Remote EU DBA

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 inAs 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.ResponsibilitiesDesign, 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 dayEnsure all data provided is of the highest quality, accuracy, and consistencyIdentify, design, and implement internal process improvements for optimising data delivery and re-designing infrastructure for greater scalabilityBuilds out new API integrations to support continuing increases in data volume and complexityCommunicate with data scientist, MLOps engineers, product owners and BI analysts in order to understand business processes and system architecture for specific product featuresRequirementsBachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics, or a related technical field3+ years of experience in data engineering, data platforms, BI or related domainExperience in successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projectsExperience with large-scale production relational and NoSQL databasesExperience with data modellingGeneral understanding of data architectures and event-driven architecturesProficient in SQLFamiliarity with one scripting language, preferably PythonExperience with Apache Airflow & Apache SparkSolid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR (Elastic MapReduce), EKS, RDS (Relational Database Services) and LambdaNice to have:Understanding of ML ModelsUnderstanding of containerisation and orchestration technologies like Docker/KubernetesRelevant knowledge or experience in the gaming industryBenefitsQuarterly and flash bonusesWe have core hours of 10am-3pm in a local timezone, but flexible hours outside of thisEducation allowanceReferral bonuses28 days paid annual leave2 x annual company retreats (Lisbon + Dubai in 2022 / Phuket in Q2 2023 + 1 more TBC!)Highly talented, dependable co-workers in a global, multicultural organisationPayment via world class online wallet system DEELTop of the line equipment supplied by market leader HofyWe score 100% on The Joel TestOur teams are small enough for you to be impactfulOur business is globally established and successful, offering stability and security to our Team MembersInterview ProcessHackerRank Test Remote video screening with our Talent Acquisition Team + live ID checkRemote 90 min video interview loop with 3 x Team Members (30 mins each)Pre offer call with Talent Acquisition TeamID check via Zinc24-72 hour feedback loops throughout process