FULL_TIME
2-5
Data Engineer
1/25/2026
The Data Engineer will design and develop scalable and secure ETL/ELT data pipelines and architecture. They will collaborate with cross-functional teams to deliver data-driven insights and optimize data infrastructure for performance and efficiency.
Working Hours
40 hours/week
Company Size
1,001-5,000 employees
Language
English
Visa Sponsorship
No
About The Company
SkillOnNet represents one of the leading casino software providers by offering customizable online casino platforms with an extensive range of state of the art games. With a wealth of experience in the industry, SkillOnNet casino software stands at the forefront of online casino software for sale delivering quality and technical expertise second to none.
At SkillOnNet, we pride ourselves in providing flexible online casino platforms that easily adapt to the gambling industry’s changing needs. Our customizable packages offer complete stability, scalability, and fast deployment to meet the varying needs of all of our customers.
About the Role
<p><span><strong>Responsibilities:</strong></span></p><p><span>- Design and develop scalable, secure ETL/ELT data pipelines and data architecture</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Optimize data infrastructure and workflows for performance, reliability, and efficiency</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Integrate AI/ML tools (e.g., LLMs) into data pipelines and software solutions</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Collaborate with cross-functional teams (data scientists, engineers, product) to deliver data-driven insights and solutions</span></p><p><span><strong>Must-Haves:</strong></span></p><p><span>- BSc in Computer Science or related field</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Strong programming skills in Java and Python</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Excellent analytical and problem-solving skills</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Solid data engineering experience in ETL/ELT pipeline development and data modeling, with a focus on scalable, secure systems and best practices</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Hands-on experience using AI/ML tools (e.g., LLMs) in software development</span></p><p><span><strong>Nice-to-Haves:</strong></span></p><p><span>- Domain knowledge in the online gaming industry (iGaming data and player analytics)</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Experience with cloud data platforms, especially Microsoft Azure services</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Familiarity with big data and streaming tools (Apache Spark, Kafka)</span><span style="font-family:Calibri, sans-serif;"><br></span><span>- Experience with BI and data visualization tools (Power BI, Tableau)</span></p><p style="text-align:right;"></p>
Key Skills
Data EngineeringETLELTData ArchitectureAIMLJavaPythonData ModelingProblem SolvingCloud Data PlatformsBig DataStreaming ToolsBI ToolsData Visualization
Categories
TechnologyData & AnalyticsSoftwareEngineering
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