We’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports more than 10m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

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About the team

We are a Data team dedicated to bringing together specialists who are passionate about data. Our mission is to support the growth of Eneba by empowering the organization to make data-driven decisions through a strong data foundation. We aim to cultivate a healthy data culture across the organization and provide our colleagues with seamless access to the data they need for their daily tasks. Our team includes machine learning experts developing advanced models, data analysts offering essential insights to teams, and data engineers building state-of-the-art data pipeline solutions.

Responsibilities

— Build, align, and communicate the data roadmap outlining the goals, timeline, and objectives.

— Take ownership of data quality and governance by defining standards and establishing quality metrics.

— Enable efficient data access by guiding tooling and processes.

— Lead strategy execution as an individual contributor and set an example through action.

— Understand the significance of data for different parts of the organization, making trade-offs between speed and quality while ensuring focus on high-impact tasks.

— Advocate for the effective use of data across the organization.

— Promote data-based decision-making, such as determining what to validate with A/B testing and what can be answered with data.

— Push for automation and modern tooling, such as AI customer support and ML-based search personalization, wherever feasible.

Requirements

— 4+ years of experience in data and/or leadership roles.

— Excellent knowledge of SQL and principles of document databases.

— Familiar with Mixpanel, Growthbook, Redash

— Familiar with our low level stack: ElasticSearch, MariaDB, Redis, MongoDB

— Experience with Terraform and AWS.

— Familiarity with a/b testing and experimentation in general, causal Inference, ML Ops, Data Ops.

What it’s like to work at Eneba

— Opportunity to join our Employee Stock Options program.

— Opportunity to help scale a unique product.

— Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.

— Paid volunteering opportunities.

— Work location of your choice: office, remote, opportunity to work and travel.

— Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.