Data Engineer
GLOBAL REMOTE
Sporty – SPORTY Technical /
Full-time /
Remote
Sporty Group
Partnered with some of the World’s greatest Champions including Real Madrid FC, Michael Essien and Eder Militao, we’re on the lookout for some Champions of our own to be a part of the 'Top Ranked Fastest Growing and Most Successful Online Gaming Brand in the World'. Home to SportyBet, SportyTV, Sporty.com, Football.com and the newly launched SportyFM, we continue to lead with innovation and exclusive sports content.
Sporty is expanding and we're building the world's go to platform for everyday entertainment.
As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.
Who We Are
Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents.
The recipe for our success is to discover intelligent and energetic people, who are passionate about our products and serving our users, and attract and retain them with a dynamic and flexible work life which empowers them to create value and rewards them generously based upon their contribution.
We have already built a capable and proven team of 300+ high achievers from a diverse set of backgrounds and we are looking for more talented individuals to drive further growth and contribute to the innovation, creativity and hard work that currently serves our users further via their grit and innovation.
Responsibilities
Design, develop and maintain scalable batch ETL and near-real-time data pipelines and architectures for various parts of our business, on fast and versatile data sources with millions of changes per day
Ensure all data provided is of the highest quality, accuracy, and consistency
Identify, design, and implement internal process improvements for optimising data delivery and re-designing infrastructure for greater scalability
Builds out new API integrations to support continuing increases in data volume and complexity
Communicate with data scientist, MLOps engineers, product owners and BI analysts in order to understand business processes and system architecture for specific product features
Requirements
Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics, or a related technical field
3+ years of experience in data engineering, data platforms, BI or related domain
Experience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
Experience with large-scale production relational and NoSQL databases
Experience with data modelling
General understanding of data architectures and event-driven architectures
Proficient in SQL
Familiarity with one scripting language, preferably Python
Experience with Apache Airflow & Apache Spark
Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and Lambda
Nice to have:
Understanding of ML Models
Understanding of containerisation and orchestration technologies like Docker/Kubernetes
Relevant knowledge or experience in the gaming industry
What’s In It For You
📍 Sporty is a remote first company in pursuit of sustainability
💰 A competitive salary + individual performance based bonuses every quarter
🌴 28 days paid annual leave
⏰ Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
📝 Referral bonuses & flash bonuses
💻 Top of the line equipment
🌍 Annual company retreats to provide great internal networking opportunities
Interview Process
Remote video screening with our Talent Acquisition Team
Offline Take home assignment
Remote video interview with Team Members (60 Mins)
Final discussion with the hiring manager (60 mins)
Personalised Support
We’re committed to making our recruitment process accessible to everyone. If you need any adjustments or accommodations during the application or interview process, please let us know.
Your Move
If you're excited about this role, even if you don't meet every requirement, we'd still love to hear from you. We understand candidates may hesitate to apply if they don't meet all requirements, however your unique perspective is what helps us innovate and grow together.
If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
