Data Engineer designing and building scalable and reliable data pipelines for Novibet. Collaborating across teams to understand data needs and implement robust solutions in a dynamic environment.
Responsibilities
Design, and build scalable and reliable batch and streaming data pipelines using Python and Spark
Advocate for software architecture patterns, efficient data processing, modern data integration and solid data modeling
Create and optimize data models and schemas to facilitate efficient querying and reporting
Collaborate closely with various teams to understand data needs and implement robust solutions
Establish data governance policies to maintain data quality and consistency across the organization
Ensure data integrity and optimized storing of data
Set up monitoring and alerting systems to proactively identify and address data pipeline issues, ensuring high availability and reliability
Requirements
University and/or Postgraduate Degree in a relevant field
Minimum 2 years of work experience in a relevant role
Strong knowledge of Python and SQL
Strong knowledge of data modeling and database design principles
Knowledge of the best practices in data quality and quality engineering
Knowledge of one cloud platform Azure, AWS or GCP
Experience with deployment tools (Github Actions, Azure DevOps etc)
Ability to collaborate on projects and work independently when necessary
Strong interpersonal skills and a passion for mentoring and coaching
Working proficiency and communication skills in verbal and written English
Benefits
💰Competitive Compensation: Attractive salary and bonus scheme
🧑⚕️Health insurance: Group health & medical insurance package
💻Top-Notch Equipment: All the tools you need for your role
🚀Career Growth: Focused career development, performance management, and training opportunities
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