With more than 25m users playing 30m matches every month FACEIT is the leading competitive gaming platform. We provide gamers the best experience possible by making sure we are always on top of our tech – and continue to deliver industry leading features to our already awesome platform! The Team: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?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. Responsibilities Create and maintain data streaming processes Create and maintain AI and ML infrastructures on GCP that our data scientists can leverage to train and host ML models Create and maintain an optimal data pipeline architecture required for optimal extraction, transformation, and loading of data from a wide variety of data sources Identify, 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. Requirements Advanced working SQL knowledge Experience working with relational and non-relational databases A deep understanding of both object oriented and scripting languages (Java, Golang, Python, etc...) Strong analytic skills related to working with unstructured datasets Experience with microservice architecture / version control (Git) / Continuous Integration Stream-processing systems for Big Data: Apache Beam, Google DataFlow Extensive work experience building and optimising 'big data' data pipelines, architectures and data sets Exposure to the following software/tools: SQL and NoSQL databases, including Postgres and MongoDB. Graph technologies, including Neo4j Data pipeline and workflow management tools: Airflow, Luigi, etc Standard data science libraries (pandas, numpy, tensorflow, pytorch). Working in an Agile environment Google Cloud services: Bigquery, Dataflow, Cloud Ai, Cloudrun, etc Bonus Skills Passionate about learning new, cutting-edge technologies and finding applicable business cases as needed; A passion for gaming Benefits Fully remote or relocation to London supported; Private Medical Insurance; Travel Insurance; Life Assurance; Income Protection; Cashback on dental care; Lunch provided daily (when you’re in the office!); Kitchen stocked with refreshments (coffee machines everywhere – our founding team is Italian after all!); Company book club, and gaming nights; Flexible working environment; Company (virtual) drinks session every Friday; Quarterly team outings; Your professional growth is important to us. We provide ongoing training opportunities; And best of all Free Premium FACEIT user account.