Senior Data Engineer

About the role

Who are we?

Tripledot Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

Role Overview

Join Tripledot Studios' central AI team to help build a game event data hub, bringing together data from multiple studios. This is a new senior role, with an initial focus on data ingestion, preparation and quality: making sure the team knows the health of its data assets and can alert the right people when something fails.

You'll work primarily within the central AI team, coordinating with studio data engineers through their points of contact so that the solutions you build align with their teams' patterns. Over time, you'll rotate into other areas of the team's work, including productionizing and maintaining machine learning pipelines.

Key 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 tools such as OpenMetadata, giving the team visibility into the health of its data assets.

- Improve monitoring and notifications so teams know when pipelines or data assets need attention.

- Coordinate changes with studio data engineers to keep shared solutions aligned with their needs and patterns.

- Contribute to productionizing machine learning pipelines, monitoring them and making fixes as you rotate across the team's responsibilities.

Required Skills, Knowledge and Expertise

- Experience building and operating data pipelines, including ingestion, preparation, data quality checks, backfills and orchestration.

- Working knowledge of Kubernetes, Airflow, SQL and Spark.

- A practical approach to delivering work, with reliability and consistency in how you maintain systems and work with others.

- The ability to collaborate constructively with engineers within your team and across studios.

Nice to have

- Experience in the games industry. It's a plus, not a requirement; we can help you learn the domain if you bring the right technical knowledge.

- Experience with change data capture or streaming.

- Exposure to machine learning workflows.