Engineering Manager, Data Platforms & Agentic AI

Datum Labs

Lahore

Vor Ort

PKR 5.557.000 - 11.114.000

Vollzeit

Gerade eben
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive salary
Food, travel, gym allowance
Paid time off and holidays
Bi-annual increments and bonuses

Zusammenfassung

Datum Labs, a data engineering and analytics company in Lahore, is evolving to agentic AI delivery. We seek a hands-on leader who will own delivery quality, raise the technical bar, and grow the team beyond caretaking.

You will mentor engineers, shape hiring, manage client-facing builds, and ensure fast, clear communication with clients. The role blends engineering depth with leadership in a distributed, Slack-native environment.

Qualifikationen

  • 5+ years in data engineering or software engineering, with 2+ years leading a team.
  • Hands-on experience building agentic AI systems.
  • Able to review PRs and troubleshoot pipelines and warehouse issues.
  • Experience delivering client-facing data platforms under real deadlines.
  • Cloud infra and CI/CD experience with Kubernetes, Terraform, GitHub Actions.

Aufgaben

  • Own delivery quality and timelines for client data platform teams. If delivery is at risk you get hands-on.
  • Lead team rituals — standups, sprint planning, retros. Remove blockers before a sprint costs.
  • Mentor and grow data engineers and analysts; onboarding and performance management.
  • Own technical hiring loop for data roles — screen, interview, final call.
  • Client-facing communication on the data platform build; respond within 1 hour.

Kenntnisse

Data engineering
Team leadership
Agentic AI
PR review
Client communication

Tools

dbt
Dagster
Kubernetes
Terraform
GitHub Actions

Jobbeschreibung

Datum Labs, a data engineering and analytics company in Lahore, is evolving to agentic AI delivery. We seek a hands-on leader who will own delivery quality, raise the technical bar, and grow the team beyond caretaking.

You will mentor engineers, shape hiring, manage client-facing builds, and ensure fast, clear communication with clients. The role blends engineering depth with leadership in a distributed, Slack-native environment.

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