Data Engineer

Welcome to Byborg! As a leader in IT and streaming solutions, we specialize in delivering high-quality services that offer premium online experiences.

Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation. Today, working with the latest technology, our platforms serve millions of users daily.

We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (AdultTime.com, LoyalFans.com, The Million Roses, Kinkly.com).

Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential.

Help us shape the future!

Join our Data Engineering team at Byborg and help power LiveJasmin, one of the world's largest video streaming platforms with millions of users and high-throughput systems. You'll work at the intersection of large-scale data processing, experimentation, and personalized user experiences — building the infrastructure that enables insight, innovation, and strategic decisions across the business.

This is a high-impact role where your work will be felt across product development, user experience, and business intelligence. You'll work alongside experienced engineers, analysts, and product teams in a collaborative, fast-paced environment where data truly drives decisions.

What you will do:

Build Scalable, Reliable Data Infrastructure

• Design and maintain robust ETL/ELT pipelines using BigQuery, dbt, Dataform, and Cloud Dataflow.
• Ingest and model data from diverse sources including GA4, event streams, and internal platforms.
• Build well-structured fact and dimension tables to enable granular analytics and personalization.

Ensure Data Accuracy and Trust

• Implement automated data validation, anomaly detection, and backfill systems.
• Monitor and improve pipeline reliability and data transparency.

Enable Analytics & Product Experimentation

• Collaborate with analysts, product managers, and CRO teams to turn business questions into scalable solutions.
• Support and enhance our A/B testing infrastructure (segmentation, statistical testing, lift calculations).

Optimize for Scale and Efficiency

• Tune workflows for performance and cost-efficiency using tools like Airflow / Cloud Composer.
• Identify opportunities for optimization across storage, compute, and orchestration.
• Promote a Data-Driven Culture
• Develop self-serve dashboards and semantic models using Looker (or similar BI tools).
• Champion best practices for data modeling, versioning, and CI/CD for analytics workflows.

What we are looking for:

Core Skills

• 3+ years of experience as a Data Engineer or similar role.
• Strong SQL and Python skills; experience with data modeling and pipeline development.
• Solid understanding of the Google Cloud Platform ecosystem (BigQuery, Dataflow, Cloud Storage).
• Hands-on experience with tools like dbt, Airflow, Spark, or equivalent.

Analytics & Experimentation

• Familiarity with A/B testing methodologies, including statistical significance and uplift measurement.
• Experience working with analytics or data science teams on experiments or models.

Collaboration & Communication

• Strong cross-functional communication skills — able to align with product, engineering, and business teams.
• Capable of explaining complex technical concepts to non-technical audiences.

Bonus points:

• Experience with Looker or other modern BI tools.
• Familiarity with CI/CD for data pipelines and infrastructure-as-code tools.

Join us for:

• Impact: Shape the data backbone of a global-scale product used by millions.
• Growth: Expand your skills across cloud architecture, data engineering, and experimentation.
• Culture: Join a collaborative, data-driven team that values innovation, autonomy, and technical excellence.