Data Engineer (Remote)

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Our Data team is growing! During the last year, the Data team has grown significantly and has been a key driver of our business with products like Minerva – and we still have a lot more to do!We’re on the lookout for a Data Engineer who loves working with the latest technologies and has a passion for programming and maths! Could this be you?About us:At FACEIT we work to provide gamers worldwide with great competitive experiences for their favourite videogames. We develop unique products for players, partners and game developers centred around establishing and building competitive communities and ecosystems for multiplayer video games. Our online platform hosts over 30 million matches a month, and we are proud to work closely with multiple gaming publishers and developers to keep building the next generation of competitive experiences.About the job:As a Data Engineer you will build and maintain data streaming solutions and data pipelines, help implement AI and ML infrastructure and code in production to solve problems such as cheating identification, matchmaking and detection of abusive behaviour and contribute to creating a best in class data engineering function, supporting best practices for data and improving team effectiveness.ResponsibilitiesCreate and maintain data streaming processesCreate and maintain AI and ML infrastructures on GCP that our data scientists can leverage to train and host ML modelsCreate and maintain an optimal data pipeline architecture required for optimal extraction, transformation, and loading of data from a wide variety of data sourcesIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Work with data and analytics experts to strive for greater functionality in our data systems.Work closely with analysts, data scientists and technology partners to understand their engineering requirements.RequirementsAdvanced working SQL knowledgeExperience working with relational and non-relational databasesA deep understanding of both object oriented and scripting languages (Java, Golang, Python, etc...)Strong analytic skills related to working with unstructured datasetsExperience with microservice architecture / version control (Git) / Continuous IntegrationStream-processing systems for Big Data: Apache Beam, Google DataFlowExtensive work experience building and optimising ’big data’ data pipelines, architectures and data setsExposure to the following software/tools:SQL and NoSQL databases, including Postgres and MongoDB.Graph technologies, including Neo4jData pipeline and workflow management tools: Airflow, Luigi, etcStandard data science libraries (pandas, numpy, tensorflow, pytorch).Working in an Agile environmentGoogle Cloud services: Bigquery, Dataflow, Cloud Ai, Cloudrun, etcBonus SkillsPassionate about learning new, cutting-edge technologies and finding applicable business cases as needed;A passion for gamingWhat we can offerWork with the best tech available;Fully remoteCompany book club, and gaming nights;Flexible working environment;Company (virtual) drinks session every FridayMonthly massages;Quarterly team outings;Your professional growth is important to us. We provide ongoing training opportunities.