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Netherlands
2 weeks ago
Engineering Manager - Analytics House logo

Engineering Manager - Analytics House

DoiT

Netherlands
2 weeks ago
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Engineering Manager - Analytics House

DoiT is hiring an Engineering Manager for its Analytics House team. This hands-on, player-coach role involves leading a remote engineering team, writing code, and driving technical and team growth. Requires 10+ years of engineering experience with 4+ years in management, cloud-based SaaS expertise, and strong SQL/BigQuery skills.

AI-enabledRemoteFull-timeDirectorAWSGCP

Engineering Manager - Analytics House

DoiT is hiring an Engineering Manager for its Analytics House team. This hands-on, player-coach role involves leading a remote engineering team, writing code, and driving technical and team growth. Requires 10+ years of engineering experience with 4+ years in management, cloud-based SaaS expertise, and strong SQL/BigQuery skills.

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AI-enabledRemoteFull-timeDirectorAWS

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Remote

Experience Required

10 years

Employment Type

Full-time

Experience Level

10+ years of engineering experience, including 4+ years in engineering management

Core Qualifications

Technical (Must-have)
AWSGCPAzureSQLBigQueryKubernetesGenAICloudOpsREST APIsDatabasesQuery OptimizationCode ReviewArchitecture DesignPerformance ManagementHiring
Soft Skills
LeadershipCommunicationMentoringDecision-makingCandorAdaptabilityCollaborationProblem-solving

Preferred Qualifications

Technical (Nice-to-have)
AI-augmented workflowMulti-cloud experienceScaling teams

Key Responsibilities

  • •Lead a team of engineers, owning delivery and development.
  • •Lead continuous improvement mindset and process within the team.
  • •Develop engineers through 1:1s, growth plans, performance reviews, and feedback.
  • •Develop next layer of leadership (tech leads, senior engineers).
  • •Write and review code; drive architectural and technical design decisions.
  • •Uphold engineering standards through PR review and release process.
  • •Work AI-augmented and lead an AI-augmented team.
  • •Own team's commitments: what, when, and quality bar.
  • •Run disciplined planning, prioritization, and delivery cadence.
  • •Partner with Technical Product Owner and Product team on scope and tradeoffs.
  • •Understand business objectives and translate context for the team.
  • •React decisively to change, re-planning and re-prioritizing.
  • •Own hiring for the team: interview, decide, maintain bar.
  • •Recruit, coach, and make hard calls when needed.
  • •Operate as role model for other engineering managers.
  • •Communicate clearly upward, downward, and sideways.
Engineering ManagerAnalyticsCloudSaaSRemoteKubernetesBigQueryAWSGCPAzure
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