Sporty Group
London
501-1,000 employees
Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform
Data Engineer
Data Engineer
Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in
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 optimizing 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 one or more MLOps frameworks (Kubeflow, Apache Airflow, Argo Workflow, MLFlow, etc.).
- 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
- Apache Spark.
- Understanding of containerization and orchestration technologies like Docker/Kubernetes.
- Relevant knowledge or experience in the gaming industry
Benefits
Quarterly and flash bonuses
Flexible working hours
Education allowance
Referral bonuses
28 days paid annual leave
2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)
Highly talented, dependable co-workers in a global, multicultural organisation
Payment via world class online wallet system DEEL
Top of the line equipment supplied by market leader Hofy
We score 100% on The Joel Test
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
HackerRank Test
Remote video screening with our Talent Acquisition Team + live ID check
Remote 90 min video interview loop with 3 x Team Members (30 mins each)
Pre offer call with Talent Acquisition Team
ID check via Zinc
24-72 hour feedback loops throughout process
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.