As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.
We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in.
With millions of weekly active users, we strive to be the best in industry for our users.
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
Benefits
Quarterly bonuses
We have core hours of 10am-3pm in a local timezone, but flexible hours outside of this
Top-of-the-line equipment
Referral bonuses
28 days paid annual leave
Annual company retreat
Highly talented, dependable co-workers in a global, multicultural organisation
Payment via DEEL, a world class online wallet system
Our teams are small enough for you to be impactful
Our business is globally established and successful, offering stability and security to our Team Members
Our Mission
Our mission is to be an everyday entertainment platform for everyone
Our Operating Principles
1. Create Value for Users
2. Act in the Long-Term Interests of Sporty
3. Focus on Product Improvements & Innovation
4. Be Responsible
5. Preserve Integrity & Honesty
6. Respect Confidentiality & Privacy
7. Ensure Stability, Security & Scalability
8. Work Hard with Passion & Pride
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).
Post Interview Process
Feedback call on successful interview
Offer released followed by contract
ID Check Via Zinc & 2 references from previous employers
Working at Sporty
The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way.
Generally employees can choose their own hours, as long as they are collaborating and doing stand-ups etc. The emphasis is really on results.
As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don’t have arbitrary shareholder or VC targets to cater to.
We literally build, spend and make decisions based on the ethos of building THE best platform of its kind. We are truly a tech company to the core and take excellent care of our Team Members.
Top Skills
Apache Airflow
Spark
Aws Athena
Aws Ec2
Aws Eks
Aws Emr
Aws Lambda
Aws Rds
Aws Redshift
Aws S3
Python
SQL
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