Data Engineer - GCP
Budapest, Hungary
Docler Holding
Docler Holding gathers multidisciplinary companies in technology, media, entertainment, sports and the artsCompany Description
Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for 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 and today our platforms serve millions of users daily.
Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart.
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 (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!
Job Description
What You’ll Do
Data Warehousing & Transformation:
Optimize our data infrastructure on Google Cloud, ensuring efficient storage, seamless integration, and robust transformation processes that prepare data for deep-dive analytics.Advanced Analytics & Statistical Modeling:
Apply predictive modeling, regression analysis, clustering, and A/B testing techniques to uncover trends and patterns that drive strategic business decisions.Looker Dashboarding & Visualization:
Create, deploy, and maintain interactive, real-time dashboards using Looker. Develop custom visualizations that enable stakeholders to monitor KPIs and performance metrics at a glance, facilitating prompt and informed actions.Collaborative Innovation:
Partner closely with data scientists, data engineers, and business stakeholders to gather requirements, validate insights, and ensure that analytical solutions align with organizational objectives. Advocate for best practices in data testing, automation, and version control.Continuous Learning & Improvement:
Stay ahead of industry trends and emerging technologies on the Google Cloud Platform. Regularly evaluate and integrate new tools and methodologies to enhance our data engineering and analytics capabilities.- Design & Develop Cloud-Based Data Pipelines:
Build, and maintain scalable ETL/ELT pipelines leveraging Google Cloud services such as BigQuery, Cloud Dataflow, and Cloud Storage. Transform raw data into high-quality, actionable datasets ready for analysis.
Qualifications
Educational Background:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related field.Technical Expertise:
- Proficient in SQL for advanced querying and data manipulation.
- Skilled in Python for data processing, scripting, and pipeline automation.
- Hands-on experience with Google Cloud Platform services, particularly BigQuery, Cloud Dataflow, and related tools.
- Proven experience with Looker, including designing and deploying dashboards that drive actionable insights.
Analytical & Modeling Skills:
Demonstrated ability to build and implement statistical models, perform predictive analytics, and execute data transformation techniques to support strategic initiatives.Engineering Mindset:
Familiarity with software engineering best practices such as version control, CI/CD, testing, and documentation. A proactive approach to building scalable and reliable data solutions.Collaboration & Communication:
Excellent verbal and written communication skills with a proven track record of working collaboratively in cross-functional, agile environments. Ability to translate technical data insights for non-technical audiences.
Additional Information
- Exceptional Salary Package
- Professional challenges
- Working in a creative and innovative environment with amazing colleagues
- High degree of independence, rapid professional development
- Cafeteria (gross 500.000 Ft / year)
- Private health insurance (Medicover)
- AYCM sportpass
Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.
DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion.
NOTE: Byborg Enterprises SA does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.
We are in it for the long haul so your future is safe with us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile BigQuery CI/CD Clustering Computer Science Dataflow Data pipelines Data Warehousing ELT Engineering ETL GCP Google Cloud KPIs Looker Pipelines Predictive modeling Python SQL Statistical modeling Statistics Streaming Testing
Perks/benefits: Career development Health care Insurance
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