Data Engineer

Company Description

GlobalBet is the biggest independent B2B provider of virtual sports solutions, offering the most realistic and reliable virtual sports product to the industry. We create and develop new game experiences for millions of players worldwide by bringing together experienced people that combine creativity, innovation, and passion. Our team is growing, and we are looking for a skilled Data Engineer to join our team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture and data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer behavior, operational efficiency, and other key business performance metrics, ensuring these tools are optimized to work within big data environments and distributed systems
• Design, implement, and maintain real-time streaming pipelines
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Work with data and analytics experts to strive for greater functionality in our data systems
  

Qualifications:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) and working familiarity with various databases
• Experience building and optimizing big-data data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Proficiency in developing and maintaining RESTful APIs to integrate BI tools and machine learning models into the data ecosystem
• Working knowledge of message queuing, stream processing, and highly scalable big-data data stores

Desired Skills:

• Experience with column-oriented and analytical databases (e.g. ClickHouse)
• Experience with big data tools: Hadoop, Spark, Kafka, RabbitMQ
• Experience with relational SQL and NoSQL databases, including MySQL
• Experience with data pipeline and workflow management tools
• Experience with Machine Learning model (e.g. regression, classification)
• Experience with stream-processing systems: Storm, Spark-Streaming, etc
• Proficiency in version control systems such as Git and Bitbucket
• Understanding of business requirements and transformation into data queries
  

Nice to have:

• Experience with object-oriented/object function scripting languages: Python
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Knowledge of monitoring and logging frameworks (e.g., Prometheus, Grafana, or ELK stack) to ensure operational visibility and uptime
  

Additional Information

We offer the chance of a versatile, demanding position in a dynamic family company with a startup mentality, in which you will receive an independent area of ​​responsibility and a high level of appreciation for your professional competence.

We also offer:

• Company and team events
• Ongoing training and further education
• An energetic atmosphere and opportunity to grow within and with the company

If you're a motivated and talented individual who's looking for an exciting new opportunity, you're ready to make a real impact in a growing company, and you have the skills and experience we're looking for, we want to hear from you. This role offers a chance to work with a dynamic and fast-paced team, while taking your career to the next level. We're excited to see what you bring to the table and look forward to the opportunity to learn more about you.

Please submit your CV in English, in PDF format.