Data Engineer

9 hours ago

Dhaka, Dhaka, Bangladesh Runestone Intelligence Full time

About Runestone Intelligence

Runestone Intelligence is a global AI and data innovation company headquartered at the DIFC AI Campus, Dubai — with strong Nordic roots and growing presence across Europe, the Middle East, and South Asia.

We work on world-class AI projects spanning retail, fintech, maritime, and sustainability sectors — developing end-to-end data and machine learning solutions that power real-world decisions.

Role Overview

We are looking for a
Data Engineer / ML Engineer
with strong
Databricks
experience to join our growing global engineering team.

You'll help design, build, and optimize scalable data and ML pipelines in a cloud environment (Azure / GCP / AWS), enabling real-time analytics, AI model deployment, and business intelligence at scale.

Key Responsibilities

  • Design and implement data pipelines for ingestion, transformation, and storage using
    Databricks
  • Work with
    Spark, Delta Lake
    , and
    MLflow
    to manage and monitor ML workloads
  • Collaborate with data scientists and product teams to deploy ML models into production
  • Optimize performance and cost-efficiency across cloud infrastructure
  • Maintain CI/CD and data quality processes for production pipelines
  • Contribute to architecture discussions and innovation in AI-driven products

Requirements

Proven experience in
Data Engineering or ML Engineering
(3+ years preferred)

Hands-on experience with
Databricks
(Workspace, Unity Catalog, Delta Live Tables, MLflow)

Strong knowledge of
Python
,
SQL
, and
PySpark

Experience with
Azure, GCP, or AWS
data ecosystems

Solid understanding of modern data architectures (lakehouse, ETL/ELT, orchestration)


Databricks certification
(e.g.
Data Engineer Associate / Professional
,
Machine Learning Associate
) is a big plus

Experience with
Docker, Airflow, Terraform, or CI/CD
pipelines is a plus

What We Offer

A chance to work on high-impact AI projects across industries and continents

Global collaboration with experts in AI, analytics, and engineering

Flexible location & working setup

Long-term growth opportunities within a fast-scaling AI firm

How to Apply

apply directly here on LinkedIn.

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