Senior Data Engineer - Game Data Hub & Pipelines (Hybrid)

Tripledot Studios Limited

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

25 days paid holiday
Hybrid Working: 3 office days per week
20 days remote working
Daily Free Lunch: £12 in office
Regular company events and rewards
Employee Assistance Program
Family Forming Support
Life Assurance & Group Income Cover
Continuous Professional Development
Private Medical Cover & Health Cash Pl
Dental Cover
Cycle to Work Scheme
Pension Plan

Job summary

Tripledot Studios Limited is building a central AI data hub to ingest and validate game event data from multiple studios. You will shape ingestion, metadata, and quality checks while coordinating with engineers across studios.

As you rotate into productionizing ML pipelines, you’ll monitor health, tune backfills, and ensure robust data assets. A collaborative, data-driven mindset is essential for success in this role.

Qualifications

  • Experience building and operating data pipelines.
  • Proficient with Kubernetes, Airflow, SQL and Spark.
  • Reliable, collaborative, and consistent in maintenance tasks.

Responsibilities

  • Help build the game event data hub and ingest data from multiple studios.
  • Develop and orchestrate data ingestion, preparation, quality checks and backfills.
  • Centralize dataset metadata and data quality information using OpenMetadata.
  • Improve monitoring and notifications for pipelines and data assets.
  • Coordinate changes with studio data engineers to align solutions with needs.
  • Contribute to productionizing ML pipelines and monitor/fix rotations.

Skills

Data pipelines
Kubernetes
Airflow
SQL
Spark
Data quality checks
Collaboration

Tools

OpenMetadata

Job description

Tripledot Studios Limited is building a central AI data hub to ingest and validate game event data from multiple studios. You will shape ingestion, metadata, and quality checks while coordinating with engineers across studios.

As you rotate into productionizing ML pipelines, you’ll monitor health, tune backfills, and ensure robust data assets. A collaborative, data-driven mindset is essential for success in this role.

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