Data Engineer

TL;DR

Data Engineer: Building and maintaining data pipelines and infrastructure to enable efficient data access for analytics, hypothesis testing, and company metrics with an accent on collaboration with ML engineers on automation, optimizing data delivery processes, and designing scalable data models. Focus on creating and maintaining robust data infrastructure for diverse data sources and supporting the full lifecycle of machine learning models.

Location: Remote (global, work from anywhere)

Salary: €55,000–€70,000 a year

Company

hirify.global is building an open, safe, and sustainable marketplace for gamers, supporting over 20 million active users globally.

What you will do

• Create and maintain data pipelines to enable efficient data access.
• Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release processes.
• Build data infrastructure from vast amounts of data for analytics, hypothesis testing, and company metrics.
• Identify, design, and implement improvements to internal processes for optimizing data delivery and automating manual tasks.
• Design new and improve current patterns for building data models and implement necessary modifications.

Requirements

• 3+ years of experience in data engineering or a similar role.
• Extensive experience with Apache Spark using Python for large-scale data processing.
• Hands-on expertise with Git for version control and collaboration.
• Solid knowledge of SQL for querying and managing relational databases.
• Good English level is required.

Nice to have

• Familiarity with Databricks or similar cloud data platforms (such as Snowflake).
• Experience with AWS, Azure, or other Kubernetes platforms.
• Proficiency in English.

Culture & Benefits

• Opportunity to join the Employee Stock Options program.
• Opportunity to help scale a unique product.
• Various bonus systems, including performance-based and referral bonuses.
• Additional paid leave and a personal learning budget.
• Paid volunteering opportunities.
• Personal and professional growth supported by well-defined feedback and promotion processes.