Analytics Engineering Lead

Posted Yesterday
Be an Early Applicant
27 Locations
Remote
75K-85K Annually
Expert/Leader
Gaming • Esports
The Role
Lead Eneba’s analytics engineering function and a team of approximately 10 engineers. Set strategy, establish data-modeling architecture and quality standards, and deliver trusted, curated data for business teams, BI tools, and AI agents. Partner with senior stakeholders, translate business needs into technical direction, evaluate analytics tooling, promote self-service analytics, and coach team members through hiring, performance management, and professional development.
Summary Generated by Built In
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 role

We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers.

You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between.

What you’ll do
  • Create and own the analytics engineering strategy, direction, and goals.

  • Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous.

  • Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models.

  • Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence.

  • Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance.

  • Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated.

  • Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders.

  • Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team.

  • Identify and empower technical experts within the existing team to help define and implement engineering standards.

  • Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions.

Requirements
  • Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies.

  • Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function.

  • A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models.

  • Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built.

  • Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions.

  • Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed.

  • Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful.

  • Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool.

  • Fluent English (business proficiency required)

 

Salary ranges: 75 000-85 000 eur gross annually

*We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred.

*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

 
 

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.

Skills Required

  • Proven experience leading and developing data, analytics, or analytics engineering teams in product-focused technology companies
  • People-management experience
  • Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function
  • Experience establishing data-modeling architecture, principles, or standards
  • Strong business judgment focused on the business problems data solves
  • Strong stakeholder management and communication skills
  • Experience partnering with product leadership and representing data in executive-level and cross-functional discussions
  • Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure
  • Experience operating in a high-growth, fast-moving organization supporting multiple business functions
  • Scale-up experience
  • Working knowledge of SQL and data modeling
  • Hands-on experience with dbt
  • Familiarity with at least one BI or dashboarding tool
  • Fluent English with business proficiency
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The Company
London, England
210 Employees
Year Founded: 2018

What We Do

Our story so far... Vytis and Zygis, co-founders of Eneba, are avid gamers themselves. Their story began in the early 2000s, sharing a dorm room. Students being students, they spent countless nights playing StarCraft, Lineage II, WarCraft, Heroes III, Command & Conquer, Civilization, FIFA, NBA, NukeZone, Counter-Strike, and Doom to name a few ;) And, actually, most of the early business ideas came to them while gaming. Fast forward through a couple of companies built and a lot of learning, our co-founders decided to circle back to what sparked entrepreneurship in them - gaming! That’s how we came about. Eneba was born in 2018. Today, our marketplace supports more than 9m 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!

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