[Hiring] Analytics Engineering Lead @Eneba

Role Description

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.

• 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.

Qualifications

• 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).

Requirements

• 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 here .

Benefits

• 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.