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.

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 and flash bonuses
– We have core hours of 10am-3pm 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 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

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