Staff Data Engineer - Data Pipelines & Automation

Hard Rock Digital

Polska

Ibrido

PLN 260.000 - 360.000

Tempo pieno

4 giorni fa
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Vantaggi offerti da questo lavoro

Competitive pay
Flexible vacation allowance
Startup culture backed by a global, (

Descrizione del lavoro

Hard Rock Digital is seeking a Staff Data Engineer to join our growing product and technology teams. This role reports into the reporting team and will build data automation applications to ensure accurate and timely reports.

Beyond reporting, it may touch all aspects of the real money gaming operation. As a Staff Data Engineer, you will drive innovation, produce and maintain critical data deliverables, contribute quality code, and ensure the quality, scope, and timeliness of all deliverables.

Competenze

  • Degree in computer science or related field.
  • 8+ years of data engineering experience.
  • Strong communication and collaboration skills.
  • Experience using AI to enhance the full data life cycle.
  • Proven track record of automating data processes.
  • Strong SQL skills with DBT and templating.

Mansioni

  • Produce and maintain critical data deliverables and pipelines.
  • Contribute high-quality code and drive innovative solutions.
  • Own the quality, scope, and timeliness of all deliverables.
  • Collaborate across reporting, data science, and analytics teams.

Conoscenze

Python
SQL
Snowflake
Airflow
dbt
AWS Cloud
Data pipelines
AI in data lifecycle
Spark
Communication

Formazione

Bachelor's degree in Computer Science or related field
8+ years of relevant work experience

Strumenti

Snowflake
Airflow
dbt
Python

Descrizione del lavoro

Hard Rock Digital is seeking a Staff Data Engineer to join our growing product and technology teams. This role reports into the reporting team and will build data automation applications to ensure accurate and timely reports.

Beyond reporting, it may touch all aspects of the real money gaming operation. As a Staff Data Engineer, you will drive innovation, produce and maintain critical data deliverables, contribute quality code, and ensure the quality, scope, and timeliness of all deliverables.

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