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, optimizing, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

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 scientists, 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 modeling

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 containerization and orchestration technologies like Docker/Kubernetes

Relevant knowledge or experience in the gaming industry

Benefits:

Quarterly and flash bonuses

We have core hours of 10 am-3 pm in a local timezone, but flexible hours outside of this

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 organization

Payment via the 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

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 the Talent Acquisition Team

Id checked via Zinc

24-72 hour feedback loops throughout the process