Data Science Jobs in Web3

DMarket, recently acquired by Mythical Games, makes the secure purchase and trade of virtual items possible through our blockchain-enabled marketplace. Mythical Games is a Venture-backed game technology company powering the next generation of players, games, and studios.  Our goal is to launch exceptional video games that leverage distributed ledger tech while also providing a platform that will allow other game developers to do the same. At Mythical Games, we are proud of our ‘People First’ culture. We believe that it takes great people and culture to make great products.  By treating each other with empathy and respect, we can live fulfilling lives outside of our jobs while also creating exceptional work.We are looking for a skilled Data Engineer with a proven track record designing, building, and supporting data pipelines from multiple source systems. As a Data Engineer, you’ll contribute to projects across the company by providing custom end-to-end analytics integrations and improving efficiency through automated workflows. You’ll be a wizard with systems abstractions and puzzle-master building modular, reusable components that are critical to manageably supporting hundreds of pipelines as we scale. In this role, you’ll work in close collaboration with analysts, product managers, and engineers to gather requirements and problem-solve as one team, then translate that into robust, scalable solutions that work within the overall data architecture. The candidate will be based in Europe and will be required to communicate with colleagues in fluent Ukrainian and English. Responsibilities:

Design, develop, and implement a large-scale, high-volume, high-performance data warehouse Build, deploy, and support both batch and real-time, fault-tolerant, resilient data pipelines Participate in peer development and code review; comfortably iterate, optimize, and proactively help solve problems Develop datasets and models to meet the requirements of analysts and key stakeholders Research and implement AI advancements that automate the generation of analytical insights Play a key role in maintaining data integrity, security, and governance

Required Qualifications:

3+ years of experience working in a data engineering capacity Experience data modeling in large-scale OLAP data warehouses such as Google BigQuery Proficiency with object-oriented programming, REST APIs, and Python/R data science libraries Comfortable writing/debugging complex SQL scripts and ETL pipelines Experience with building Data Engineering Pipelines with Airflow (Astronomer, Google Cloud composer, etc) Experience with real-time distributed stream-processing frameworks such as Apache Kafka Experience working with large, unstructured datasets and cloud storage architecture Microservice and scalability-based mindset English level Upper-intermediate+

Preferred Qualifications:

Exposure to any/some/all of the following: Looker (LookML), dbt, Docker, CI/CD systems, Snowplow Experience optimizing SQL scripts and data models for distributed databases such as CockroachDB Interest in blockchain technology and video games

Location: Ukraine, Portugal. We offer:

Team of like-minded professionals who understand your game passion; Work in an international product company — Mythical Games is a resident of Diia City; Competitive financial reward; Health care starting on your first working day; 22 paid vacation days, paid sick leaves, and other personal days in accordance with the company’s internal policies; Flexible working hours; Referral bonuses; Financial support and PTO in case of special occasions are governed by the internal policies of the company. Our team values diversity and believes that it strengthens our games, products, and communities.  We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and people across all gender to apply.  If you need assistance with accommodations due to a disability, please reach out to [email protected]. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process.