Senior Data Engineer (Scalable Data Platform & Analytics)

Burns Sheehan • United Kingdom

Remote

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AI Summary

Join a high-growth tech scale-up in online gaming/entertainment to design, build, and scale a robust data platform. Own end-to-end data pipelines, optimize data models, and collaborate with cross-functional teams to drive commercial and product decisions. Requires strong Python/SQL expertise, Snowflake/dbt/AWS proficiency, and a track record in scalable data engineering.

Key Highlights

Ownership of scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS

End-to-end responsibility for data ingestion, transformation, and analytics

Collaborate with Product, Engineering, and Analytics teams to solve complex data challenges

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Key Responsibilities

Design and build scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS

Take end-to-end ownership of data engineering projects from ingestion to analytics

Develop and optimize data models to support business and product decision-making

Improve data quality, monitoring, alerting, and testing across the platform

Build staging/testing environments and contribute to CDC and lower-latency data initiatives

Collaborate closely with Product, Engineering, and Analytics teams to solve complex data challenges

Technical Skills Required

Python SQL Snowflake

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Benefits & Perks

Fully remote UK working with flexible arrangements and home office support

Private healthcare with zero excess (including optical and optional dental)

Income protection, 25-30 days annual leave, nursery salary sacrifice, tech/holiday salary sacrifice, retail discounts, and quarterly team socials

Job Description

Senior Data Engineer | £85,000 - £100,000 | Fully Remote (UK) | High-Growth Tech Scale-Up 🚀

Here at Burns Sheehan, we're working with a fast-growing, product-led technology business operating in the online gaming and entertainment space, as they look to hire a Senior Data Engineer to help scale their data platform.

Having experienced significant growth, the business is continuing to invest in its technology and engineering capabilities, with Data playing an increasingly important role in supporting product development, analytics and commercial decision-making.

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