Platform Data Engineer — Scalable Pipelines & Data Quality

Rocketsciencegg

Cardiff

Hybrid

GBP 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Private Pension via Salary Sacrifice
Private Medical, Dental, and Vision
Annual Leave and Bank Holidays
Annual Research Credit
Professional Development
Work-Life Balance (flexible hours)
6 weeks Family Leave
Weekly Team Lunches
Snacks and Lounge
Creative, supportive environment

Job summary

Rocket Science in Cardiff is seeking a Data Platform Engineer to design, build, and enhance reliable data systems for games and partners. You will own data pipelines, modelling, quality, and observability while adapting to adjacent areas like backend services and cloud infra.

You will engage with stakeholders, define requirements, and make pragmatic trade-offs to deliver scalable data solutions with a strong focus on data trust and impact across teams.

Qualifications

  • Strong data engineering depth with pipelines, modelling, quality and observability.
  • Ability to work across analytics platforms and backend services when needed.

Responsibilities

  • Design, build, and operate scalable data platforms and pipelines for games and partners.
  • Collaborate with stakeholders to clarify requirements and plan delivery.
  • Improve data quality, observability, and data trust for technical and non-technical users.

Skills

Languages: Python, SQL, C#, Golang, JS
Data Platforms: BigQuery, Snowflake, R
Data Tooling: Airflow, dbt, Spark
Infrastructure: AWS, Docker, Terraform
CI/CD: GitHub Actions, Jenkins

Tools

PostgreSQL
MongoDB
Kubernetes

Job description

Rocket Science in Cardiff is seeking a Data Platform Engineer to design, build, and enhance reliable data systems for games and partners. You will own data pipelines, modelling, quality, and observability while adapting to adjacent areas like backend services and cloud infra.

You will engage with stakeholders, define requirements, and make pragmatic trade-offs to deliver scalable data solutions with a strong focus on data trust and impact across teams.

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