Remote Senior Data Engineer: Scalable Pipelines & ML

Eneba; Polska; Hybrid; PLN 240,000 - 314,000; Full time

Benefits offered by this job

Employee Stock Options

Performance-based bonuses

Volunteer opportunities

Learning budget

Flexible work location

Travel opportunities

Job summary

Eneba is seeking an experienced Data Engineer to join our Data team in Poland. You will build and maintain data pipelines, collaborate with ML engineers on training and model release processes, and design scalable data infrastructure to support analytics and company metrics.

Ideal candidates have 5+ years in data engineering, strong Spark with Python skills, and hands-on Git and SQL experience. We offer remote-friendly work options and a competitive salary package.

Qualifications

• 5+ years of experience in data engineering or a similar role.
• Extensive experience with Apache Spark using Python for large-scale data processing.
• Familiarity with Databricks or Snowflake would be a significant advantage.
• Experience with AWS, Azure, or other Kubernetes platforms is a plus.
• Must have hands‑on expertise with Git for version control and collaboration.
• Solid knowledge of SQL, essential for querying and managing relational databases.

Responsibilities

• Enable efficient data access by creating and maintaining data pipelines.
• Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
• Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.
• Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes.
• Design new and improve current patterns for building data models and implement necessary modifications.

Skills

Spark with Python

Git

SQL

Cloud platforms (AWS/Azure)

Kubernetes

Databricks

Snowflake

Tools

Databricks

Snowflake

AWS

Azure

Kubernetes

Job description

Eneba is seeking an experienced Data Engineer to join our Data team in Poland. You will build and maintain data pipelines, collaborate with ML engineers on training and model release processes, and design scalable data infrastructure to support analytics and company metrics.

Ideal candidates have 5+ years in data engineering, strong Spark with Python skills, and hands-on Git and SQL experience. We offer remote-friendly work options and a competitive salary package.