Data Engineer, Product

🔥 0 minutes ago

🇪🇺 Europe – Remote

💵 €58k - €70k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eneba

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🛍️ eCommerce

🎮 Gaming

🏪 Marketplace

eCommerce • Gaming • Marketplace

Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.

📋 Description

• 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 and automate manual processes. • Design new and improve current patterns for building data models and implement necessary modifications. • Help scale Eneba's marketplace for gamers and support its data-driven decision-making foundation.

🎯 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. • Please attach CV's in English.

🏖️ Benefits

• 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.

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