Data Engineer Level 2

Overview

✨ Ready to help shape the future of data at Games Global? We’re expanding our data engineering capability and are looking for an Intermediate level Data Engineer to build the pipelines and models that power analytics, billing, experimentation, AI/ML workloads, and commercial reporting across our organisation.

If you love solving meaningful data challenges, enjoy modern cloud-native platforms, and want to work with passionate engineers across disciplines—this is the place for you.

Responsibilities

🌟 What You’ll Be Doing

As a Data Engineer (L2), you’ll design, build, and operate the data pipelines that our business relies on every day. You will work end‑to‑end across ingestion, transformation, modelling, and optimisation—contributing scalable, production‑grade solutions that are reliable, monitored, and well‑tested.

You’ll play a key role in: • Designing and developing robust ELT pipelines using SQL, Python, dbt, AWS Lambda, and modern orchestration tooling. • Building clean, reusable data models across staging, intermediate, and mart layers in Snowflake. • Onboarding and exposing new data sources to support products, features, and business initiatives. • Implementing data quality checks, validations, observability and monitoring for early issue detection. • Optimising query performance, storage usage, and Snowflake costs. • Managing schema evolution, data lineage, and documentation. • Supporting deployment, monitoring, and operational stability of data pipelines. • Collaborating with Analytics Engineers, Data Scientists, AI/ML Engineers, and Software Engineers to deliver end‑to‑end data solutions. • Using automation and AI‑assisted techniques to continuously improve the platform.

This is a hands‑on, delivery‑focused role where you’ll have meaningful ownership over the pipelines and data products you build.

Qualifications

🧰 Who are we looking for?

You’re an engineer who enjoys ownership, solves problems with curiosity, and thrives in a collaborative team. You also have: Core Requirements • 2–5 years’ experience in data engineering or a closely related field • 5 star level experience in SQL and solid Python skills • Hands‑on experience with dbt • Experience working with cloud platforms, especially AWS Lambda and Snowflake • Familiarity with building pipelines and —Terraform, CI/CD, version control • Solid Git fundamentals and experience in collaborative engineering environments • Experience with orchestration tooling (Openflow or similar) • Familiarity with analytics, experimentation, or AI/ML workloads Great to Have • Experience supporting production-scale data platforms • Exposure to legacy platforms + modernisation initiatives • Experience implementing observability or data quality frameworks Recruitment process: What to Expect • Screening interview with Talent Acquisition Specialist. • Interview with Data Infrastructure Manager. • Technical Assessment. • Culture fit interview with the hiring team.

🌟 Equal Opportunities Statement

Games Global is committed to fostering a diverse and inclusive work environment. We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and communities. We do not discriminate based on race, colour, religion, gender, sexual orientation, age, national origin, disability, neurodiversity or any other protected status. Our dedication to promoting diversity, multiculturalism, and inclusion is clearly reflected across all our teams. Join us and be a part of an organisation that is truly committed to creating a level playing field for everyone.

Kindly be aware that in order to be employed at Games Global, you need to be 18 years of age or older, in accordance with our industry requirements.