Data Engineer — Data Platform

Igbaffiliate; United Kingdom; Hybrid; GBP 55,000 - 80,000; Full time

Job summary

A performance marketing and technology company in the UK is seeking an experienced Data Engineer to develop and maintain core data pipelines. You will focus on ETL/ELT design, data modeling, and performance optimization. The ideal candidate will have over 4 years of experience in data engineering, along with strong skills in Snowflake, SQL, and Python. This position offers a competitive salary and a flexible remote or hybrid working setup in a collaborative environment.

Benefits

Competitive salary

Flexible remote/hybrid setup

Collaborative team culture

Qualifications

• 4+ years in data engineering with strong Snowflake, SQL, and Python skills.
• Hands‑on experience with dbt or similar frameworks and Git‑based workflows.
• Solid understanding of data modelling, ETL pipelines, and data governance.

Responsibilities

• Build and optimise scalable ETL/ELT pipelines integrating data from multiple systems.
• Design and implement Snowflake data models (silver/gold layers).
• Ensure accuracy and consistency through validation, monitoring, and documentation.

Skills

Snowflake

SQL

Python

dbt

Git

data governance

AWS

Job description

Data Engineer — Data Platform - About Traffic Label: Traffic Label is a performance marketing and technology company with nearly two decades of experience in iGaming and digital entertainment.

We build data-driven platforms that power smarter marketing, automation, and analytics across multiple global brands.

The Role

We’re looking for an experienced Data Engineer to develop and maintain the core pipelines of our new Data Platform — processing player and marketing data across several iGaming brands. You’ll focus on ETL/ELT design, data modelling, performance optimisation, and ensuring data quality for analytics and ML teams.

Key Responsibilities

• Build and optimise scalable ETL/ELT pipelines integrating data from multiple systems.
• Design and implement Snowflake data models (silver/gold layers).
• Ensure accuracy and consistency through validation, monitoring, and documentation.
• Optimise SQL and Python processes for performance and cost efficiency.
• Collaborate with cross-functional teams to deliver trusted, high-quality data.

Skills & Experience

• 4+ years in data engineering with strong Snowflake, SQL, and Python skills.
• Hands‑on experience with dbt or similar frameworks and Git‑based workflows.
• Solid understanding of data modelling, ETL pipelines, and data governance.
• Experience with AWS (S3, Lambda) or similar cloud environments preferred.
• Knowledge of iGaming or marketing data, real‑time processing, or data quality tools is a plus.

Why Join Us

• Build a scalable Data Platform from the ground up.
• Competitive salary and flexible remote/hybrid setup.
• Collaborative and innovative team culture.

Ready to help shape the data foundation behind our global iGaming brands?

Apply now to join Traffic Label’s Data & Technology team.