Data Engineer

As a Data Engineer at Playson, your main responsibilities will include designing, developing, and maintaining efficient data pipelines that support business intelligence and analytics operations. You'll collaborate with the Business Intelligence team to create infrastructure that facilitates actionable insights, ensure data integrity and security across systems, and optimize ETL processes to enhance speed and reliability.

To qualify for the Data Engineer role at Playson, candidates should have over 4 years of experience in data engineering or a similar role. Proficiency in SQL and Python is essential, along with expertise in managing large-scale data systems and data pipelines. Familiarity with OLAP databases, BI tools such as Power BI or Tableau, and a solid understanding of data warehousing concepts are also crucial.

A Data Engineer at Playson should be proficient with various tools and technologies including SQL, Python, and microservice architectures. Experience with ETL processes and building OLAP databases is important, along with familiarity with real-time data streaming platforms like Apache Kafka, AWS data services, and tools like Redash and Clickhouse. Moreover, knowledge of data management best practices is key.

At Playson, a Data Engineer can expect a fast-paced and innovative work environment that values creativity and problem-solving. The company promotes a culture of collaboration, encouraging team members to integrate new tools and technologies into their work. With a focus on professional growth, employees have access to cutting-edge technology and opportunities to attend industry-leading events.

Playson offers a competitive compensation package with transparent bonus structures, comprehensive medical insurance, and financial support for life events. Employees enjoy unlimited vacation and sick leave policies, as well as opportunities for professional development. This supportive environment is tailored to help Data Engineers thrive both personally and professionally.

When answering, emphasize your specific experience with designing, implementing, and optimizing ETL processes. Share examples of the tools you've used (like Apache NiFi or Talend) and discuss the impact your work had on data accuracy and accessibility for the organization.

Highlight your proficiency in SQL and Python as these are critical for the Data Engineer role at Playson. Discuss how you utilize these languages in your daily tasks and how they aid in building robust data pipelines.

Explain your systematic approach to data validation, cleaning, and monitoring. Discuss specific techniques you employ, such as automated testing and data profiling, to maintain high standards of data quality and integrity.

Use the STAR method (Situation, Task, Action, Result) to outline a specific technical challenge, the steps you took to resolve it, and the successful outcome that followed. This showcases your problem-solving skills and resilience.

Talk about your collaborative strategies, including regular check-ins, understanding their data needs, and adapting your infrastructure accordingly. Share examples that highlight the importance of clear communication in your projects.

Mention any BI tools you have worked with such as Power BI or Tableau, and elaborate on how you integrated these with your data pipelines. Discuss the impact of effective data visualization on business decision-making.

Highlight any experience you've had with cloud platforms like AWS or Azure, emphasizing the data services you’ve used. Discuss how cloud solutions have enhanced the scalability and flexibility of your data engineering projects.

If applicable, detail any experience with real-time data streaming technologies such as Apache Kafka. Share examples where real-time data processing was crucial to the business and how you implemented those solutions.

Discuss your commitment to continuous learning, whether through online courses, attending conferences, or following industry blogs. Mention any communities or forums you participate in to remain engaged with the latest technologies and best practices.

Express your enthusiasm for both data engineering and the iGaming industry. Discuss specific aspects of Playson’s mission or projects that resonate with you and how you see yourself contributing to the exciting work being done.