About the job
Join Novibet as an Analytics Engineer!
Are you prepared to step into a pivotal position within a vibrant and rapidly advancing company? If you have a keen enthusiasm for Data Analytics and excel in a high-energy environment, this could be the perfect opportunity for you.
About Us
Established in 2010, Novibet is a prominent GameTech company operating across Europe, the Americas, and other regions (including Greece, Brazil, Ireland, Finland, Mexico, Chile, Ecuador, Cyprus, and New Zealand). With hubs in Greece, Malta, Brazil, and Mexico, we proudly employ over 1,200 professionals globally. Our commitment to innovation ensures that we remain at the cutting edge of technological developments, continually pushing limits to provide seamless entertainment and online gaming experiences to our growing customer base.
Why Choose Novibet?
At Novibet, you will find the support and empowerment to thrive, focusing on personal and professional growth while engaging with a team of innovators who adapt to new challenges. We are dedicated to cultivating a positive, inclusive, and supportive workplace culture, enabling every individual to flourish.
Become part of a team of more than 1,200 people worldwide, where collaboration, innovation, and personal development are deeply valued.
Your Role
We are on the lookout for a proficient Analytics Engineer to join our expanding BI/Analytics Engineer team at Novibet. In this capacity, you will design, construct, and maintain scalable data pipelines and curated datasets that empower analytics, reporting, and strategic decision-making across the organization. You will collaborate closely with Data Analysts, BI Analysts, and work alongside the Data Analytics Team to guarantee reliable, high-quality data products within Azure Databricks.
Key Responsibilities
- Design, maintain, and optimize scalable ETL/ELT pipelines to effectively process and exchange data throughout our analytics ecosystem.
- Develop and sustain robust transformations in Azure Databricks, ensuring pipelines accommodate large workloads, intricate business logic, and integrations.
- Collaborate with Data Analysts and BI Analysts to provide analytics-ready datasets that fulfill reporting, KPI, and visualization needs (Tableau/Looker/Power BI or equivalent).
- Continuously assess and enhance the BI/data platform, focusing on reliability, scalability, efficiency, monitoring, and cost-effectiveness.
- Implement and promote data quality practices (validation checks, reconciliation, testing patterns) to enhance trust in reporting and decision-making.
- Address issues and maintain existing pipelines, datasets, and related business processes; conduct root-cause analysis and apply long-term solutions.
- Foster a culture of continuous improvement and knowledge sharing, including documentation, best practices, and reusable components.

