Lead Data Engineer – Hybrid Data Platform

PlayStation

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

8 days ago

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Job summary

Sony Interactive Entertainment is seeking a Lead Data Engineer to join the PlayStation data platform. You will own portions of high-volume data pipelines, scale the platform, and help define the technical direction for analytics across PlayStation games.

You will collaborate with game analytics analysts and engineers, integrate data collection with BI tools, and drive improvements in data quality, observability, and tooling within a flexible hybrid setup.

Qualifications

  • Experience building data pipelines for high-throughput streaming and batch data.
  • Proficient in Go or Python with willingness to learn Go.
  • Proven ability to build robust, scalable services.
  • Able to demonstrate measurable impact in prior roles.
  • Strong problem-solving skills in data quality and remediation.
  • Experience with AWS data services (S3, Redshift, Kinesis, Glue, Athena).

Responsibilities

  • Own parts of the data pipeline and drive improvements.
  • Build supporting services for the pipeline (e.g., in-game maps, video tooling integrations).
  • Integrate data collection with BI tools to enable studio self-service.
  • Collaborate with DevOps, analytics engineers, and stakeholders.
  • Improve data quality, lineage, and observability.
  • Support existing tooling with quality and documentation.
  • Share knowledge as a technical expert.

Skills

Data pipelines
Go or Python
Scalable services
Measurable impact
Data quality
AWS data services

Tools

Looker
Tableau
GitHub Actions

Job description

Sony Interactive Entertainment is seeking a Lead Data Engineer to join the PlayStation data platform. You will own portions of high-volume data pipelines, scale the platform, and help define the technical direction for analytics across PlayStation games.

You will collaborate with game analytics analysts and engineers, integrate data collection with BI tools, and drive improvements in data quality, observability, and tooling within a flexible hybrid setup.

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