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Now hiring

Data Engineer

RRemotiv5.0 Posted 2h ago
On-site Full time Karachi
USD 1k–3k / month
13 people applied this week

Pakistan's
talent. Hired by
the world.

🇺🇸San Francisco
🇬🇧London
🇵🇰Pakistan
Competitive salaryRemote / HybridFlexible hoursLearning budgetCompany laptop (if applicable)Paid time offHealth insurance (if offered)
01

Remote-first

Work from anywhere

02

Fast-growing

Early-stage energy

03

Open role

Join the team

About this role

Remotiv connects Pakistan's top talent with companies around the world. We're a talent marketplace where you apply once, get vetted, and we pitch you directly to local and global employers. No bidding wars, no middleman games. Just real roles, fair pay, and a team that backs you from application to offer. We're looking for a Data Engineer to support a client engagement in the manufacturing and quality space, working within an established data infrastructure while contributing to an active migration toward a modern cloud platform. You'll handle data ingestion from EQMS, ERP, LMS, and SCADA systems, build and optimize dbt models in Snowflake, manage orchestration across Apache Airflow and Fabric Pipelines, and maintain governance documentation in GitLab and SharePoint. This is a hands-on role requiring 3–5 years of data engineering experience and strong command of SQL and the modern data stack.

What you'll do

  • Build and maintain ingestion pipelines from EQMS, ERP, LMS, and SCADA source systems via replicated databases, vendor APIs, HVR, and AWS S3
Career growth
Mentorship
Team events
Performance bonus
International team
Competitive salary
Remote / Hybrid
Flexible hours
Learning budget
Company laptop (if applicable)
Paid time off
Health insurance (if offered)
Career growth
Mentorship
Team events
Performance bonus
International team
Develop and optimize dbt models - sources, staging, marts, tests - to deliver reporting-ready datasets in Snowflake
  • Write complex SQL for transformation, modeling, and querying across relational and cloud databases
  • Develop and maintain transformation logic in Power BI Gen1/Gen2 Dataflows and Microsoft Fabric Lakehouse
  • Manage pipeline scheduling and orchestration across Apache Airflow DAGs, Power Automate, and Fabric Pipelines
  • Monitor pipeline health, troubleshoot failures, and maintain SLA adherence across all data workflows
  • Support migration of transformation workloads from Power BI to Snowflake - assessing current-state dependencies and contributing to future-state design
  • Maintain pipeline documentation, lineage tracking, validation artifacts, and change history in GitLab and SharePoint
  • What we're looking for

    • 3–5 years of professional experience in data engineering or analytics engineering
    • Strong SQL skills across relational and cloud databases with hands-on Snowflake experience
    • Proven experience building production-grade dbt models including sources, staging, marts, tests, and documentation
    • Hands-on experience with Apache Airflow for pipeline orchestration and DAG management
    • Experience integrating SCADA or industrial source systems into data pipelines is a strong plus
    • Experience with data ingestion patterns - API-based, CDC, file-based - and replication tools such as HVR
    • Python proficiency for pipeline scripting, automation, and data validation
    • Familiarity with AWS S3, Microsoft Azure, or Microsoft Fabric tooling
    • Strong documentation discipline and ability to work independently across IT and business stakeholders
    • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
    DataExpertEnglish

    How hiring works

    Apply today. Interview tomorrow.

    1

    Apply in 2 minutes

    One form, no cover letter required.

    2

    Human screen

    Remotiv vets your skills within 24 hours.

    3

    Interview tomorrow

    Meet the hiring team — usually next day.

    4

    Offer within 2 weeks

    From application to signed — two weeks.

    Boarding pass Open

    Monthly compensation

    USD 1k–3k

    Paid monthly in USD or PKR

    Type
    Full time
    Work mode
    On-site
    Experience
    Expert
    Applicants
    13 so far

    Avg. response in 24 hours

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