Data Engineer, Product

This is a fully remote position, open to applicants in Europe.

📋 Description

• Facilitate efficient access to data by developing and maintaining data pipelines.

• Partner with ML engineers to establish and uphold automation for the machine learning training, quality evaluation, and model deployment process.

• Construct data infrastructure from extensive datasets for analytics, hypothesis testing, and company metrics.

• Recognize, design, and implement enhancements to internal processes that optimize data delivery and automate manual tasks.

• Create new and refine existing methodologies for constructing data models and apply necessary adjustments.

• Assist in scaling Eneba's marketplace for gamers and bolster its foundation for data-driven decision-making.

⛳️ Requirements

• Over 5 years of experience in data engineering or a related field.

• Significant experience with Apache Spark using Python for large-scale data processing.

• Knowledge of Databricks or similar cloud data platforms (such as Snowflake) is highly advantageous.

• Experience with AWS, Azure, or other Kubernetes platforms is a considerable plus.

• Must possess practical expertise in Git for version control and collaborative work.

• Strong understanding of SQL, crucial for querying and managing relational databases.

• Please submit CVs in English.

🏝️ Benefits

• Opportunity to participate in our Employee Stock Options program.

• Chance to contribute to the scaling of a unique product.

• Various bonus systems: performance-based, referral, additional paid leave, and personal learning budget.

• Paid volunteering opportunities available.

• Work from your preferred location: office, remote, or the possibility to work while traveling.

• Personal and professional growth at an accelerated pace, supported by well-defined feedback and promotion processes.