Senior Data Engineer

Senior Data Engineer

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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Tripledot

At a Glance

  • Tasks: Design and maintain data pipelines to support AI/ML initiatives in gaming.
  • Company: Join Tripledot, a leading mobile games company with a vibrant culture.
  • Benefits: Enjoy 25 days holiday, hybrid working, free daily lunch, and more perks.
  • Why this job: Make an impact in gaming by leveraging AI to enhance player experiences.
  • Qualifications: 4+ years as a Data Engineer with strong SQL and Python skills.
  • Other info: Collaborative environment with opportunities for professional growth.

The predicted salary is between 48000 - 72000 £ per year.

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

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.

The role is working within our AI group. The AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams.

Responsibilities

  • 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 engineers, 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/ML-enabled company.
  • You’ll be reporting to the Director of AI Engineering.
  • 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 are LTV predictions and building the foundations of the data platform that will support it, with work continuing on helping integrate central AI/ML solutions into Tripledot games.

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 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.

Qualifications

  • 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 fully remote working: Work from anywhere in the world, in addition to hybrid policy, 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.
  • Family Forming Support.
  • Life Assurance & Group Income Cover.
  • Continuous Professional Development.
  • Private Medical Cover & Health Cash Plan.
  • Dental Cover.
  • Cycle to Work Scheme.
  • Pension Plan.

Senior Data Engineer employer: Tripledot

Tripledot is an exceptional employer, offering a vibrant work culture that thrives on creativity and collaboration within the gaming industry. With a commitment to employee growth through continuous professional development and a generous benefits package, including hybrid working options and daily free lunches, Tripledot fosters an environment where passionate individuals can excel and contribute to innovative AI/ML initiatives that enhance player experiences. Located in London, employees enjoy the dynamic atmosphere of a leading mobile games company while being part of a global team dedicated to making games that people love.
Tripledot

Contact Detail:

Tripledot Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the gaming and data engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those related to gaming or AI/ML. This could be anything from GitHub repos to case studies. When you apply through our website, include links to your work to stand out from the crowd.

✨Tip Number 3

Prepare for the interview like it’s game day! Research Tripledot and its games, understand their data needs, and think about how your experience aligns with their goals. Practice common data engineering questions and be ready to discuss your past projects in detail.

✨Tip Number 4

Follow up after your interview! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your enthusiasm and fit for the role. And remember, applying through our website gives you a better chance to be noticed!

We think you need these skills to ace Senior Data Engineer

Data Pipeline Design
ETL/ELT Workflows
SQL
Python
Data Pipeline Orchestration (e.g., Airflow, Prefect, Dagster)
Big Data Technologies (e.g., Spark, Kafka, Flink)
Cloud Infrastructure (AWS, GCP)
Containerization (Docker, Kubernetes)
Data Modelling
Machine Learning Workflows
Real-time Data Processing
Data Quality and Governance
Collaboration and Communication Skills
Product-Focused Approach

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant gaming or AI projects. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for gaming and AI, and explain why you want to join Tripledot. Be genuine and let us know what excites you about the role and our company.

Showcase Your Projects: If you've worked on any cool projects related to data engineering or AI, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen to be part of our team!

How to prepare for a job interview at Tripledot

✨Know Your Data Engineering Stuff

Make sure you brush up on your data engineering skills, especially in SQL and Python. Be ready to discuss your experience with data pipeline orchestration tools like Airflow or Prefect, as well as any big data technologies you've used. They’ll want to see that you can design and maintain scalable data pipelines.

✨Show Your Passion for Gaming

Tripledot is all about creating amazing gaming experiences, so don’t shy away from expressing your love for games. Share any relevant projects or experiences where you’ve used data to enhance player experiences. This will show them you’re not just a techie, but someone who genuinely cares about the gaming world.

✨Prepare for Collaboration Questions

Since you'll be working closely with various teams, be prepared to discuss how you collaborate with data scientists, ML engineers, and game developers. Think of examples where you’ve successfully worked in a team to solve problems or deliver projects, highlighting your communication skills and collaborative mindset.

✨Understand Their AI/ML Goals

Familiarise yourself with Tripledot's ambitions around AI and machine learning. Be ready to discuss how your skills can contribute to their goals, such as LTV predictions and integrating AI solutions into games. Showing that you understand their vision will set you apart from other candidates.

Senior Data Engineer
Tripledot
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