you are a Data Engineer and would like to apply, click the link and send us your resume.