Data Engineer(ONLY Poland) in NeoGames

NeoGames isaleader inthe iLottery and iGaming space offering solutions spanning game studios, game aggregation, lotteries, online casino, sportsbook, bingo, and managed services offered through anindustry leading core platform.The Data &BI team owns the group’s Data &Analytics platforms spanning Data Engineering,Analytical Engineering and Business Intelligence tolead the group’s data-driven modernisation both internally and for its clients.The Data Engineer will play avital role aspart ofacross-functional team todevelop data pipelines toingest, transform, distribute and expose data from the group’s Core Data Lake for integration, reporting, analytics, and automations.The chosen candidate needs tobepassionate about building scalable data models and architecture for consumption byother teams with the aim ofmaking iteasy for BI, Analytics, Product and other data consumers tobuild data-driven solutions, features and insights.Responsibilities• Create data pipelines— both asbatch and inreal-time— toingest data from dissimilar sources• Collaborate with the other teams toaddress data sourcing and provision requirements• Design and monitor robust, recoverable data pipelines following best practices with aneye out for performance, reliability, and monitoring• Innovation drivesus— carry out research and development and work onPoCs topropose, trial and adopt new processes and technologies• Coordinate with the Product &Technology teams toensure all platforms collect and provide appropriate data• Liaise with the other teams toensure reporting and analytics needs can beaddressed bythe central data lake• Support the Data Quality and Security initiatives bybuilding into the architecture the necessary data access, integrity, and accuracy controlsRequirements• 3+years ofexperience inData Engineering• Degree inComputer Science, Software Development orEngineering• Proficient inPython. Past exposure toJava will beconsidered anasset• Understanding ofRDMS, Columnar and NoSQL engines &their performance• Experience with cloud architecture and tools: Microsoft Azure, Amazon orGCP• Experience with orchestration tools such asApache AirFlow, dbt• Prior exposure tothe Snowflake ecosystem will beconsidered anasset• Familiarity with Docker/Kubernetes and containerisation• Strong background instream data processing technologies such asNiFi, Kinesis, Kafka• Agrasp ofDevOps concepts and tools including Terraform and Ansible are anadvantage• Understanding ofdistributed logging platforms— ideally the ELK stackSkills• Fluency inspoken and written English isessential• Passionate about data and onthe lookout for opportunities tooptimise• Passionate about technology and eager totrial and recommend new tools orplatformsWeoffer:• High-level compensation and regular performance based salary and career development reviews• Possibility towork inabig and successful company• PEaccounting and support• Medical insurance (health), employee assistance program• Paid vacation, holidays and sick leaves• Sport compensation• English classes with native speakers, training, conferences participation• Referral program•Team buildings, corporate events