Analytics Engineering Manager

Eneba · Remote · Europe ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Lead 10 analytics engineers
  • Fully remote work option
  • Stock options program
  • Fluent English required
  • Gaming marketplace scale

As the Analytics Engineering Lead at Eneba, you will set the strategic direction for analytics engineering and manage a team of approximately ten engineers. Your goal is to ensure curated data is directly usable by business teams, BI tools, and AI agents without intermediate analyst support.

You will establish data modeling architecture, engineering principles, and quality standards while partnering with stakeholders in Accounting, Payments, and Marketing. The role requires translating varied business needs into clear technical direction and fostering team autonomy through coaching and performance management.

What you'll do

  • Define and own the analytics engineering strategy, direction, and goals
  • Coach and develop a team of ten engineers through feedback and hiring
  • Establish data modeling architecture, principles, and quality standards
  • Enable reliable self-service analytics for business teams and AI agents
  • Evaluate the analytics landscape to decide what to improve or rebuild
  • Partner with stakeholders in Accounting, Payments, and Marketing
  • Translate stakeholder needs into clear technical direction for the team
  • Retain final ownership of analytics engineering architecture decisions

What you'll need

  • Proven experience leading data or analytics engineering teams
  • Experience defining strategy for analytics engineering or data modeling
  • Track record of establishing data modeling standards and principles
  • Strong business judgment focusing on problem solving over just building
  • Strong stakeholder management and executive-level communication skills
  • Ability to lead change and challenge existing approaches under pressure
  • Experience in high-growth organizations with low approval layers
  • Working knowledge of SQL, DBT, and at least one BI tool
  • Fluent English proficiency for business communication

Stack

  • SQL
  • DBT
  • BI tools

How you'll work

  • Work location of your choice: office, remote, or travel
  • International team with English as the business language

What you get

  • Employee Stock Options program
  • Performance-based and referral bonus systems
  • Additional paid leave and personal learning budget
  • Paid volunteering opportunities
  • Defined feedback and promotion processes