JobCubby JobCubby
Sign up
RebelDot

Lead Data Engineer

RebelDot Cluj-Napoca, Cluj, Romania

IT Services and IT Consulting · 201-500 employees

Jul 21
data-engineer Senior (5-10 yrs) Full-time Romania
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The Lead Data Engineer will lead the technical direction of data projects and mentor engineering teams to foster best practices. They will also design scalable data platforms and collaborate with cross-functional teams to deliver high-quality solutions.

What they look for

Data Engineering Data Architecture AWS Python Apache Airflow Astronomer Apache Iceberg Data Modeling Data Warehousing Stakeholder Management Mentoring DBT Snowflake Databricks Infrastructure as Code Terraform

Requirements

Candidates must have 5+ years of experience in Data Engineering or Architecture, including previous experience in a lead role. Strong hands-on proficiency with AWS, Python, Apache Airflow, and data modeling is required.

Full description

We're looking for a Lead Data Engineer who enjoys building modern data platforms while leading engineering teams through technical excellence, mentorship, and collaboration.

You might be our missing piece if you have:

  • 5+ years of experience in Data Engineering or Data Architecture.
  • Previous experience in a Technical Lead or Lead Engineer role.
  • Strong hands-on experience with AWS, Python, Apache Airflow, Astronomer (Astro) and Apache Iceberg.
  • Experience designing and building scalable data pipelines and cloud-native data platforms.
  • Good understanding of data modeling and data warehousing concepts.
  • Strong communication, mentoring and stakeholder management skills.
  • A sense of belonging while reading about our culture.

We would be thrilled if you have:

  • Experience with DBT, Snowflake or Databricks.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • AWS or other relevant cloud certifications.

We will be working together on:

  • Leading the technical direction of data engineering projects.
  • Mentoring engineers and fostering engineering best practices.
  • Designing and implementing scalable data platforms and pipelines.
  • Collaborating with clients and cross-functional teams to deliver high-quality solutions.
  • Driving technical decisions, architecture discussions and continuous improvement.
  • Supporting the growth of the Data Engineering practice through knowledge sharing and technical interviews.

Similar roles