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Eneba

Data Engineer, Product

Eneba Kaunas, Kaunas County, Lithuania · €55K–€72K/yr

Computer Games · 201-500 employees

Jul 06
Remote data-engineer Senior (5-10 yrs) Full-time Lithuania
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About the role

You will design and maintain efficient data pipelines while collaborating with ML engineers to automate model training and release processes. Additionally, you will build robust data infrastructure to support analytics, hypothesis testing, and company metrics.

What they look for

Data Engineering Apache Spark Python Databricks Snowflake AWS Azure Kubernetes Git SQL Data Pipelines Machine Learning Data Infrastructure Automation Data Modeling

Requirements

Candidates must have at least 5 years of experience in data engineering with extensive proficiency in Apache Spark and Python. Strong knowledge of SQL and experience with cloud platforms like Databricks, AWS, or Azure are essential for this role.

Benefits

Employee Stock Options Performance-based bonus Referral bonus Additional paid leave Personal learning budget Paid volunteering opportunities

Full description

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

About the team

We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions.

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.

Requirements

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

Salary ranges: 55000-72 000 euro gross annually

What it’s like to work at Eneba

 

*Opportunity to join our Employee Stock Options program.

*Opportunity to help scale a unique product. 

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

*Paid volunteering opportunities.

*Work location of your choice: office, remote, opportunity to work and travel.

*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. 

 

*Please attach CV's in English.

*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

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