Senior Data Engineer
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.
- Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
- Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
- Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
- Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools.
- Ensure data quality, consistency, and governance across all stages of the data lifecycle.
- Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
- Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
- Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.
Required Skills, Knowledge and Expertise
- 4+ years of experience as a Data Engineer, ideally within gaming, mobile apps, or digital products.
- Hands-on experience with data pipeline orchestration (e.g., Airflow, Prefect, Dagster).
- Strong proficiency in SQL and Python.
- Experience with databases like Trino, BQ and Redshift is a plus.
- Proven track record of using big data technologies and distributed systems (e.g., Spark, Kafka, Flink) for large scale processing.
- Solid understanding of cloud infrastructure (mainly AWS, but understanding of other providers like GCP is a plus) and containerization (Docker, Kubernetes).
- Familiarity with machine learning workflows, feature stores, and model serving is a plus.
- Strong Data Modelling skills, schema evolution management and usage of open table formats, like Apache Iceberg.
- Usage of generative AI for daily tasks is a plus.
- Passion for gaming and an interest in using AI to create better player experiences.
- A collaborative mindset with strong communication skills and a product-focused approach.
Benefits
- 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year
- Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice.
- 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
- Daily Free Lunch: when in the office you get £12 every day to order from JustEat.
- Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit.
- Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
- Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
- Life Assurance & Group Income Cover: Financial protection for you and your loved ones.
- Continuous Professional Development: Propel your career with continuous opportunities for professional development.
- Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash.
- Dental Cover: Opt-in (P11d benefit).
- Cycle to Work Scheme: Salary sacrifice bike purchase scheme.
- Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.
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