Data Engineer

Pronet Gaming; Metro Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Pronet Gaming is seeking a Data Engineer passionate about turning data into insights and building the infrastructure that powers decision-making. You’ll collect, store, process, and analyze data sets—selecting the best tools for the job, implementing and maintaining them, and ensuring seamless integration with our overall systems.

You will design robust data pipelines, monitor data quality, and build dashboards to empower stakeholders across global markets.

Qualifications

• Solid foundation in object-oriented design and development.
• Practical experience with Unix/Linux systems and shell scripting.
• Java/Scala programming.
• Building and consuming RESTful APIs.
• Working with SQL and NoSQL databases, including understanding data modeling and trade-offs.
• Managing columnar, distributed, and row-based databases.
• Strong research skills to discover and apply best practices.
• Passion for improving systems, optimizing processes, and exploring new tech.
• Proactive, self-motivated, and results-focused.
• Excellent English communication skills, both written and spoken.
• Experience with open-source distributed data processing technologies (Kubernetes, Hadoop, HBase, Hive, Kafka, Storm) is a plus.

Responsibilities

• Monitor and continuously improve data quality and reliability.
• Recommend new approaches to make our data more robust and actionable.
• Develop insightful reports and dashboards for various stakeholders.
• Build and maintain scalable data pipelines using Spark.

Job description

Gaming operators looking for platform solutions need an omni-channel turnkey provider that truly understands their needs, wants and challenges. That’s why the team at Pronet Gaming have been handpicked for their extensive B2C and B2B industry experience and local-market knowledge in the regions we serve – so that we can provide our clients with first-class service and guidance

Since 1996, our approach to business has been centred around collaboration – working with our clients on a consultancy basis. Every member of our team is customer-focused and we’re committed to helping our operator clients achieve their specific strategic goals across global markets.

We do what we say, on time, every time. We work closely with our clients to provide robust and effective plans of action, working strategically to deliver the optimal iGaming solutions for your specific business objectives and audience needs.

We’re dedicated to progression

We employ industry experts around the world with specialist knowledge in emerging markets and localisation, who keep one step ahead of market trends to ensure that our customers stay ahead of the game.

We invest in the best iGaming developers, design teams and infrastructure around the world to deliver progressive, constantly evolving technological solutions that help to give our operator clients the competitive edge.

DATA ENGINEER

We're on the lookout for a Data Engineer who’s passionate about turning data into insights

and building the infrastructure that powers decision-making. You'll be at the heart of

collecting, storing, processing, and analyzing data sets — selecting the best tools for the job,

implementing and maintaining them, and ensuring they integrate seamlessly into our overall

What You’ll Do:

• Monitor and continuously improve data quality and reliability
• Recommend new approaches to make our data even more robust and actionable
• Develop insightful reports and dashboards for various stakeholders
• Build and maintain scalable data pipelines using Spark

What We’re Looking For:

• Solid foundation in object-oriented design and development
• Practical experience with:
• Unix/Linux systems and shell scripting
• Java/Scala programming
• Building and consuming RESTful APIs
• Working with SQL and NoSQL databases, including understanding data
• modeling and trade-offs
• Managing columnar, distributed, and row-based databases
• Strong research skills to discover and apply best practices
• Passion for improving systems, optimizing processes, and exploring new tech
• Proactive, self-motivated, and results-focused
• Excellent English communication skills, both written and spoken
• Experience with open-source distributed data processing technologies (Kubernetes, Hadoop, HBase, Hive, Kafka, Storm, etc.) is a plus but not required
• Familiarity with streaming architectures is a plus but not required