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Machine Learning Data Engineer

Epic Games

London

On-site

GBP 40,000 - 80,000

Full time

Yesterday
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Job summary

Join a forward-thinking company that values innovation and creativity in the gaming industry. In this role, you will design and maintain robust data infrastructure, ensuring the reliability of systems used by our Machine Learning team. You'll collaborate with engineers and data scientists to implement scalable data services while managing AWS infrastructure. This opportunity allows you to work on large-scale data challenges, contributing to the development of cutting-edge technology that enhances user experiences. If you're passionate about data and technology, this is your chance to make a significant impact in a dynamic environment.

Benefits

100% paid benefits
Pension plan
Private medical insurance
Health care cash plan
Dental insurance
Disability and life insurance
Cycle to work scheme
Flu shots
Health checks
Meals provided

Qualifications

  • Strong analytical background with a degree in Computer Science or extensive hands-on experience.
  • Experience in ETL design, data warehousing, and data modeling.

Responsibilities

  • Design and maintain data infrastructure for Machine Learning applications.
  • Create and manage ETL processes and data pipelines.

Skills

Analytical Skills
ETL Design
Data Quality Testing
Data Warehousing
Data Modeling
Python
SQL
Database Management
Data Versioning

Education

BSc in Computer Science
MSc in Software Engineering

Tools

AWS
Snowflake
Apache Airflow
Elasticsearch
MongoDB
PostgreSQL

Job description

WHAT MAKES US EPIC?

At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development.

DATA ENGINEERING
What We Do

Our mission is to provide a world-class platform that empowers the business to leverage data that will enhance, monitor, and support our products. We are responsible for data ingestion systems, processing pipelines, and various data stores all operating in the cloud. We operate at a petabyte scale, and support near real-time use cases as well as more traditional batch approaches.

What You'll Do

You will be responsible for designing, building, and maintaining our data infrastructure to ensure the reliability and efficiency of our data and systems used by our Machine Learning team. Your role will include creating and maintaining data pipelines that transform and load data from various products and managing the AWS infrastructure for our machine learning platform. Additionally, you will work with engineers, product managers, and data scientists to design and implement robust and scalable data services that support Epic's mission while ensuring our user's privacy.

In this role, you will
  1. Interact with product teams to understand how our safety systems interact with their data systems.
  2. Design and implement an automated end-to-end ETL process, including data anonymization, to prepare data for machine learning and ad hoc analysis.
  3. Manage and scale the tools and technologies we use to label data running on AWS.
  4. Devise database structure and technology for storing and efficiently accessing large data sets (millions of records) of different types (text, images, videos, etc.).
  5. Use and implement data extraction APIs.
  6. Write and invoke custom SQL procedures.
  7. Support data versioning strategies using automated tools.
What we're looking for
  1. Strong analytical background: BSc or MSc in Computer Science/Software Engineering or related subject - candidates without a degree are welcome as long as they have extensive hands-on experience.
  2. Experience in ETL technical design, automated data quality testing, QA and documentation, data warehousing, and data modeling.
  3. Experience with Python for interaction with Web Services (e.g., Rest and Postman).
  4. Experience with using and developing data APIs.
  5. Experience using AWS, Snowflake, or other comparable large-scale analytics platforms.
  6. Experience monitoring and managing databases (we use Elasticsearch / MongoDB / PostgreSQL).
  7. Experience with SQL.
  8. Experience with data versioning tools.
  9. Experience developing and maintaining data infrastructure for ETL pipelines, such as Apache Airflow.

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

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