Offer summary

Qualifications:

At least 4 years of experience in data or leadership roles., Proficiency in SQL and Python, with knowledge of document databases., Familiarity with tools like Mixpanel, GrowthBook, and Databricks..

Key responsibilities:

Develop and communicate the data roadmap and strategy.

Ensure data quality and governance standards are met.

Facilitate efficient data access through tooling and processes.

Promote data-driven decision-making and automation across the organization.

Job description

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ 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.

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 datadriven 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 stateoftheart 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 tradeoffs between speed and quality while ensuring focus on highimpact tasks.
Advocate for the effective use of data across the organization.
Promote databased decisionmaking, such as determining what to validate with AB testing and what can be answered with data.
Push for automation and modern tooling, such as AI customer support and MLbased search personalization, wherever feasible.

Requirements
4+ years of experience in data andor leadership roles.
Excellent knowledge of SQL, Python and principles of document databases.
Familiar with Mixpanel, GrowthBook, Databricks.
Familiar with our low level stack: ElasticSearch, MariaDB, Redis, MongoDB.
Experience with Terraform and AWS.
Familiarity with AB 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: performancebased, 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 welldefined feedback and promotion processes.

*Please attach CVs in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https:www.eneba.comcandidateprivacynotice