Remote Senior Data Engineer – Azure & AI Platform

gravity9; Polska; Remote; PLN 240,000 - 360,000; Full time

Job summary

gravity9 is seeking a Senior Data Engineer to join the Digital Practice's Product Development team. You will design and operate data pipelines, build AI-enabled analytics solutions on Microsoft Azure, and mentor team members in an agile environment.

You will lead ingestion and ETL/ELT efforts, shape data architecture, ensure governance and security, and collaborate with engineers, data scientists and designers to deliver trusted data for analytics and AI across client engagements.

Qualifications

• 7+ years in data engineering or software development.
• 3+ years hands-on with Azure Databricks or Spark.
• Proficient in Python, PySpark, and SQL; strong data modelling.
• Experience with CI/CD and infrastructure-as-code (Terraform, Bicep).
• Experience in agile delivery and mentoring juniors.

Responsibilities

• Design, build and operate ingestion and orchestration pipelines in Azure.
• Develop ETL/ELT in Azure Databricks using a medallion architecture.
• Lead code reviews and set engineering standards across DEV, UAT, PROD.
• Shape data architecture decisions, including semantic models for analytics/AI.
• Ensure data governance, security and access controls per requirements.
• Communicate progress and risks to stakeholders; stay updated on tech developments.

Skills

Python

PySpark

SQL

Data modeling

Agile delivery

Mentoring

Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Azure Databricks

Azure Data Factory

Spark

Terraform

Bicep

Databricks Asset Bundles

Azure DevOps

GitHub

Job description

gravity9 is seeking a Senior Data Engineer to join the Digital Practice's Product Development team. You will design and operate data pipelines, build AI-enabled analytics solutions on Microsoft Azure, and mentor team members in an agile environment.

You will lead ingestion and ETL/ELT efforts, shape data architecture, ensure governance and security, and collaborate with engineers, data scientists and designers to deliver trusted data for analytics and AI across client engagements.