Engineering Manager - Data & AI

Datum Labs; Lahore; On-site; PKR 5,557,000 - 11,114,000; Full time

Benefits offered by this job

Competitive salary

Food, travel, gym allowance

Paid time off and holidays

Bi-annual increments and bonuses

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

Team leadership

Agentic AI

PR review

Client communication

Tools

dbt

Dagster

Kubernetes

Terraform

GitHub Actions

Job description

We are a data engineering and analytics company. We build data platforms for our customers: ingestion, warehousing, transformation, the infrastructure underneath it. We are changing our core to agentic AI, so this is not a caretaker role. You help us rebuild how we deliver, not just run what exists today. You own delivery quality, raise the technical bar, grow the team.
What you'll own

• Delivery quality and timelines on assigned client data platform teams. If delivery is at risk you get hands‑on, you don't just escal
  
• Team rituals - standups, sprint/ticket planning, retros. Remove blockers before they cost a sprint.
  
• Mentorship and growth of data engineers and analysts. Onboarding, coaching, performance management. 10x the mentorship we do today.
  
• Technical hiring loop for data engineering and analytics roles - screening, interviewing, final call.
  
• Client-facing communication on the data platform build. Answer/response to client should be under 1 hour.
  

Our engineering culture
Mandatory PR review on every repo. CODEOWNERS. Branch protection. Conventional commits. CI/CD as standard. Same rules for dbt, Dagster, pipeline code. This is not a checklist, this is the culture we hire into. You hold the whole team to it, including yourself.

What we're looking for

• 5+ years in data engineering or software engineering, 2+ years leading or managing an engineering team.
  
• Hands‑on experience building and shipping agentic AI systems. Required, not a nice‑to‑have. This role is core to changing how we deliver, not maintaining what exists today.
  
• Still comfortable reviewing PRs and debugging pipeline or warehouse issues yourself. This is not a purely administrative role.
  
• Experience delivering client-facing data platforms under real deadlines - ingestion, transformation (dbt), orchestration (Dagster), the cloud infra underneath.
  
• Cloud infra and CI/CD (Kubernetes, Terraform, GitHub Actions) is a strong plus given overlap with our DevOps hiring.
  
• Excellent async, written communication. We are a Slack-native, distributed team.
  

What we offer

• Competitive salary
  
• Food, travel, gym allowance
  
• Paid time off and holidays
  
• Bi-annual increments and bonuses.
  
• Opportunity for certifications
  
• Monthly pay in USD, as foreign remittance
  
• Flexible working hours