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Senior AI Data Engineer
Tripledot
City Of London
In loco
GBP 60.000 - 80.000
Tempo pieno
9 giorni fa

Descrizione del lavoro

A leading mobile games company in London seeks a Senior AI Data Engineer to design and maintain data pipelines and enhance player experiences through AI. The ideal candidate has over 4 years of experience in data engineering, strong skills in SQL and Python, and a passion for gaming. Join us for a hybrid working environment with numerous benefits including paid holidays, hybrid working options, and more.

Servizi

25 days paid holiday
Hybrid Working
20 days fully remote working
Daily Free Lunch
Continuous Professional Development

Competenze

  • 4+ years of experience as a Data Engineer, ideally within gaming, mobile apps, or digital products.
  • Strong proficiency in SQL and Python.
  • Experience with OLAP Databases.

Mansioni

  • Design, build, and maintain scalable and reliable data pipelines.
  • Collaborate with data scientists and game developers to understand data needs.
  • Monitor and troubleshoot data pipelines to ensure timely delivery.

Conoscenze

SQL
Python
Data Modeling
Big Data Technologies
Collaborative Mindset

Strumenti

Airflow
GCP
AWS
Docker
Kubernetes
Descrizione del lavoro

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Senior AI Data Engineer

Department: Engineering

Employment Type: Permanent - Full Time

Location: London, UK

Description

Tripledot 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

Working within a group function that is aimed to work with all group studios. Within the group AI functions you'll be working with other AI/ ML Eng, Data engineers, analysts and product owners..

Within the various studios you will interact with data, engineering, and product teams. The group AI function's goal is to make Tripledot an AI first company. You'll be reporting into the VP of AI. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.

Progression opportunities will be within the AI group or to studios in the group. The first initiative you'll be taking part of is LTV predictions both for Ad based revenues and IAP based ones.

Key Responsibilities
  • 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 (e.g., AWS, GCP) to manage and optimize data lakes, warehouses (e.g., BigQuery, Snowflake), and orchestration tools (e.g., Airflow).
  • 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.
  • Strong proficiency in SQL and Python.
  • Experience with OLAP Databases.
  • Understanding of DBT.
  • Hands-on experience with data pipeline orchestration (e.g., Airflow, Prefect, Dagster).
  • Experience with big data technologies and distributed systems (e.g., Spark, Kafka, Flink).
  • Familiarity with machine learning workflows, feature stores, and model serving is a plus.
  • Solid understanding of cloud infrastructure (e.g., GCP, AWS) and containerization (Docker, Kubernetes).
  • Passion for gaming and an interest in using AI to create better player experiences.
  • Strong Data Modelling skills.
  • A collaborative mindset with strong communication skills and a product-focused approach.
Working at Tripledot
  • 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 fully remote working: Work from anywhere in the world, 20 days of the year.
  • Daily Free Lunch: In the office you get GBP 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
  • Private Medical Cover & Health Cash Plan
  • Dental Cover
  • Cycle to Work Scheme
  • Pension Plan
  • Indietro
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  • Avanti

* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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