We’re working with an established, data-driven tech company that operates at scale across multiple markets. Their teams are driving innovation powered by modern data infrastructure — and they’re now looking for a Senior Analytics Engineer to help shape the next phase of that journey.
In this role, you’ll be central to building and evolving the company’s data foundation, enabling cross-functional teams to turn complex information into actionable insights.
Tasks
What you’ll do
- Build and evolve data pipelines using Scala, Spark, and AWS (Step Functions, CloudWatch, SNS, Athena).
- Shape and maintain a company-wide data mesh architecture that delivers trusted, consistent data across all teams.
- Create intuitive dashboards and data models using SQL, Tableau, Looker, and Google Analytics.
- Automate and optimise workflows with CI/CD (CircleCI) for smooth, reliable deployments.
- Collaborate closely with cross-functional teams using Google Workspace, Jira, and Figma to align goals and deliver insights.
Requirements
- Strong background in data engineering and analytics, particularly building large-scale, high-performance pipelines in Scala/Spark.
- Expertise in SQL development and data modelling, with a focus on performance, scalability, and maintainability.
- Hands-on experience with AWS services and CI/CD automation.
- Proficiency with Tableau, Looker, and Google Analytics.
- Excellent communication skills, able to translate technical complexity into actionable insight for non-technical partners.
- A proactive, quality-focused mindset — constantly looking for ways to make data more accessible and impactful.
Join a fast-scaling tech platform revolutionizing marketplaces at scale. Work with elite engineering teams on mission-critical AI, data, and optimization challenges.
Extremely competitive comp + equity. Bucharest or Belgrade offices.
Apply to build the future of intelligent platforms.